marshall ce 254 trip-distribution

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Wes Marshall, P.E. University of Connecticut February 2008 CE 254 Transportation Engineering The Four-Step Model: II. Trip Distribution

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  • CE 254Transportation EngineeringWes Marshall, P.E. University of Connecticut February 2008The Four-Step Model:

    II. Trip Distribution

  • The Basic Transportation ModelStudy Area Zones Attributes of ZonesSocioeconomic DataLand Use DataCost of Travel btw. ZonesThe Road Network Traffic Volume by Road Link Mode Splits EmissionsInputsOutputs

  • Whats in the Black Box?The Four-Step Model

  • The Four-Step Modeling Process Trip Generation

    Trip Distribution

    Mode Choice

    Trip AssignmentWHY?

  • The Four-Step ModelThe main reason we use the four-step model is:To predict roadway traffic volumes & traffic problems such as congestion and pollution emissions In turn, we typically use the models to compare several transportation alternatives

  • The Four-Step ModelOriginally developed in the 1950s with the interstate highway movement Since the 1950s, researchers have developed a multitude of advanced modeling techniques

    Nevertheless, most agencies still use the good ol four-step model

  • Overview of the Four-Step Model

  • Model residential trip productions and non-residential trip attractions w/ - Regression Models- Trip-Rate Analysis- Cross-Classification Models - i.e. traffic flows on network, ridership on transit lines - A matrix of trips between each TAZ also called a trip table - i.e. columns of trip productions and trip attractions

    - No. of Housing Units - Office, Industrial SF - HH Size- Income- No. of CarsIterative Process

    Land Use DataInput:Household Socioeconomic Data}Examples of HH socioeconomic data}Examples of land use dataOutput:Trip Ends by purpose Input:Trip Ends by purpose Output:Trip Interchanges Input:Trip Interchanges Output:Trip Table by ModeInput:Trip Table by Mode Output:Daily Link Traffic Volumes TRIP GENERATIONTRIP DISTRIBUTIONMODE CHOICETRIP ASSIGNMENTProcess:Survey DataGrowth Factor ModelsNot as accurate as Gravity ModelUsed for external trips or short-term planningGravity ModelUsed for regional or long-term planning Process:

  • - i.e. traffic flows on network, ridership on transit linesIterative ProcessInput:Trip Interchanges Output:Trip Table by ModeInput:Trip Table by Mode Output:Daily Link Traffic Volumes MODE CHOICETRIP ASSIGNMENTFinds trip interchanges between i & j for each mode- Function of Trip Maker, Journey, and Transport FacilityTrip End ModelMode plays role in trip endsTypically used for small cities with little traffic and little transitNo accounting for the role that policy decisions play in mode choiceTrip Interchance ModelUse when LOS is important, transit is a true choice, highways are congested, and parking is limited Process:Allocate trips to links between nodes i & j- Function of Path to Destination and Minimum Cost (time & money)Identify Attractive Routes via Tree BuildingShortest Path Algorithm or Dijkstras AlgorithmAssign Portions of Matrix to Routes / TreeUser Equilibrium, Heuristic Methods, Stochastic Effects w/ LogitSearch for ConvergenceProcess:

  • Some General Problems with the Conventional MethodologyHuge focus on vehicular traffic A transit component is typical in better modelsTypically forecasts huge increases in trafficLeads to engineers building bigger roads to accommodate forecast traffic Which leads to induced traffic and congestion right back where we started when we needed the bigger roads in the first place

  • Some General Problems with the Conventional MethodologyPedestrians and bicyclists are rarely includedLevel of geography is difficult for non-motorized modesNetwork scale is insignificantInput variables are too limited

  • Preparing for a Four-Step ModelBefore jumping into trip generation, we first have to set up our project

    Define study area and boundariesEstablish the transportation networkCreate the zones

  • Defining the Study Area3 Basic TypesRegionalStatewide or a large metro areaUsed to predict larger patterns of traffic distribution, growth, and emissionsCorridorMajor facility such as a freeway, arterial, or transit lineUsed to evaluate trafficSite or ProjectProposed development or small scale change (i.e. intersection improvement)Used to evaluate traffic impact

  • Establish the NetworkRoads are represented by a series of links & nodes

    Links are defined by speed and capacityTurns are allowed at nodesLinkNode

  • Establish the NetworkTypically only main roads and intersections are included Even collector roads are often excludedThis practice is becoming less common as the processing power of computers has increased

  • Creating ZonesCreate Traffic Analysis Zones (TAZ)Uniform land useBounded by major roadsTypically small in size (about the size of a few neighborhood blocks) The State of Connecticut model has ~2,000 zones that cover 5,500 square miles and over 3.4 million people

  • Creating ZonesAll modeled trips begin in a zone and are destined for a zoneZones are usually large enough that most pedestrian and bicycle trips start and end in the same zone (and thus not modeled)Also, the typical data we collect about zones in terms of population and employment information is not enough to predict levels of walking and biking

  • Trip Generation

  • Trip GenerationUsing socioeconomic data, we try to estimate how many trips are produced by each TAZFor example, we might use linear regression to estimate that a 2-person, 2-car household with a total income of $90,000 makes 2 home-based work trips per day Using land use data, we estimate how many trips are attracted to each TAZFor example, an 3,000 SF office might bring in 12 work trips per day

  • Trip GenerationThe process considers the total number of tripsThus, walking and biking trips have not been officially excluded (although most models ignore them completely)The trips are generated by trip purpose such as work or shoppingRecreational or discretionary trips are difficult to include

  • Trip GenerationSocioeconomic DataLand Use DataInput:Output:Trip Ends by purpose (i.e. work) in columns of productions & attractions

    Sheet1

    TAZProductionsTAZAttractions

    11219

    219212

    33534

    44438

    55545

    61066

    71374

    82282

    120120

    Sheet2

    Sheet3

    Sheet1

    TAZProductionsTAZAttractions

    11219

    219212

    33534

    44438

    55545

    61066

    71374

    82282

    120120

    Sheet2

    Sheet3

    Sheet1

    TAZProductionsTAZAttractions

    11219

    219212

    33534

    44438

    55545

    61066

    71374

    82282

    120120

    Sheet2

    Sheet3

    Sheet1

    TAZProductionsTAZAttractions

    11219

    219212

    33534

    44438

    55545

    61066

    71374

    82282

    120120

    Sheet2

    Sheet3

    Sheet1

    TAZProductionsTAZAttractions

    11219

    219212

    33534

    44438

    55545

    61066

    71374

    82282

    120120

    Sheet2

    Sheet3

    Sheet1

    TAZProductionsTAZAttractions

    11219

    219212

    33534

    44438

    55545

    61066

    71374

    82282

    120120

    Sheet2

    Sheet3

  • Trip Generation Trip DistributionThe question is how do we allocate all the productions among all the attractions?Zone 1Trip Matrix or Trip Table

    Sheet1

    TAZProductionsTAZAttractions

    11219

    219212

    33534

    44438

    55545

    61066

    71374

    82282

    120120

    Sheet2

    Sheet3

    Sheet1

    TAZProductionsTAZAttractions

    11219

    219212

    33534

    44438

    55545

    61066

    71374

    82282

    120120

    Sheet2

    Sheet3

    Sheet1

    TAZProductionsTAZAttractionsTAZ12345678

    112191

    2192122

    335343

    444384

    555455

    610666

    713747

    822828

    120120

    TAZ12345678

    1

    2

    3

    4

    5

    6

    7

    8

    Sheet2

    Sheet3

  • Trip Distribution

  • Trip DistributionWe link production or origin zones to attraction destination zonesA trip matrix is produced

    The cells within the trip matrix are the trip interchanges between zones

  • Trip InterchangesDecrease with distance between zonesIn addition to the distance between zones, total trip cost can include things such as tolls and parking costsIncrease with zone attractivenessTypically includes square footage of retail or office space but can get much more complicated

  • Trip DistributionSimilar to Trip Generation, all the modes are still lumped together by purpose (i.e. work, shopping)This creates a problem for non-vehicular trips because distance affects these trips very differentlyAdditionally, many walking and biking trips are intra-zonal & difficult to model

  • Criteria for allocating all the productions among all the attractionsCost of tripTravel TimeActual CostsAttractivenessQuantity of OpportunityDesirability of OpportunityBasic Criteria for TD

  • How to Distribute the Trips?Growth Factor ModelsGravity Model

  • Growth Factor ModelsGrowth Factor Models assume that we already have a basic trip matrix

    Usually obtained from a previous study or recent survey data

    Sheet1

    TAZProductionsTAZAttractionsTAZ12345678

    112191550100200

    2192122505100300

    335343501005100

    44438410020025020

    555455

    610666

    713747

    822828

    120120

    TAZ12345678

    1

    2

    3

    4

    5

    6

    7

    8

    Sheet2

    Sheet3

  • Growth Factor ModelsThe goal is then to estimate the matrix at some point in the future For example, what would the trip matrix look like in 10 years time?Trip Matrix, t (2008)Trip Matrix, T (2018)

    Sheet1

    TAZProductionsTAZAttractionsTAZ12345678

    112191550100200

    2192122505100300

    335343501005100

    44438410020025020

    555455

    610666

    713747

    822828

    120120

    TAZ12345678

    1

    2

    3

    4

    5

    6

    7

    8

    Sheet2

    Sheet3

    Sheet1

    TAZProductionsTAZAttractionsTAZ12345678

    112191550100200

    2192122505100300

    335343501005100

    44438410020025020

    555455

    610666

    713747

    822828

    120120

    TAZ12345678

    1660120240

    2606120360

    3601206120

    412024030024

    5

    6

    7

    8

    TAZ12345678

    1????

    2????

    3????

    4????

    5

    6

    7

    8

    Sheet2

    TAZ123478

    1550100200355400

    2505100300455460

    3501005100255400

    410020025020570702

    20535545562016351962

    6

    7

    8

    TAZ12345678

    1660120240

    2606120360

    3601206120

    412024030024

    5

    6

    7

    8

    TAZ123478

    15.656.3112.7225.4400400

    250.55.1101.1303.3460460

    378.4156.97.8156.9400400

    4123.2246.3307.924.6702702

    257.7464.6529.5710.219621962

    6

    7

    8

    Sheet3

    TAZ123478

    1550100200355400

    2505100300455460

    3501005100255400

    410020025020570702

    20535545562016351962

    1804063807401706

    7

    8

    TAZ12345678

    1660120240

    2606120360

    3601206120

    412024030024

    5

    6

    7

    8

    TAZ123478

    15.656.3112.7225.4400400

    250.55.1101.1303.3460460

    378.4156.97.8156.9400400

    4123.2246.3307.924.6702702

    257.7464.6529.5710.219621962

    6

    7

    8

    Avg Factor

    TAZ123478

    1060100200360400

    2505100300455460

    3501005100255400

    410020025020570702

    20036545562016401962

    1804063807401706

    7

    8

    TAZ12345678

    1060120240

    2606120360

    3601206120

    412024030024

    5

    6

    7

    8

    TAZ123478

    15.656.3112.7225.4400400

    250.55.1101.1303.3460460

    378.4156.97.8156.9400400

    4123.2246.3307.924.6702702

    257.7464.6529.5710.219621962

    6

    7

    8

  • Some of the More Popular Growth Factor ModelsUniform Growth FactorSingly-Constrained Growth FactorAverage FactorDetroit FactorFratar Method

  • Uniform Growth Factor Model

  • Uniform Growth FactorTij = tij for each pair i and jTij = Future Trip Matrix tij = Base-year Trip Matrix = General Growth Rate i= I = Production Zone j= J = Attraction Zone

  • Uniform Growth FactorTrip Matrix, t (2008)Trip Matrix, T (2018)If we assume = 1.2, then Tij = tij= (1.2)(5)= 6Tij = tij for each pair i and j Tij = Future Trip Matrix tij = Base-year Trip Matrix = General Growth Rate

    Sheet1

    TAZProductionsTAZAttractionsTAZ12345678

    112191550100200

    2192122505100300

    335343501005100

    44438410020025020

    555455

    610666

    713747

    822828

    120120

    TAZ12345678

    1

    2

    3

    4

    5

    6

    7

    8

    Sheet2

    Sheet3

    Sheet1

    TAZProductionsTAZAttractionsTAZ12345678

    112191550100200

    2192122505100300

    335343501005100

    44438410020025020

    555455

    610666

    713747

    822828

    120120

    TAZ12345678

    1660120240

    2606120360

    3601206120

    412024030024

    5

    6

    7

    8

    Sheet2

    Sheet3

  • Uniform Growth FactorThe Uniform Growth Factor is typically used for 1 or 2 year horizonsHowever, assuming that trips grow at a standard uniform rate is a fundamentally flawed concept

  • Singly-Constrained Growth Factor Model

  • Singly-Constrained Growth Factor MethodSimilar to the Uniform Growth Factor Method but constrained in one directionFor example, lets start with our base matrix, tattractions, jproductions, izones

    Sheet1

    TAZProductionsTAZAttractionsTAZ12345678

    112191550100200

    2192122505100300

    335343501005100

    44438410020025020

    555455

    610666

    713747

    822828

    120120

    TAZ12345678

    1

    2

    3

    4

    5

    6

    7

    8

    Sheet2

    Sheet3

  • Singly-Constrained Growth Factor MethodInstead of one uniform growth factor, assume that we have estimated how many more or less trips will start from our origins

    Now all we have to do is multiply each row by the ratio of (Target Pi) / (j)

    Sheet1

    TAZProductionsTAZAttractionsTAZ12345678

    112191550100200

    2192122505100300

    335343501005100

    44438410020025020

    555455

    610666

    713747

    822828

    120120

    TAZ12345678

    1660120240

    2606120360

    3601206120

    412024030024

    5

    6

    7

    8

    Sheet2

    TAZ1234jTarget Pi78

    1550100200355400

    2505100300455460

    3501005100255400

    410020025020570702

    i20535545562016351962

    6

    7

    8

    TAZ12345678

    1660120240

    2606120360

    3601206120

    412024030024

    5

    6

    7

    8

    Sheet3

    Sheet1

    TAZProductionsTAZAttractionsTAZ12345678

    112191550100200

    2192122505100300

    335343501005100

    44438410020025020

    555455

    610666

    713747

    822828

    120120

    TAZ12345678

    1660120240

    2606120360

    3601206120

    412024030024

    5

    6

    7

    8

    Sheet2

    TAZ1234jTarget Oi78

    1550100200355400

    2505100300455460

    3501005100255400

    410020025020570702

    i20535545562016351962

    6

    7

    8

    TAZ12345678

    1660120240

    2606120360

    3601206120

    412024030024

    5

    6

    7

    8

    Sheet3

    Sheet1

    TAZProductionsTAZAttractionsTAZ12345678

    112191550100200

    2192122505100300

    335343501005100

    44438410020025020

    555455

    610666

    713747

    822828

    120120

    TAZ12345678

    1660120240

    2606120360

    3601206120

    412024030024

    5

    6

    7

    8

    Sheet2

    TAZ1234jTarget Oi78

    1550100200355400

    2505100300455460

    3501005100255400

    410020025020570702

    i20535545562016351962

    6

    7

    8

    TAZ12345678

    1660120240

    2606120360

    3601206120

    412024030024

    5

    6

    7

    8

    Sheet3

    Sheet1

    TAZProductionsTAZAttractionsTAZ12345678

    112191550100200

    2192122505100300

    335343501005100

    44438410020025020

    555455

    610666

    713747

    822828

    120120

    TAZ12345678

    1660120240

    2606120360

    3601206120

    412024030024

    5

    6

    7

    8

    Sheet2

    TAZ1234jTarget Oi78

    1550100200355400

    2505100300455460

    3501005100255400

    410020025020570702

    i20535545562016351962

    6

    7

    8

    TAZ12345678

    1660120240

    2606120360

    3601206120

    412024030024

    5

    6

    7

    8

    Sheet3

  • Singly-Constrained Growth Factor Method Tij = tij (Target Pi) / (j) = 5 (400 / 355)= 5.6

    Sheet1

    TAZProductionsTAZAttractionsTAZ12345678

    112191550100200

    2192122505100300

    335343501005100

    44438410020025020

    555455

    610666

    713747

    822828

    120120

    TAZ12345678

    1660120240

    2606120360

    3601206120

    412024030024

    5

    6

    7

    8

    Sheet2

    TAZ1234jTarget Pi78

    1550100200355400

    2505100300455460

    3501005100255400

    410020025020570702

    i20535545562016351962

    6

    7

    8

    TAZ12345678

    1660120240

    2606120360

    3601206120

    412024030024

    5

    6

    7

    8

    Sheet3

  • Singly-Constrained Growth Factor MethodCan also perform the singly-constrained growth factor method for a destination specific future trip tableBy multiplying each column by the ratio of (Target Aj) / (i)

    Sheet1

    TAZProductionsTAZAttractionsTAZ12345678

    112191550100200

    2192122505100300

    335343501005100

    44438410020025020

    555455

    610666

    713747

    822828

    120120

    TAZ12345678

    1660120240

    2606120360

    3601206120

    412024030024

    5

    6

    7

    8

    Sheet2

    TAZ1234jTarget Oi78

    1550100200355400

    2505100300455460

    3501005100255400

    410020025020570702

    i20535545562016351962

    6

    7

    8

    TAZ12345678

    1660120240

    2606120360

    3601206120

    412024030024

    5

    6

    7

    8

    TAZ1234jTarget Oi78

    15.656.3112.7225.4400400

    250.55.1101.1303.3460460

    378.4156.97.8156.9400400

    4123.2246.3307.924.6702702

    i257.7464.6529.5710.219621962

    6

    7

    8

    Sheet3

    TAZ1234jTarget Oi78

    1550100200355400

    2505100300455460

    3501005100255400

    410020025020570702

    i20535545562016351962

    Target Aj1804063807401706

    7

    8

    TAZ12345678

    1660120240

    2606120360

    3601206120

    412024030024

    5

    6

    7

    8

    TAZ1234jTarget Oi78

    15.656.3112.7225.4400400

    250.55.1101.1303.3460460

    378.4156.97.8156.9400400

    4123.2246.3307.924.6702702

    i257.7464.6529.5710.219621962

    6

    7

    8

  • Overview of the Singly-Constrained Growth Factor MethodologyOne of the simplest trip distribution techniquesUsed with existing trip table & future trip endsTypically, we balance flows after processingThis means that the total number of productions equals the total number of attractions (or in terms of origins & destinations)Tij = TjiBut there are more advanced growth factor models

  • Average Growth Factor Model

  • Average Growth Factor Function F = Growth Factor =Ratio of Target Trips toPrevious Iteration Trips k =Iteration Numberg ( )=Fik FjkF.kg ( )=Fik + Fjk2

  • The Basic StepsCollect InputsMatrix of Existing Trips, {tij}Vector of Future Trips Ends, {Ti}Compute Growth Factor for each zone

    Compute Inter-zonal Flows

    Compute Trips Ends

    If tik = Ti for each zone i, then stop otherwise, go back to Step 1>Fik=Titik-1=Target Trip EndPrevious Iteration Trip End>tijk = tijk-1 [g(Fik, Fjk, )] for each ij pairtik = tijk for each zone i

  • Growth Factor Models: Average Factor Example

    SC Growth Model HW

    Singly-constrained by Originating

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    3783867601061

    1234

    10793637541196

    25804765141047

    3203101078381

    42893741060768

    550553.5944.351345.15

    Singly-constrained by Destined

    1234T(i)0T(i)^

    10602755719061200

    25004104439031050

    312361047231380

    4205265750545770

    T(i)03783867601061

    T(i)^670730950995

    F(i)1 = T(i)^ / T(i)01.771.891.250.94

    1234

    10113344537994

    28905134161017

    3218115044377

    4363501940957

    669730950997

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    Average Factors HW

    Observed Trips Tij(0)

    1234Ti(0)Ti^Fi(1) = Ti^ / Ti(0)

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    Tj(0)3783867601061

    Tj^670730950995

    Fj(1) = Tj^ / Tj(0)1.771.891.250.94

    Iteration 1: Fij(1) = [Fi(1) + Fj(1)] / 2

    1234

    11.5461.6061.2851.129

    21.4661.5261.2051.049

    31.7111.7711.4501.294

    41.5911.6511.3301.174

    tij(1) = tij(0) * Fij(1)

    1234ti(1)TiFi(2) = Ti / ti(1)

    10.0096.34353.38644.60109412001.10

    273.310.00494.05464.66103210501.02

    3210.48108.010.0060.813793801.00

    4326.20437.4199.750.008637700.89

    tj(1)6106429471170

    Tj670730950995

    Fj(2) = Tj / tj(1)1.101.141.000.85

    Iteration 2: Fij(2) = [Fi(2) + Fj(2)] / 2

    1234

    11.0991.1191.0510.975

    21.0591.0791.0110.935

    31.0491.0691.0010.925

    40.9941.0140.9460.870

    Tij(2) = Tij(1) * Fij(2)

    1234Ti(2)Ti^Fi(3) = Ti^ / Ti(2)

    10.00107.78371.57628.61110812001.08

    277.650.00499.73434.55101210501.04

    3220.83115.430.0056.263933800.97

    4324.31443.4394.410.008627700.89

    Tj(2)6236679661119

    Tj^670730950995

    Fj(2) = Tj^ / Tj(1)1.081.100.980.89

    Iteration 3: Fij(3) = [Fi(3) + Fj(3)] / 2

    1234

    11.0781.0881.0320.984

    21.0581.0681.0120.964

    31.0231.0330.9770.929

    40.9830.9930.9370.889

    Tij(3) = Tij(2) * Fij(3)

    1234Ti(3)Ti^Fi(4) = Ti^ / Ti(3)

    10.00117.21383.41618.82111912001.07

    282.150.00505.66419.09100710501.04

    3225.89119.190.0052.293973800.96

    4318.76440.1188.450.008477700.91

    Tj(3)6276779781090

    Tj^670730950995

    Fj(4) = Tj^ / Tj(3)1.071.080.970.91

    Iteration 4: Fij(4) = [Fi(4) + Fj(4)] / 2

    1234

    11.0691.0751.0210.991

    21.0541.0601.0060.976

    31.0141.0200.9660.936

    40.9890.9950.9410.911

    Tij(4) = Tij(3) * Fij(4)

    1234Ti(4)Ti^Fi(5) = Ti^ / Ti(4)

    10.00125.95391.43613.46113112001.06

    286.620.00508.65409.17100410501.05

    3229.16121.520.0048.964003800.95

    4315.40437.7183.230.008367700.92

    Tj(4)6316859831072

    Tj^670730950995

    Fj(5) = Tj^ / Tj(4)1.061.070.970.93

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    DETROIT FACTORS HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    10251020551152.09

    225060301151501.30

    31060015851351.59

    4203015065951.46

    sum =3204951.55= F(.)1

    Iteration 1: F(ij)1 = [F(i)1 * F(j)1] / F(.)1

    1234

    12.8181.7532.1441.969

    21.7531.0901.3341.225

    32.1441.3341.6311.498

    41.9691.2251.4981.375

    T(ij)1 = T(ij)0 * F(ij)1

    1234T(i)1T(i)^F(i)2 = T(i)^ / T(i)1

    104421391051151.10

    244080371611500.93

    321800221241351.09

    4393722099950.96

    sum =4884951.01= F(.)2

    Iteration 2: F(ij)2 = [F(i)2 * F(j)2] / F(.)2

    1234

    11.1981.0131.1871.046

    21.0130.8561.0040.884

    31.1871.0041.1761.036

    41.0460.8841.0360.912

    T(ij)2 = T(ij)1 * F(ij)2

    1234T(i)2T(i)^F(i)3 = T(i)^ / T(i)2

    104425411111151.04

    244080321571500.95

    325800231291351.05

    4413223097950.98

    sum =4944951.00= F(.)3

    Iteration 3: F(ij)3 = [F(i)3 * F(j)3] / F(.)3

    1234

    11.0820.9881.0921.019

    20.9880.9030.9980.931

    31.0920.9981.1031.029

    41.0190.9311.0290.960

    T(ij)3 = T(ij)2 * F(ij)3

    1234T(i)3T(i)^F(i)4 = T(i)^ / T(i)3

    104428421141151.01

    244080301541500.97

    328800241321351.02

    4423024096950.99

    sum =4964951.00= F(.)4

    Iteration 4: F(ij)4 = [F(i)4 * F(j)4] / F(.)4

    1234

    11.0200.9801.0301.000

    20.9800.9410.9890.960

    31.0300.9891.0401.010

    41.0000.9601.0100.980

    T(ij)4 = T(ij)3 * F(ij)4

    1234T(i)4T(i)^F(i)5 = T(i)^ / T(i)4

    104329421141151.01

    243079291511500.99

    329790241321351.02

    4422924095951.00

    sum =492495

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    FRATAR METHOD HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1Sum(z) T(iz)0 F(z)1

    10251020551152.0978

    225060301151501.30191

    31060015851351.59121

    4203015065951.46105

    Iteration 1: t(ij)1 = T(ij)0 T(i)^ F(j)1 / Sum(z) {T(iz)0 F(z)1]

    1234

    10482443

    24107534

    32387024

    43835220

    T(ij)1 = [t(ij)1 + t(ji)1] / 2

    1234T(i)1T(i)^F(i)2Sum(z) T(iz)1 F(z)2

    104523411091151.06106

    245081351601500.94167

    323810231271351.06123

    4413523099950.96100

    Iteration 2: t(ij)2 = T(ij)1 T(i)^ F(j)2 / Sum(z) {T(iz)1 F(z)2]

    1234

    10462742

    24307730

    32783024

    44131230

    T(ij)2 = [t(ij)2 + t(ji)2] / 2

    1234T(i)2T(i)^F(i)3Sum(z) T(iz)2 F(z)3

    104427421131151.02112

    244080311551500.97158

    327800241311351.03129

    4423124096950.9997

    Iteration 3: t(ij)3 = T(ij)2 T(i)^ F(j)3 / Sum(z) {T(iz)2 F(z)3]

    1234

    10442942

    24307929

    32981025

    44229240

    T(ij)3 = [t(ij)3 + t(ji)3] / 2

    1234T(i)3T(i)^F(i)4

    104329421141151.01

    243080291521500.98

    329800241331351.01

    4422924095951.00

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    SC Growth Model HW

    Singly-constrained by Originating

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    3783867601061

    1234

    10793637541196

    25804765141047

    3203101078381

    42893741060768

    550553.5944.351345.15

    Singly-constrained by Destined

    1234T(i)0T(i)^

    10602755719061200

    25004104439031050

    312361047231380

    4205265750545770

    T(i)03783867601061

    T(i)^670730950995

    F(i)1 = T(i)^ / T(i)01.771.891.250.94

    1234

    10113344537994

    28905134161017

    3218115044377

    4363501940957

    669730950997

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    Average Factors HW

    Observed Trips Tij(0)

    1234Ti(0)Ti^Fi(1) = Ti^ / Ti(0)

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    Tj(0)3783867601061

    Tj^670730950995

    Fj(1) = Tj^ / Tj(0)1.771.891.250.94

    Iteration 1: Fij(1) = [Fi(1) + Fj(1)] / 2

    1234

    11.5461.6061.2851.129

    21.4661.5261.2051.049

    31.7111.7711.4501.294

    41.5911.6511.3301.174

    tij(1) = tij(0) * Fij(1)

    1234ti(1)TiFi(2) = Ti / ti(1)

    10.0096.34353.38644.60109412001.10

    273.310.00494.05464.66103210501.02

    3210.48108.010.0060.813793801.00

    4326.20437.4199.750.008637700.89

    tj(1)6106429471170

    Tj670730950995

    Fj(2) = Tj / tj(1)1.101.141.000.85

    Iteration 2: Fij(2) = [Fi(2) + Fj(2)] / 2

    1234

    11.0991.1191.0510.975

    21.0591.0791.0110.935

    31.0491.0691.0010.925

    40.9941.0140.9460.870

    Tij(2) = Tij(1) * Fij(2)

    1234Ti(2)Ti^Fi(3) = Ti^ / Ti(2)

    10.00107.78371.57628.61110812001.08

    277.650.00499.73434.55101210501.04

    3220.83115.430.0056.263933800.97

    4324.31443.4394.410.008627700.89

    Tj(2)6236679661119

    Tj^670730950995

    Fj(2) = Tj^ / Tj(1)1.081.100.980.89

    Iteration 3: Fij(3) = [Fi(3) + Fj(3)] / 2

    1234

    11.0781.0881.0320.984

    21.0581.0681.0120.964

    31.0231.0330.9770.929

    40.9830.9930.9370.889

    Tij(3) = Tij(2) * Fij(3)

    1234Ti(3)Ti^Fi(4) = Ti^ / Ti(3)

    10.00117.21383.41618.82111912001.07

    282.150.00505.66419.09100710501.04

    3225.89119.190.0052.293973800.96

    4318.76440.1188.450.008477700.91

    Tj(3)6276779781090

    Tj^670730950995

    Fj(4) = Tj^ / Tj(3)1.071.080.970.91

    Iteration 4: Fij(4) = [Fi(4) + Fj(4)] / 2

    1234

    11.0691.0751.0210.991

    21.0541.0601.0060.976

    31.0141.0200.9660.936

    40.9890.9950.9410.911

    Tij(4) = Tij(3) * Fij(4)

    1234Ti(4)Ti^Fi(5) = Ti^ / Ti(4)

    10.00125.95391.43613.46113112001.06

    286.620.00508.65409.17100410501.05

    3229.16121.520.0048.964003800.95

    4315.40437.7183.230.008367700.92

    Tj(4)6316859831072

    Tj^670730950995

    Fj(5) = Tj^ / Tj(4)1.061.070.970.93

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    DETROIT FACTORS HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    10251020551152.09

    225060301151501.30

    31060015851351.59

    4203015065951.46

    sum =3204951.55= F(.)1

    Iteration 1: F(ij)1 = [F(i)1 * F(j)1] / F(.)1

    1234

    12.8181.7532.1441.969

    21.7531.0901.3341.225

    32.1441.3341.6311.498

    41.9691.2251.4981.375

    T(ij)1 = T(ij)0 * F(ij)1

    1234T(i)1T(i)^F(i)2 = T(i)^ / T(i)1

    104421391051151.10

    244080371611500.93

    321800221241351.09

    4393722099950.96

    sum =4884951.01= F(.)2

    Iteration 2: F(ij)2 = [F(i)2 * F(j)2] / F(.)2

    1234

    11.1981.0131.1871.046

    21.0130.8561.0040.884

    31.1871.0041.1761.036

    41.0460.8841.0360.912

    T(ij)2 = T(ij)1 * F(ij)2

    1234T(i)2T(i)^F(i)3 = T(i)^ / T(i)2

    104425411111151.04

    244080321571500.95

    325800231291351.05

    4413223097950.98

    sum =4944951.00= F(.)3

    Iteration 3: F(ij)3 = [F(i)3 * F(j)3] / F(.)3

    1234

    11.0820.9881.0921.019

    20.9880.9030.9980.931

    31.0920.9981.1031.029

    41.0190.9311.0290.960

    T(ij)3 = T(ij)2 * F(ij)3

    1234T(i)3T(i)^F(i)4 = T(i)^ / T(i)3

    104428421141151.01

    244080301541500.97

    328800241321351.02

    4423024096950.99

    sum =4964951.00= F(.)4

    Iteration 4: F(ij)4 = [F(i)4 * F(j)4] / F(.)4

    1234

    11.0200.9801.0301.000

    20.9800.9410.9890.960

    31.0300.9891.0401.010

    41.0000.9601.0100.980

    T(ij)4 = T(ij)3 * F(ij)4

    1234T(i)4T(i)^F(i)5 = T(i)^ / T(i)4

    104329421141151.01

    243079291511500.99

    329790241321351.02

    4422924095951.00

    sum =492495

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    FRATAR METHOD HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1Sum(z) T(iz)0 F(z)1

    10251020551152.0978

    225060301151501.30191

    31060015851351.59121

    4203015065951.46105

    Iteration 1: t(ij)1 = T(ij)0 T(i)^ F(j)1 / Sum(z) {T(iz)0 F(z)1]

    1234

    10482443

    24107534

    32387024

    43835220

    T(ij)1 = [t(ij)1 + t(ji)1] / 2

    1234T(i)1T(i)^F(i)2Sum(z) T(iz)1 F(z)2

    104523411091151.06106

    245081351601500.94167

    323810231271351.06123

    4413523099950.96100

    Iteration 2: t(ij)2 = T(ij)1 T(i)^ F(j)2 / Sum(z) {T(iz)1 F(z)2]

    1234

    10462742

    24307730

    32783024

    44131230

    T(ij)2 = [t(ij)2 + t(ji)2] / 2

    1234T(i)2T(i)^F(i)3Sum(z) T(iz)2 F(z)3

    104427421131151.02112

    244080311551500.97158

    327800241311351.03129

    4423124096950.9997

    Iteration 3: t(ij)3 = T(ij)2 T(i)^ F(j)3 / Sum(z) {T(iz)2 F(z)3]

    1234

    10442942

    24307929

    32981025

    44229240

    T(ij)3 = [t(ij)3 + t(ji)3] / 2

    1234T(i)3T(i)^F(i)4

    104329421141151.01

    243080291521500.98

    329800241331351.01

    4422924095951.00

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    SC Growth Model HW

    Singly-constrained by Originating

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    3783867601061

    1234

    10793637541196

    25804765141047

    3203101078381

    42893741060768

    550553.5944.351345.15

    Singly-constrained by Destined

    1234T(i)0T(i)^

    10602755719061200

    25004104439031050

    312361047231380

    4205265750545770

    T(i)03783867601061

    T(i)^670730950995

    F(i)1 = T(i)^ / T(i)01.771.891.250.94

    1234

    10113344537994

    28905134161017

    3218115044377

    4363501940957

    669730950997

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    Average Factors HW

    Observed Trips Tij(0)

    1234Ti(0)Ti^Fi(1) = Ti^ / Ti(0)

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    Tj(0)3783867601061

    Tj^670730950995

    Fj(1) = Tj^ / Tj(0)1.771.891.250.94

    Iteration 1: Fij(1) = [Fi(1) + Fj(1)] / 2

    1234

    11.5461.6061.2851.129

    21.4661.5261.2051.049

    31.7111.7711.4501.294

    41.5911.6511.3301.174

    Tij(1) = Tij(0) * Fij(1)

    1234ti(1)TiFi(2) = Ti / ti(1)

    10.0096.34353.38644.60109412001.10

    273.310.00494.05464.66103210501.02

    3210.48108.010.0060.813793801.00

    4326.20437.4199.750.008637700.89

    tj(1)6106429471170

    Tj670730950995

    Fj(2) = Tj / tj(1)1.101.141.000.85

    Iteration 2: Fij(2) = [Fi(2) + Fj(2)] / 2

    1234

    11.0991.1191.0510.975

    21.0591.0791.0110.935

    31.0491.0691.0010.925

    40.9941.0140.9460.870

    Tij(2) = Tij(1) * Fij(2)

    1234Ti(2)Ti^Fi(3) = Ti^ / Ti(2)

    10.00107.78371.57628.61110812001.08

    277.650.00499.73434.55101210501.04

    3220.83115.430.0056.263933800.97

    4324.31443.4394.410.008627700.89

    Tj(2)6236679661119

    Tj^670730950995

    Fj(2) = Tj^ / Tj(1)1.081.100.980.89

    Iteration 3: Fij(3) = [Fi(3) + Fj(3)] / 2

    1234

    11.0781.0881.0320.984

    21.0581.0681.0120.964

    31.0231.0330.9770.929

    40.9830.9930.9370.889

    Tij(3) = Tij(2) * Fij(3)

    1234Ti(3)Ti^Fi(4) = Ti^ / Ti(3)

    10.00117.21383.41618.82111912001.07

    282.150.00505.66419.09100710501.04

    3225.89119.190.0052.293973800.96

    4318.76440.1188.450.008477700.91

    Tj(3)6276779781090

    Tj^670730950995

    Fj(4) = Tj^ / Tj(3)1.071.080.970.91

    Iteration 4: Fij(4) = [Fi(4) + Fj(4)] / 2

    1234

    11.0691.0751.0210.991

    21.0541.0601.0060.976

    31.0141.0200.9660.936

    40.9890.9950.9410.911

    Tij(4) = Tij(3) * Fij(4)

    1234Ti(4)Ti^Fi(5) = Ti^ / Ti(4)

    10.00125.95391.43613.46113112001.06

    286.620.00508.65409.17100410501.05

    3229.16121.520.0048.964003800.95

    4315.40437.7183.230.008367700.92

    Tj(4)6316859831072

    Tj^670730950995

    Fj(5) = Tj^ / Tj(4)1.061.070.970.93

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    DETROIT FACTORS HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    10251020551152.09

    225060301151501.30

    31060015851351.59

    4203015065951.46

    sum =3204951.55= F(.)1

    Iteration 1: F(ij)1 = [F(i)1 * F(j)1] / F(.)1

    1234

    12.8181.7532.1441.969

    21.7531.0901.3341.225

    32.1441.3341.6311.498

    41.9691.2251.4981.375

    T(ij)1 = T(ij)0 * F(ij)1

    1234T(i)1T(i)^F(i)2 = T(i)^ / T(i)1

    104421391051151.10

    244080371611500.93

    321800221241351.09

    4393722099950.96

    sum =4884951.01= F(.)2

    Iteration 2: F(ij)2 = [F(i)2 * F(j)2] / F(.)2

    1234

    11.1981.0131.1871.046

    21.0130.8561.0040.884

    31.1871.0041.1761.036

    41.0460.8841.0360.912

    T(ij)2 = T(ij)1 * F(ij)2

    1234T(i)2T(i)^F(i)3 = T(i)^ / T(i)2

    104425411111151.04

    244080321571500.95

    325800231291351.05

    4413223097950.98

    sum =4944951.00= F(.)3

    Iteration 3: F(ij)3 = [F(i)3 * F(j)3] / F(.)3

    1234

    11.0820.9881.0921.019

    20.9880.9030.9980.931

    31.0920.9981.1031.029

    41.0190.9311.0290.960

    T(ij)3 = T(ij)2 * F(ij)3

    1234T(i)3T(i)^F(i)4 = T(i)^ / T(i)3

    104428421141151.01

    244080301541500.97

    328800241321351.02

    4423024096950.99

    sum =4964951.00= F(.)4

    Iteration 4: F(ij)4 = [F(i)4 * F(j)4] / F(.)4

    1234

    11.0200.9801.0301.000

    20.9800.9410.9890.960

    31.0300.9891.0401.010

    41.0000.9601.0100.980

    T(ij)4 = T(ij)3 * F(ij)4

    1234T(i)4T(i)^F(i)5 = T(i)^ / T(i)4

    104329421141151.01

    243079291511500.99

    329790241321351.02

    4422924095951.00

    sum =492495

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    FRATAR METHOD HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1Sum(z) T(iz)0 F(z)1

    10251020551152.0978

    225060301151501.30191

    31060015851351.59121

    4203015065951.46105

    Iteration 1: t(ij)1 = T(ij)0 T(i)^ F(j)1 / Sum(z) {T(iz)0 F(z)1]

    1234

    10482443

    24107534

    32387024

    43835220

    T(ij)1 = [t(ij)1 + t(ji)1] / 2

    1234T(i)1T(i)^F(i)2Sum(z) T(iz)1 F(z)2

    104523411091151.06106

    245081351601500.94167

    323810231271351.06123

    4413523099950.96100

    Iteration 2: t(ij)2 = T(ij)1 T(i)^ F(j)2 / Sum(z) {T(iz)1 F(z)2]

    1234

    10462742

    24307730

    32783024

    44131230

    T(ij)2 = [t(ij)2 + t(ji)2] / 2

    1234T(i)2T(i)^F(i)3Sum(z) T(iz)2 F(z)3

    104427421131151.02112

    244080311551500.97158

    327800241311351.03129

    4423124096950.9997

    Iteration 3: t(ij)3 = T(ij)2 T(i)^ F(j)3 / Sum(z) {T(iz)2 F(z)3]

    1234

    10442942

    24307929

    32981025

    44229240

    T(ij)3 = [t(ij)3 + t(ji)3] / 2

    1234T(i)3T(i)^F(i)4

    104329421141151.01

    243080291521500.98

    329800241331351.01

    4422924095951.00

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    SC Growth Model HW

    Singly-constrained by Originating

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    3783867601061

    1234

    10793637541196

    25804765141047

    3203101078381

    42893741060768

    550553.5944.351345.15

    Singly-constrained by Destined

    1234T(i)0T(i)^

    10602755719061200

    25004104439031050

    312361047231380

    4205265750545770

    T(i)03783867601061

    T(i)^670730950995

    F(i)1 = T(i)^ / T(i)01.771.891.250.94

    1234

    10113344537994

    28905134161017

    3218115044377

    4363501940957

    669730950997

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    Average Factors HW

    Observed Trips Tij(0)

    1234Ti(0)Ti^Fi(1) = Ti^ / Ti(0)

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    Tj(0)3783867601061

    Tj^670730950995

    Fj(1) = Tj^ / Tj(0)1.771.891.250.94

    Iteration 1: Fij(1) = [Fi(1) + Fj(1)] / 2

    1234

    11.5461.6061.2851.129

    21.4661.5261.2051.049

    31.7111.7711.4501.294

    41.5911.6511.3301.174

    tij(1) = tij(0) * Fij(1)

    1234ti(1)TiFi(2) = Ti / ti(1)

    10.0096.34353.38644.60109412001.10

    273.310.00494.05464.66103210501.02

    3210.48108.010.0060.813793801.00

    4326.20437.4199.750.008637700.89

    tj(1)6106429471170

    Tj670730950995

    Fj(2) = Tj / tj(1)1.101.141.000.85

    Iteration 2: Fij(2) = [Fi(2) + Fj(2)] / 2

    1234

    11.0991.1191.0510.975

    21.0591.0791.0110.935

    31.0491.0691.0010.925

    40.9941.0140.9460.870

    Tij(2) = Tij(1) * Fij(2)

    1234Ti(2)Ti^Fi(3) = Ti^ / Ti(2)

    10.00107.78371.57628.61110812001.08

    277.650.00499.73434.55101210501.04

    3220.83115.430.0056.263933800.97

    4324.31443.4394.410.008627700.89

    Tj(2)6236679661119

    Tj^670730950995

    Fj(2) = Tj^ / Tj(1)1.081.100.980.89

    Iteration 3: Fij(3) = [Fi(3) + Fj(3)] / 2

    1234

    11.0781.0881.0320.984

    21.0581.0681.0120.964

    31.0231.0330.9770.929

    40.9830.9930.9370.889

    Tij(3) = Tij(2) * Fij(3)

    1234Ti(3)Ti^Fi(4) = Ti^ / Ti(3)

    10.00117.21383.41618.82111912001.07

    282.150.00505.66419.09100710501.04

    3225.89119.190.0052.293973800.96

    4318.76440.1188.450.008477700.91

    Tj(3)6276779781090

    Tj^670730950995

    Fj(4) = Tj^ / Tj(3)1.071.080.970.91

    Iteration 4: Fij(4) = [Fi(4) + Fj(4)] / 2

    1234

    11.0691.0751.0210.991

    21.0541.0601.0060.976

    31.0141.0200.9660.936

    40.9890.9950.9410.911

    Tij(4) = Tij(3) * Fij(4)

    1234Ti(4)Ti^Fi(5) = Ti^ / Ti(4)

    10.00125.95391.43613.46113112001.06

    286.620.00508.65409.17100410501.05

    3229.16121.520.0048.964003800.95

    4315.40437.7183.230.008367700.92

    Tj(4)6316859831072

    Tj^670730950995

    Fj(5) = Tj^ / Tj(4)1.061.070.970.93

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    DETROIT FACTORS HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    10251020551152.09

    225060301151501.30

    31060015851351.59

    4203015065951.46

    sum =3204951.55= F(.)1

    Iteration 1: F(ij)1 = [F(i)1 * F(j)1] / F(.)1

    1234

    12.8181.7532.1441.969

    21.7531.0901.3341.225

    32.1441.3341.6311.498

    41.9691.2251.4981.375

    T(ij)1 = T(ij)0 * F(ij)1

    1234T(i)1T(i)^F(i)2 = T(i)^ / T(i)1

    104421391051151.10

    244080371611500.93

    321800221241351.09

    4393722099950.96

    sum =4884951.01= F(.)2

    Iteration 2: F(ij)2 = [F(i)2 * F(j)2] / F(.)2

    1234

    11.1981.0131.1871.046

    21.0130.8561.0040.884

    31.1871.0041.1761.036

    41.0460.8841.0360.912

    T(ij)2 = T(ij)1 * F(ij)2

    1234T(i)2T(i)^F(i)3 = T(i)^ / T(i)2

    104425411111151.04

    244080321571500.95

    325800231291351.05

    4413223097950.98

    sum =4944951.00= F(.)3

    Iteration 3: F(ij)3 = [F(i)3 * F(j)3] / F(.)3

    1234

    11.0820.9881.0921.019

    20.9880.9030.9980.931

    31.0920.9981.1031.029

    41.0190.9311.0290.960

    T(ij)3 = T(ij)2 * F(ij)3

    1234T(i)3T(i)^F(i)4 = T(i)^ / T(i)3

    104428421141151.01

    244080301541500.97

    328800241321351.02

    4423024096950.99

    sum =4964951.00= F(.)4

    Iteration 4: F(ij)4 = [F(i)4 * F(j)4] / F(.)4

    1234

    11.0200.9801.0301.000

    20.9800.9410.9890.960

    31.0300.9891.0401.010

    41.0000.9601.0100.980

    T(ij)4 = T(ij)3 * F(ij)4

    1234T(i)4T(i)^F(i)5 = T(i)^ / T(i)4

    104329421141151.01

    243079291511500.99

    329790241321351.02

    4422924095951.00

    sum =492495

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    FRATAR METHOD HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1Sum(z) T(iz)0 F(z)1

    10251020551152.0978

    225060301151501.30191

    31060015851351.59121

    4203015065951.46105

    Iteration 1: t(ij)1 = T(ij)0 T(i)^ F(j)1 / Sum(z) {T(iz)0 F(z)1]

    1234

    10482443

    24107534

    32387024

    43835220

    T(ij)1 = [t(ij)1 + t(ji)1] / 2

    1234T(i)1T(i)^F(i)2Sum(z) T(iz)1 F(z)2

    104523411091151.06106

    245081351601500.94167

    323810231271351.06123

    4413523099950.96100

    Iteration 2: t(ij)2 = T(ij)1 T(i)^ F(j)2 / Sum(z) {T(iz)1 F(z)2]

    1234

    10462742

    24307730

    32783024

    44131230

    T(ij)2 = [t(ij)2 + t(ji)2] / 2

    1234T(i)2T(i)^F(i)3Sum(z) T(iz)2 F(z)3

    104427421131151.02112

    244080311551500.97158

    327800241311351.03129

    4423124096950.9997

    Iteration 3: t(ij)3 = T(ij)2 T(i)^ F(j)3 / Sum(z) {T(iz)2 F(z)3]

    1234

    10442942

    24307929

    32981025

    44229240

    T(ij)3 = [t(ij)3 + t(ji)3] / 2

    1234T(i)3T(i)^F(i)4

    104329421141151.01

    243080291521500.98

    329800241331351.01

    4422924095951.00

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    SC Growth Model HW

    Singly-constrained by Originating

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    3783867601061

    1234

    10793637541196

    25804765141047

    3203101078381

    42893741060768

    550553.5944.351345.15

    Singly-constrained by Destined

    1234T(i)0T(i)^

    10602755719061200

    25004104439031050

    312361047231380

    4205265750545770

    T(i)03783867601061

    T(i)^670730950995

    F(i)1 = T(i)^ / T(i)01.771.891.250.94

    1234

    10113344537994

    28905134161017

    3218115044377

    4363501940957

    669730950997

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    Average Factors HW

    Observed Trips Tij(0)

    1234Ti(0)Ti^Fi(1) = Ti^ / Ti(0)

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    Tj(0)3783867601061

    Tj^670730950995

    Fj(1) = Tj^ / Tj(0)1.771.891.250.94

    Iteration 1: Fij(1) = [Fi(1) + Fj(1)] / 2

    1234

    11.5461.6061.2851.129

    21.4661.5261.2051.049

    31.7111.7711.4501.294

    41.5911.6511.3301.174

    tij(1) = tij(0) * Fij(1)

    1234ti(1)TiFi(2) = Ti / ti(1)

    10.0096.34353.38644.60109412001.10

    273.310.00494.05464.66103210501.02

    3210.48108.010.0060.813793801.00

    4326.20437.4199.750.008637700.89

    tj(1)6106429471170

    Tj670730950995

    Fj(2) = Tj / tj(1)1.101.141.000.85

    Iteration 2: Fij(2) = [Fi(2) + Fj(2)] / 2

    1234

    11.0991.1191.0510.975

    21.0591.0791.0110.935

    31.0491.0691.0010.925

    40.9941.0140.9460.870

    Tij(2) = Tij(1) * Fij(2)

    1234Ti(2)Ti^Fi(3) = Ti^ / Ti(2)

    10.00107.78371.57628.61110812001.08

    277.650.00499.73434.55101210501.04

    3220.83115.430.0056.263933800.97

    4324.31443.4394.410.008627700.89

    Tj(2)6236679661119

    Tj^670730950995

    Fj(2) = Tj^ / Tj(1)1.081.100.980.89

    Iteration 3: Fij(3) = [Fi(3) + Fj(3)] / 2

    1234

    11.0781.0881.0320.984

    21.0581.0681.0120.964

    31.0231.0330.9770.929

    40.9830.9930.9370.889

    Tij(3) = Tij(2) * Fij(3)

    1234Ti(3)Ti^Fi(4) = Ti^ / Ti(3)

    10.00117.21383.41618.82111912001.07

    282.150.00505.66419.09100710501.04

    3225.89119.190.0052.293973800.96

    4318.76440.1188.450.008477700.91

    Tj(3)6276779781090

    Tj^670730950995

    Fj(4) = Tj^ / Tj(3)1.071.080.970.91

    Iteration 4: Fij(4) = [Fi(4) + Fj(4)] / 2

    1234

    11.0691.0751.0210.991

    21.0541.0601.0060.976

    31.0141.0200.9660.936

    40.9890.9950.9410.911

    Tij(4) = Tij(3) * Fij(4)

    1234Ti(4)Ti^Fi(5) = Ti^ / Ti(4)

    10.00125.95391.43613.46113112001.06

    286.620.00508.65409.17100410501.05

    3229.16121.520.0048.964003800.95

    4315.40437.7183.230.008367700.92

    Tj(4)6316859831072

    Tj^670730950995

    Fj(5) = Tj^ / Tj(4)1.061.070.970.93

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    DETROIT FACTORS HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    10251020551152.09

    225060301151501.30

    31060015851351.59

    4203015065951.46

    sum =3204951.55= F(.)1

    Iteration 1: F(ij)1 = [F(i)1 * F(j)1] / F(.)1

    1234

    12.8181.7532.1441.969

    21.7531.0901.3341.225

    32.1441.3341.6311.498

    41.9691.2251.4981.375

    T(ij)1 = T(ij)0 * F(ij)1

    1234T(i)1T(i)^F(i)2 = T(i)^ / T(i)1

    104421391051151.10

    244080371611500.93

    321800221241351.09

    4393722099950.96

    sum =4884951.01= F(.)2

    Iteration 2: F(ij)2 = [F(i)2 * F(j)2] / F(.)2

    1234

    11.1981.0131.1871.046

    21.0130.8561.0040.884

    31.1871.0041.1761.036

    41.0460.8841.0360.912

    T(ij)2 = T(ij)1 * F(ij)2

    1234T(i)2T(i)^F(i)3 = T(i)^ / T(i)2

    104425411111151.04

    244080321571500.95

    325800231291351.05

    4413223097950.98

    sum =4944951.00= F(.)3

    Iteration 3: F(ij)3 = [F(i)3 * F(j)3] / F(.)3

    1234

    11.0820.9881.0921.019

    20.9880.9030.9980.931

    31.0920.9981.1031.029

    41.0190.9311.0290.960

    T(ij)3 = T(ij)2 * F(ij)3

    1234T(i)3T(i)^F(i)4 = T(i)^ / T(i)3

    104428421141151.01

    244080301541500.97

    328800241321351.02

    4423024096950.99

    sum =4964951.00= F(.)4

    Iteration 4: F(ij)4 = [F(i)4 * F(j)4] / F(.)4

    1234

    11.0200.9801.0301.000

    20.9800.9410.9890.960

    31.0300.9891.0401.010

    41.0000.9601.0100.980

    T(ij)4 = T(ij)3 * F(ij)4

    1234T(i)4T(i)^F(i)5 = T(i)^ / T(i)4

    104329421141151.01

    243079291511500.99

    329790241321351.02

    4422924095951.00

    sum =492495

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    FRATAR METHOD HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1Sum(z) T(iz)0 F(z)1

    10251020551152.0978

    225060301151501.30191

    31060015851351.59121

    4203015065951.46105

    Iteration 1: t(ij)1 = T(ij)0 T(i)^ F(j)1 / Sum(z) {T(iz)0 F(z)1]

    1234

    10482443

    24107534

    32387024

    43835220

    T(ij)1 = [t(ij)1 + t(ji)1] / 2

    1234T(i)1T(i)^F(i)2Sum(z) T(iz)1 F(z)2

    104523411091151.06106

    245081351601500.94167

    323810231271351.06123

    4413523099950.96100

    Iteration 2: t(ij)2 = T(ij)1 T(i)^ F(j)2 / Sum(z) {T(iz)1 F(z)2]

    1234

    10462742

    24307730

    32783024

    44131230

    T(ij)2 = [t(ij)2 + t(ji)2] / 2

    1234T(i)2T(i)^F(i)3Sum(z) T(iz)2 F(z)3

    104427421131151.02112

    244080311551500.97158

    327800241311351.03129

    4423124096950.9997

    Iteration 3: t(ij)3 = T(ij)2 T(i)^ F(j)3 / Sum(z) {T(iz)2 F(z)3]

    1234

    10442942

    24307929

    32981025

    44229240

    T(ij)3 = [t(ij)3 + t(ji)3] / 2

    1234T(i)3T(i)^F(i)4

    104329421141151.01

    243080291521500.98

    329800241331351.01

    4422924095951.00

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    SC Growth Model HW

    Singly-constrained by Originating

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    3783867601061

    1234

    10793637541196

    25804765141047

    3203101078381

    42893741060768

    550553.5944.351345.15

    Singly-constrained by Destined

    1234T(i)0T(i)^

    10602755719061200

    25004104439031050

    312361047231380

    4205265750545770

    T(i)03783867601061

    T(i)^670730950995

    F(i)1 = T(i)^ / T(i)01.771.891.250.94

    1234

    10113344537994

    28905134161017

    3218115044377

    4363501940957

    669730950997

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    Average Factors HW

    Observed Trips Tij(0)

    1234Ti(0)Ti^Fi(1) = Ti^ / Ti(0)

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    Tj(0)3783867601061

    Tj^670730950995

    Fj(1) = Tj^ / Tj(0)1.771.891.250.94

    Iteration 1: Fij(1) = [Fi(1) + Fj(1)] / 2

    1234

    11.5461.6061.2851.129

    21.4661.5261.2051.049

    31.7111.7711.4501.294

    41.5911.6511.3301.174

    tij(1) = tij(0) * Fij(1)

    1234ti(1)TiFi(2) = Ti^ / Ti(1)

    10.0096.34353.38644.60109412001.10

    273.310.00494.05464.66103210501.02

    3210.48108.010.0060.813793801.00

    4326.20437.4199.750.008637700.89

    tj(1)6106429471170

    Tj670730950995

    Fj(2) = Tj / tj(1)1.101.141.000.85

    Iteration 2: Fij(2) = [Fi(2) + Fj(2)] / 2

    1234

    11.0991.1191.0510.975

    21.0591.0791.0110.935

    31.0491.0691.0010.925

    40.9941.0140.9460.870

    Tij(2) = Tij(1) * Fij(2)

    1234Ti(2)Ti^Fi(3) = Ti^ / Ti(2)

    10.00107.78371.57628.61110812001.08

    277.650.00499.73434.55101210501.04

    3220.83115.430.0056.263933800.97

    4324.31443.4394.410.008627700.89

    Tj(2)6236679661119

    Tj^670730950995

    Fj(2) = Tj^ / Tj(1)1.081.100.980.89

    Iteration 3: Fij(3) = [Fi(3) + Fj(3)] / 2

    1234

    11.0781.0881.0320.984

    21.0581.0681.0120.964

    31.0231.0330.9770.929

    40.9830.9930.9370.889

    Tij(3) = Tij(2) * Fij(3)

    1234Ti(3)Ti^Fi(4) = Ti^ / Ti(3)

    10.00117.21383.41618.82111912001.07

    282.150.00505.66419.09100710501.04

    3225.89119.190.0052.293973800.96

    4318.76440.1188.450.008477700.91

    Tj(3)6276779781090

    Tj^670730950995

    Fj(4) = Tj^ / Tj(3)1.071.080.970.91

    Iteration 4: Fij(4) = [Fi(4) + Fj(4)] / 2

    1234

    11.0691.0751.0210.991

    21.0541.0601.0060.976

    31.0141.0200.9660.936

    40.9890.9950.9410.911

    Tij(4) = Tij(3) * Fij(4)

    1234Ti(4)Ti^Fi(5) = Ti^ / Ti(4)

    10.00125.95391.43613.46113112001.06

    286.620.00508.65409.17100410501.05

    3229.16121.520.0048.964003800.95

    4315.40437.7183.230.008367700.92

    Tj(4)6316859831072

    Tj^670730950995

    Fj(5) = Tj^ / Tj(4)1.061.070.970.93

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    DETROIT FACTORS HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    10251020551152.09

    225060301151501.30

    31060015851351.59

    4203015065951.46

    sum =3204951.55= F(.)1

    Iteration 1: F(ij)1 = [F(i)1 * F(j)1] / F(.)1

    1234

    12.8181.7532.1441.969

    21.7531.0901.3341.225

    32.1441.3341.6311.498

    41.9691.2251.4981.375

    T(ij)1 = T(ij)0 * F(ij)1

    1234T(i)1T(i)^F(i)2 = T(i)^ / T(i)1

    104421391051151.10

    244080371611500.93

    321800221241351.09

    4393722099950.96

    sum =4884951.01= F(.)2

    Iteration 2: F(ij)2 = [F(i)2 * F(j)2] / F(.)2

    1234

    11.1981.0131.1871.046

    21.0130.8561.0040.884

    31.1871.0041.1761.036

    41.0460.8841.0360.912

    T(ij)2 = T(ij)1 * F(ij)2

    1234T(i)2T(i)^F(i)3 = T(i)^ / T(i)2

    104425411111151.04

    244080321571500.95

    325800231291351.05

    4413223097950.98

    sum =4944951.00= F(.)3

    Iteration 3: F(ij)3 = [F(i)3 * F(j)3] / F(.)3

    1234

    11.0820.9881.0921.019

    20.9880.9030.9980.931

    31.0920.9981.1031.029

    41.0190.9311.0290.960

    T(ij)3 = T(ij)2 * F(ij)3

    1234T(i)3T(i)^F(i)4 = T(i)^ / T(i)3

    104428421141151.01

    244080301541500.97

    328800241321351.02

    4423024096950.99

    sum =4964951.00= F(.)4

    Iteration 4: F(ij)4 = [F(i)4 * F(j)4] / F(.)4

    1234

    11.0200.9801.0301.000

    20.9800.9410.9890.960

    31.0300.9891.0401.010

    41.0000.9601.0100.980

    T(ij)4 = T(ij)3 * F(ij)4

    1234T(i)4T(i)^F(i)5 = T(i)^ / T(i)4

    104329421141151.01

    243079291511500.99

    329790241321351.02

    4422924095951.00

    sum =492495

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    FRATAR METHOD HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1Sum(z) T(iz)0 F(z)1

    10251020551152.0978

    225060301151501.30191

    31060015851351.59121

    4203015065951.46105

    Iteration 1: t(ij)1 = T(ij)0 T(i)^ F(j)1 / Sum(z) {T(iz)0 F(z)1]

    1234

    10482443

    24107534

    32387024

    43835220

    T(ij)1 = [t(ij)1 + t(ji)1] / 2

    1234T(i)1T(i)^F(i)2Sum(z) T(iz)1 F(z)2

    104523411091151.06106

    245081351601500.94167

    323810231271351.06123

    4413523099950.96100

    Iteration 2: t(ij)2 = T(ij)1 T(i)^ F(j)2 / Sum(z) {T(iz)1 F(z)2]

    1234

    10462742

    24307730

    32783024

    44131230

    T(ij)2 = [t(ij)2 + t(ji)2] / 2

    1234T(i)2T(i)^F(i)3Sum(z) T(iz)2 F(z)3

    104427421131151.02112

    244080311551500.97158

    327800241311351.03129

    4423124096950.9997

    Iteration 3: t(ij)3 = T(ij)2 T(i)^ F(j)3 / Sum(z) {T(iz)2 F(z)3]

    1234

    10442942

    24307929

    32981025

    44229240

    T(ij)3 = [t(ij)3 + t(ji)3] / 2

    1234T(i)3T(i)^F(i)4

    104329421141151.01

    243080291521500.98

    329800241331351.01

    4422924095951.00

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    SC Growth Model HW

    Singly-constrained by Originating

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    3783867601061

    1234

    10793637541196

    25804765141047

    3203101078381

    42893741060768

    550553.5944.351345.15

    Singly-constrained by Destined

    1234T(i)0T(i)^

    10602755719061200

    25004104439031050

    312361047231380

    4205265750545770

    T(i)03783867601061

    T(i)^670730950995

    F(i)1 = T(i)^ / T(i)01.771.891.250.94

    1234

    10113344537994

    28905134161017

    3218115044377

    4363501940957

    669730950997

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    Average Factors HW

    1234

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    3783867601061

    670730950995

    1.771.891.250.94

    1234

    11.5461.6061.2851.129

    21.4661.5261.2051.049

    31.7111.7711.4501.294

    41.5911.6511.3301.174

    1234

    10.0096.34353.38644.60109412001.10

    273.310.00494.05464.66103210501.02

    3210.48108.010.0060.813793801.00

    4326.20437.4199.750.008637700.89

    6106429471170

    670730950995

    1.101.141.000.85

    1234

    11.0991.1191.0510.975

    21.0591.0791.0110.935

    31.0491.0691.0010.925

    40.9941.0140.9460.870

    1234

    10.00107.78371.57628.61110812001.08

    277.650.00499.73434.55101210501.04

    3220.83115.430.0056.263933800.97

    4324.31443.4394.410.008627700.89

    6236679661119

    670730950995

    1.081.100.980.89

    1234

    11.0781.0881.0320.984

    21.0581.0681.0120.964

    31.0231.0330.9770.929

    40.9830.9930.9370.889

    1234

    10.00117.21383.41618.82111912001.07

    282.150.00505.66419.09100710501.04

    3225.89119.190.0052.293973800.96

    4318.76440.1188.450.008477700.91

    6276779781090

    670730950995

    1.071.080.970.91

    1234

    11.0691.0751.0210.991

    21.0541.0601.0060.976

    31.0141.0200.9660.936

    40.9890.9950.9410.911

    1234

    10.00125.95391.43613.46113112001.06

    286.620.00508.65409.17100410501.05

    3229.16121.520.0048.964003800.95

    4315.40437.7183.230.008367700.92

    6316859831072

    670730950995

    1.061.070.970.93

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    DETROIT FACTORS HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    10251020551152.09

    225060301151501.30

    31060015851351.59

    4203015065951.46

    sum =3204951.55= F(.)1

    Iteration 1: F(ij)1 = [F(i)1 * F(j)1] / F(.)1

    1234

    12.8181.7532.1441.969

    21.7531.0901.3341.225

    32.1441.3341.6311.498

    41.9691.2251.4981.375

    T(ij)1 = T(ij)0 * F(ij)1

    1234T(i)1T(i)^F(i)2 = T(i)^ / T(i)1

    104421391051151.10

    244080371611500.93

    321800221241351.09

    4393722099950.96

    sum =4884951.01= F(.)2

    Iteration 2: F(ij)2 = [F(i)2 * F(j)2] / F(.)2

    1234

    11.1981.0131.1871.046

    21.0130.8561.0040.884

    31.1871.0041.1761.036

    41.0460.8841.0360.912

    T(ij)2 = T(ij)1 * F(ij)2

    1234T(i)2T(i)^F(i)3 = T(i)^ / T(i)2

    104425411111151.04

    244080321571500.95

    325800231291351.05

    4413223097950.98

    sum =4944951.00= F(.)3

    Iteration 3: F(ij)3 = [F(i)3 * F(j)3] / F(.)3

    1234

    11.0820.9881.0921.019

    20.9880.9030.9980.931

    31.0920.9981.1031.029

    41.0190.9311.0290.960

    T(ij)3 = T(ij)2 * F(ij)3

    1234T(i)3T(i)^F(i)4 = T(i)^ / T(i)3

    104428421141151.01

    244080301541500.97

    328800241321351.02

    4423024096950.99

    sum =4964951.00= F(.)4

    Iteration 4: F(ij)4 = [F(i)4 * F(j)4] / F(.)4

    1234

    11.0200.9801.0301.000

    20.9800.9410.9890.960

    31.0300.9891.0401.010

    41.0000.9601.0100.980

    T(ij)4 = T(ij)3 * F(ij)4

    1234T(i)4T(i)^F(i)5 = T(i)^ / T(i)4

    104329421141151.01

    243079291511500.99

    329790241321351.02

    4422924095951.00

    sum =492495

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    FRATAR METHOD HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1Sum(z) T(iz)0 F(z)1

    10251020551152.0978

    225060301151501.30191

    31060015851351.59121

    4203015065951.46105

    Iteration 1: t(ij)1 = T(ij)0 T(i)^ F(j)1 / Sum(z) {T(iz)0 F(z)1]

    1234

    10482443

    24107534

    32387024

    43835220

    T(ij)1 = [t(ij)1 + t(ji)1] / 2

    1234T(i)1T(i)^F(i)2Sum(z) T(iz)1 F(z)2

    104523411091151.06106

    245081351601500.94167

    323810231271351.06123

    4413523099950.96100

    Iteration 2: t(ij)2 = T(ij)1 T(i)^ F(j)2 / Sum(z) {T(iz)1 F(z)2]

    1234

    10462742

    24307730

    32783024

    44131230

    T(ij)2 = [t(ij)2 + t(ji)2] / 2

    1234T(i)2T(i)^F(i)3Sum(z) T(iz)2 F(z)3

    104427421131151.02112

    244080311551500.97158

    327800241311351.03129

    4423124096950.9997

    Iteration 3: t(ij)3 = T(ij)2 T(i)^ F(j)3 / Sum(z) {T(iz)2 F(z)3]

    1234

    10442942

    24307929

    32981025

    44229240

    T(ij)3 = [t(ij)3 + t(ji)3] / 2

    1234T(i)3T(i)^F(i)4

    104329421141151.01

    243080291521500.98

    329800241331351.01

    4422924095951.00

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    SC Growth Model HW

    Singly-constrained by Originating

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    3783867601061

    1234

    10793637541196

    25804765141047

    3203101078381

    42893741060768

    550553.5944.351345.15

    Singly-constrained by Destined

    1234T(i)0T(i)^

    10602755719061200

    25004104439031050

    312361047231380

    4205265750545770

    T(i)03783867601061

    T(i)^670730950995

    F(i)1 = T(i)^ / T(i)01.771.891.250.94

    1234

    10113344537994

    28905134161017

    3218115044377

    4363501940957

    669730950997

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    Average Factors HW

    Observed Trips tij(0)

    1234ti(0)TiFi(1) = Ti / ti(0)

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    Tj(0)3783867601061

    Tj^670730950995

    Fj(1) = Tj^ / Tj(0)1.771.891.250.94

    Iteration 1: Fij(1) = [Fi(1) + Fj(1)] / 2

    1234

    11.5461.6061.2851.129

    21.4661.5261.2051.049

    31.7111.7711.4501.294

    41.5911.6511.3301.174

    Tij(1) = Tij(0) * Fij(1)

    1234Ti(1)Ti^Fi(2) = Ti^ / Ti(1)

    10.0096.34353.38644.60109412001.10

    273.310.00494.05464.66103210501.02

    3210.48108.010.0060.813793801.00

    4326.20437.4199.750.008637700.89

    Tj(1)6106429471170

    Tj^670730950995

    Fj(2) = Tj^ / Tj(1)1.101.141.000.85

    Iteration 2: Fij(2) = [Fi(2) + Fj(2)] / 2

    1234

    11.0991.1191.0510.975

    21.0591.0791.0110.935

    31.0491.0691.0010.925

    40.9941.0140.9460.870

    Tij(2) = Tij(1) * Fij(2)

    1234Ti(2)Ti^Fi(3) = Ti^ / Ti(2)

    10.00107.78371.57628.61110812001.08

    277.650.00499.73434.55101210501.04

    3220.83115.430.0056.263933800.97

    4324.31443.4394.410.008627700.89

    Tj(2)6236679661119

    Tj^670730950995

    Fj(2) = Tj^ / Tj(1)1.081.100.980.89

    Iteration 3: Fij(3) = [Fi(3) + Fj(3)] / 2

    1234

    11.0781.0881.0320.984

    21.0581.0681.0120.964

    31.0231.0330.9770.929

    40.9830.9930.9370.889

    Tij(3) = Tij(2) * Fij(3)

    1234Ti(3)Ti^Fi(4) = Ti^ / Ti(3)

    10.00117.21383.41618.82111912001.07

    282.150.00505.66419.09100710501.04

    3225.89119.190.0052.293973800.96

    4318.76440.1188.450.008477700.91

    Tj(3)6276779781090

    Tj^670730950995

    Fj(4) = Tj^ / Tj(3)1.071.080.970.91

    Iteration 4: Fij(4) = [Fi(4) + Fj(4)] / 2

    1234

    11.0691.0751.0210.991

    21.0541.0601.0060.976

    31.0141.0200.9660.936

    40.9890.9950.9410.911

    Tij(4) = Tij(3) * Fij(4)

    1234Ti(4)Ti^Fi(5) = Ti^ / Ti(4)

    10.00125.95391.43613.46113112001.06

    286.620.00508.65409.17100410501.05

    3229.16121.520.0048.964003800.95

    4315.40437.7183.230.008367700.92

    Tj(4)6316859831072

    Tj^670730950995

    Fj(5) = Tj^ / Tj(4)1.061.070.970.93

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    DETROIT FACTORS HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    10251020551152.09

    225060301151501.30

    31060015851351.59

    4203015065951.46

    sum =3204951.55= F(.)1

    Iteration 1: F(ij)1 = [F(i)1 * F(j)1] / F(.)1

    1234

    12.8181.7532.1441.969

    21.7531.0901.3341.225

    32.1441.3341.6311.498

    41.9691.2251.4981.375

    T(ij)1 = T(ij)0 * F(ij)1

    1234T(i)1T(i)^F(i)2 = T(i)^ / T(i)1

    104421391051151.10

    244080371611500.93

    321800221241351.09

    4393722099950.96

    sum =4884951.01= F(.)2

    Iteration 2: F(ij)2 = [F(i)2 * F(j)2] / F(.)2

    1234

    11.1981.0131.1871.046

    21.0130.8561.0040.884

    31.1871.0041.1761.036

    41.0460.8841.0360.912

    T(ij)2 = T(ij)1 * F(ij)2

    1234T(i)2T(i)^F(i)3 = T(i)^ / T(i)2

    104425411111151.04

    244080321571500.95

    325800231291351.05

    4413223097950.98

    sum =4944951.00= F(.)3

    Iteration 3: F(ij)3 = [F(i)3 * F(j)3] / F(.)3

    1234

    11.0820.9881.0921.019

    20.9880.9030.9980.931

    31.0920.9981.1031.029

    41.0190.9311.0290.960

    T(ij)3 = T(ij)2 * F(ij)3

    1234T(i)3T(i)^F(i)4 = T(i)^ / T(i)3

    104428421141151.01

    244080301541500.97

    328800241321351.02

    4423024096950.99

    sum =4964951.00= F(.)4

    Iteration 4: F(ij)4 = [F(i)4 * F(j)4] / F(.)4

    1234

    11.0200.9801.0301.000

    20.9800.9410.9890.960

    31.0300.9891.0401.010

    41.0000.9601.0100.980

    T(ij)4 = T(ij)3 * F(ij)4

    1234T(i)4T(i)^F(i)5 = T(i)^ / T(i)4

    104329421141151.01

    243079291511500.99

    329790241321351.02

    4422924095951.00

    sum =492495

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    FRATAR METHOD HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1Sum(z) T(iz)0 F(z)1

    10251020551152.0978

    225060301151501.30191

    31060015851351.59121

    4203015065951.46105

    Iteration 1: t(ij)1 = T(ij)0 T(i)^ F(j)1 / Sum(z) {T(iz)0 F(z)1]

    1234

    10482443

    24107534

    32387024

    43835220

    T(ij)1 = [t(ij)1 + t(ji)1] / 2

    1234T(i)1T(i)^F(i)2Sum(z) T(iz)1 F(z)2

    104523411091151.06106

    245081351601500.94167

    323810231271351.06123

    4413523099950.96100

    Iteration 2: t(ij)2 = T(ij)1 T(i)^ F(j)2 / Sum(z) {T(iz)1 F(z)2]

    1234

    10462742

    24307730

    32783024

    44131230

    T(ij)2 = [t(ij)2 + t(ji)2] / 2

    1234T(i)2T(i)^F(i)3Sum(z) T(iz)2 F(z)3

    104427421131151.02112

    244080311551500.97158

    327800241311351.03129

    4423124096950.9997

    Iteration 3: t(ij)3 = T(ij)2 T(i)^ F(j)3 / Sum(z) {T(iz)2 F(z)3]

    1234

    10442942

    24307929

    32981025

    44229240

    T(ij)3 = [t(ij)3 + t(ji)3] / 2

    1234T(i)3T(i)^F(i)4

    104329421141151.01

    243080291521500.98

    329800241331351.01

    4422924095951.00

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    SC Growth Model HW

    Singly-constrained by Originating

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    3783867601061

    1234

    10793637541196

    25804765141047

    3203101078381

    42893741060768

    550553.5944.351345.15

    Singly-constrained by Destined

    1234T(i)0T(i)^

    10602755719061200

    25004104439031050

    312361047231380

    4205265750545770

    T(i)03783867601061

    T(i)^670730950995

    F(i)1 = T(i)^ / T(i)01.771.891.250.94

    1234

    10113344537994

    28905134161017

    3218115044377

    4363501940957

    669730950997

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    Average Factors HW

    Observed Trips Tij(0)

    1234Ti(0)Ti^Fi(1) = Ti^ / Ti(0)

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    tj(0)3783867601061

    Tj^670730950995

    Fj(1) = Tj^ / Tj(0)1.771.891.250.94

    Iteration 1: Fij(1) = [Fi(1) + Fj(1)] / 2

    1234

    11.5461.6061.2851.129

    21.4661.5261.2051.049

    31.7111.7711.4501.294

    41.5911.6511.3301.174

    Tij(1) = Tij(0) * Fij(1)

    1234Ti(1)Ti^Fi(2) = Ti^ / Ti(1)

    10.0096.34353.38644.60109412001.10

    273.310.00494.05464.66103210501.02

    3210.48108.010.0060.813793801.00

    4326.20437.4199.750.008637700.89

    Tj(1)6106429471170

    Tj^670730950995

    Fj(2) = Tj^ / Tj(1)1.101.141.000.85

    Iteration 2: Fij(2) = [Fi(2) + Fj(2)] / 2

    1234

    11.0991.1191.0510.975

    21.0591.0791.0110.935

    31.0491.0691.0010.925

    40.9941.0140.9460.870

    Tij(2) = Tij(1) * Fij(2)

    1234Ti(2)Ti^Fi(3) = Ti^ / Ti(2)

    10.00107.78371.57628.61110812001.08

    277.650.00499.73434.55101210501.04

    3220.83115.430.0056.263933800.97

    4324.31443.4394.410.008627700.89

    Tj(2)6236679661119

    Tj^670730950995

    Fj(2) = Tj^ / Tj(1)1.081.100.980.89

    Iteration 3: Fij(3) = [Fi(3) + Fj(3)] / 2

    1234

    11.0781.0881.0320.984

    21.0581.0681.0120.964

    31.0231.0330.9770.929

    40.9830.9930.9370.889

    Tij(3) = Tij(2) * Fij(3)

    1234Ti(3)Ti^Fi(4) = Ti^ / Ti(3)

    10.00117.21383.41618.82111912001.07

    282.150.00505.66419.09100710501.04

    3225.89119.190.0052.293973800.96

    4318.76440.1188.450.008477700.91

    Tj(3)6276779781090

    Tj^670730950995

    Fj(4) = Tj^ / Tj(3)1.071.080.970.91

    Iteration 4: Fij(4) = [Fi(4) + Fj(4)] / 2

    1234

    11.0691.0751.0210.991

    21.0541.0601.0060.976

    31.0141.0200.9660.936

    40.9890.9950.9410.911

    Tij(4) = Tij(3) * Fij(4)

    1234Ti(4)Ti^Fi(5) = Ti^ / Ti(4)

    10.00125.95391.43613.46113112001.06

    286.620.00508.65409.17100410501.05

    3229.16121.520.0048.964003800.95

    4315.40437.7183.230.008367700.92

    Tj(4)6316859831072

    Tj^670730950995

    Fj(5) = Tj^ / Tj(4)1.061.070.970.93

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    DETROIT FACTORS HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    10251020551152.09

    225060301151501.30

    31060015851351.59

    4203015065951.46

    sum =3204951.55= F(.)1

    Iteration 1: F(ij)1 = [F(i)1 * F(j)1] / F(.)1

    1234

    12.8181.7532.1441.969

    21.7531.0901.3341.225

    32.1441.3341.6311.498

    41.9691.2251.4981.375

    T(ij)1 = T(ij)0 * F(ij)1

    1234T(i)1T(i)^F(i)2 = T(i)^ / T(i)1

    104421391051151.10

    244080371611500.93

    321800221241351.09

    4393722099950.96

    sum =4884951.01= F(.)2

    Iteration 2: F(ij)2 = [F(i)2 * F(j)2] / F(.)2

    1234

    11.1981.0131.1871.046

    21.0130.8561.0040.884

    31.1871.0041.1761.036

    41.0460.8841.0360.912

    T(ij)2 = T(ij)1 * F(ij)2

    1234T(i)2T(i)^F(i)3 = T(i)^ / T(i)2

    104425411111151.04

    244080321571500.95

    325800231291351.05

    4413223097950.98

    sum =4944951.00= F(.)3

    Iteration 3: F(ij)3 = [F(i)3 * F(j)3] / F(.)3

    1234

    11.0820.9881.0921.019

    20.9880.9030.9980.931

    31.0920.9981.1031.029

    41.0190.9311.0290.960

    T(ij)3 = T(ij)2 * F(ij)3

    1234T(i)3T(i)^F(i)4 = T(i)^ / T(i)3

    104428421141151.01

    244080301541500.97

    328800241321351.02

    4423024096950.99

    sum =4964951.00= F(.)4

    Iteration 4: F(ij)4 = [F(i)4 * F(j)4] / F(.)4

    1234

    11.0200.9801.0301.000

    20.9800.9410.9890.960

    31.0300.9891.0401.010

    41.0000.9601.0100.980

    T(ij)4 = T(ij)3 * F(ij)4

    1234T(i)4T(i)^F(i)5 = T(i)^ / T(i)4

    104329421141151.01

    243079291511500.99

    329790241321351.02

    4422924095951.00

    sum =492495

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    FRATAR METHOD HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1Sum(z) T(iz)0 F(z)1

    10251020551152.0978

    225060301151501.30191

    31060015851351.59121

    4203015065951.46105

    Iteration 1: t(ij)1 = T(ij)0 T(i)^ F(j)1 / Sum(z) {T(iz)0 F(z)1]

    1234

    10482443

    24107534

    32387024

    43835220

    T(ij)1 = [t(ij)1 + t(ji)1] / 2

    1234T(i)1T(i)^F(i)2Sum(z) T(iz)1 F(z)2

    104523411091151.06106

    245081351601500.94167

    323810231271351.06123

    4413523099950.96100

    Iteration 2: t(ij)2 = T(ij)1 T(i)^ F(j)2 / Sum(z) {T(iz)1 F(z)2]

    1234

    10462742

    24307730

    32783024

    44131230

    T(ij)2 = [t(ij)2 + t(ji)2] / 2

    1234T(i)2T(i)^F(i)3Sum(z) T(iz)2 F(z)3

    104427421131151.02112

    244080311551500.97158

    327800241311351.03129

    4423124096950.9997

    Iteration 3: t(ij)3 = T(ij)2 T(i)^ F(j)3 / Sum(z) {T(iz)2 F(z)3]

    1234

    10442942

    24307929

    32981025

    44229240

    T(ij)3 = [t(ij)3 + t(ji)3] / 2

    1234T(i)3T(i)^F(i)4

    104329421141151.01

    243080291521500.98

    329800241331351.01

    4422924095951.00

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    SC Growth Model HW

    Singly-constrained by Originating

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    3783867601061

    1234

    10793637541196

    25804765141047

    3203101078381

    42893741060768

    550553.5944.351345.15

    Singly-constrained by Destined

    1234T(i)0T(i)^

    10602755719061200

    25004104439031050

    312361047231380

    4205265750545770

    T(i)03783867601061

    T(i)^670730950995

    F(i)1 = T(i)^ / T(i)01.771.891.250.94

    1234

    10113344537994

    28905134161017

    3218115044377

    4363501940957

    669730950997

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    Average Factors HW

    Observed Trips Tij(0)

    1234ti(0)TiFi(1) = Ti / ti(0)

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    tj(0)3783867601061

    Tj670730950995

    Fj(1) = Tj / tj(0)1.771.891.250.94

    Iteration 1: Fij(1) = [Fi(1) + Fj(1)] / 2

    1234

    11.5461.6061.2851.129

    21.4661.5261.2051.049

    31.7111.7711.4501.294

    41.5911.6511.3301.174

    Tij(1) = Tij(0) * Fij(1)

    1234Ti(1)Ti^Fi(2) = Ti^ / Ti(1)

    10.0096.34353.38644.60109412001.10

    273.310.00494.05464.66103210501.02

    3210.48108.010.0060.813793801.00

    4326.20437.4199.750.008637700.89

    Tj(1)6106429471170

    Tj^670730950995

    Fj(2) = Tj^ / Tj(1)1.101.141.000.85

    Iteration 2: Fij(2) = [Fi(2) + Fj(2)] / 2

    1234

    11.0991.1191.0510.975

    21.0591.0791.0110.935

    31.0491.0691.0010.925

    40.9941.0140.9460.870

    Tij(2) = Tij(1) * Fij(2)

    1234Ti(2)Ti^Fi(3) = Ti^ / Ti(2)

    10.00107.78371.57628.61110812001.08

    277.650.00499.73434.55101210501.04

    3220.83115.430.0056.263933800.97

    4324.31443.4394.410.008627700.89

    Tj(2)6236679661119

    Tj^670730950995

    Fj(2) = Tj^ / Tj(1)1.081.100.980.89

    Iteration 3: Fij(3) = [Fi(3) + Fj(3)] / 2

    1234

    11.0781.0881.0320.984

    21.0581.0681.0120.964

    31.0231.0330.9770.929

    40.9830.9930.9370.889

    Tij(3) = Tij(2) * Fij(3)

    1234Ti(3)Ti^Fi(4) = Ti^ / Ti(3)

    10.00117.21383.41618.82111912001.07

    282.150.00505.66419.09100710501.04

    3225.89119.190.0052.293973800.96

    4318.76440.1188.450.008477700.91

    Tj(3)6276779781090

    Tj^670730950995

    Fj(4) = Tj^ / Tj(3)1.071.080.970.91

    Iteration 4: Fij(4) = [Fi(4) + Fj(4)] / 2

    1234

    11.0691.0751.0210.991

    21.0541.0601.0060.976

    31.0141.0200.9660.936

    40.9890.9950.9410.911

    Tij(4) = Tij(3) * Fij(4)

    1234Ti(4)Ti^Fi(5) = Ti^ / Ti(4)

    10.00125.95391.43613.46113112001.06

    286.620.00508.65409.17100410501.05

    3229.16121.520.0048.964003800.95

    4315.40437.7183.230.008367700.92

    Tj(4)6316859831072

    Tj^670730950995

    Fj(5) = Tj^ / Tj(4)1.061.070.970.93

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    DETROIT FACTORS HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    10251020551152.09

    225060301151501.30

    31060015851351.59

    4203015065951.46

    sum =3204951.55= F(.)1

    Iteration 1: F(ij)1 = [F(i)1 * F(j)1] / F(.)1

    1234

    12.8181.7532.1441.969

    21.7531.0901.3341.225

    32.1441.3341.6311.498

    41.9691.2251.4981.375

    T(ij)1 = T(ij)0 * F(ij)1

    1234T(i)1T(i)^F(i)2 = T(i)^ / T(i)1

    104421391051151.10

    244080371611500.93

    321800221241351.09

    4393722099950.96

    sum =4884951.01= F(.)2

    Iteration 2: F(ij)2 = [F(i)2 * F(j)2] / F(.)2

    1234

    11.1981.0131.1871.046

    21.0130.8561.0040.884

    31.1871.0041.1761.036

    41.0460.8841.0360.912

    T(ij)2 = T(ij)1 * F(ij)2

    1234T(i)2T(i)^F(i)3 = T(i)^ / T(i)2

    104425411111151.04

    244080321571500.95

    325800231291351.05

    4413223097950.98

    sum =4944951.00= F(.)3

    Iteration 3: F(ij)3 = [F(i)3 * F(j)3] / F(.)3

    1234

    11.0820.9881.0921.019

    20.9880.9030.9980.931

    31.0920.9981.1031.029

    41.0190.9311.0290.960

    T(ij)3 = T(ij)2 * F(ij)3

    1234T(i)3T(i)^F(i)4 = T(i)^ / T(i)3

    104428421141151.01

    244080301541500.97

    328800241321351.02

    4423024096950.99

    sum =4964951.00= F(.)4

    Iteration 4: F(ij)4 = [F(i)4 * F(j)4] / F(.)4

    1234

    11.0200.9801.0301.000

    20.9800.9410.9890.960

    31.0300.9891.0401.010

    41.0000.9601.0100.980

    T(ij)4 = T(ij)3 * F(ij)4

    1234T(i)4T(i)^F(i)5 = T(i)^ / T(i)4

    104329421141151.01

    243079291511500.99

    329790241321351.02

    4422924095951.00

    sum =492495

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    FRATAR METHOD HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1Sum(z) T(iz)0 F(z)1

    10251020551152.0978

    225060301151501.30191

    31060015851351.59121

    4203015065951.46105

    Iteration 1: t(ij)1 = T(ij)0 T(i)^ F(j)1 / Sum(z) {T(iz)0 F(z)1]

    1234

    10482443

    24107534

    32387024

    43835220

    T(ij)1 = [t(ij)1 + t(ji)1] / 2

    1234T(i)1T(i)^F(i)2Sum(z) T(iz)1 F(z)2

    104523411091151.06106

    245081351601500.94167

    323810231271351.06123

    4413523099950.96100

    Iteration 2: t(ij)2 = T(ij)1 T(i)^ F(j)2 / Sum(z) {T(iz)1 F(z)2]

    1234

    10462742

    24307730

    32783024

    44131230

    T(ij)2 = [t(ij)2 + t(ji)2] / 2

    1234T(i)2T(i)^F(i)3Sum(z) T(iz)2 F(z)3

    104427421131151.02112

    244080311551500.97158

    327800241311351.03129

    4423124096950.9997

    Iteration 3: t(ij)3 = T(ij)2 T(i)^ F(j)3 / Sum(z) {T(iz)2 F(z)3]

    1234

    10442942

    24307929

    32981025

    44229240

    T(ij)3 = [t(ij)3 + t(ji)3] / 2

    1234T(i)3T(i)^F(i)4

    104329421141151.01

    243080291521500.98

    329800241331351.01

    4422924095951.00

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    SC Growth Model HW

    Singly-constrained by Originating

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    3783867601061

    1234

    10793637541196

    25804765141047

    3203101078381

    42893741060768

    550553.5944.351345.15

    Singly-constrained by Destined

    1234T(i)0T(i)^

    10602755719061200

    25004104439031050

    312361047231380

    4205265750545770

    T(i)03783867601061

    T(i)^670730950995

    F(i)1 = T(i)^ / T(i)01.771.891.250.94

    1234

    10113344537994

    28905134161017

    3218115044377

    4363501940957

    669730950997

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    Average Factors HW

    Observed Trips tij(0)

    1234Ti(0)Ti^Fi(1) = Ti^ / Ti(0)

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    tj(0)3783867601061

    Tj670730950995

    Fj(1) = Tj / tj(0)1.771.891.250.94

    Iteration 1: Fij(1) = [Fi(1) + Fj(1)] / 2

    1234

    11.5461.6061.2851.129

    21.4661.5261.2051.049

    31.7111.7711.4501.294

    41.5911.6511.3301.174

    Tij(1) = Tij(0) * Fij(1)

    1234Ti(1)Ti^Fi(2) = Ti^ / Ti(1)

    10.0096.34353.38644.60109412001.10

    273.310.00494.05464.66103210501.02

    3210.48108.010.0060.813793801.00

    4326.20437.4199.750.008637700.89

    Tj(1)6106429471170

    Tj^670730950995

    Fj(2) = Tj^ / Tj(1)1.101.141.000.85

    Iteration 2: Fij(2) = [Fi(2) + Fj(2)] / 2

    1234

    11.0991.1191.0510.975

    21.0591.0791.0110.935

    31.0491.0691.0010.925

    40.9941.0140.9460.870

    Tij(2) = Tij(1) * Fij(2)

    1234Ti(2)Ti^Fi(3) = Ti^ / Ti(2)

    10.00107.78371.57628.61110812001.08

    277.650.00499.73434.55101210501.04

    3220.83115.430.0056.263933800.97

    4324.31443.4394.410.008627700.89

    Tj(2)6236679661119

    Tj^670730950995

    Fj(2) = Tj^ / Tj(1)1.081.100.980.89

    Iteration 3: Fij(3) = [Fi(3) + Fj(3)] / 2

    1234

    11.0781.0881.0320.984

    21.0581.0681.0120.964

    31.0231.0330.9770.929

    40.9830.9930.9370.889

    Tij(3) = Tij(2) * Fij(3)

    1234Ti(3)Ti^Fi(4) = Ti^ / Ti(3)

    10.00117.21383.41618.82111912001.07

    282.150.00505.66419.09100710501.04

    3225.89119.190.0052.293973800.96

    4318.76440.1188.450.008477700.91

    Tj(3)6276779781090

    Tj^670730950995

    Fj(4) = Tj^ / Tj(3)1.071.080.970.91

    Iteration 4: Fij(4) = [Fi(4) + Fj(4)] / 2

    1234

    11.0691.0751.0210.991

    21.0541.0601.0060.976

    31.0141.0200.9660.936

    40.9890.9950.9410.911

    Tij(4) = Tij(3) * Fij(4)

    1234Ti(4)Ti^Fi(5) = Ti^ / Ti(4)

    10.00125.95391.43613.46113112001.06

    286.620.00508.65409.17100410501.05

    3229.16121.520.0048.964003800.95

    4315.40437.7183.230.008367700.92

    Tj(4)6316859831072

    Tj^670730950995

    Fj(5) = Tj^ / Tj(4)1.061.070.970.93

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    DETROIT FACTORS HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    10251020551152.09

    225060301151501.30

    31060015851351.59

    4203015065951.46

    sum =3204951.55= F(.)1

    Iteration 1: F(ij)1 = [F(i)1 * F(j)1] / F(.)1

    1234

    12.8181.7532.1441.969

    21.7531.0901.3341.225

    32.1441.3341.6311.498

    41.9691.2251.4981.375

    T(ij)1 = T(ij)0 * F(ij)1

    1234T(i)1T(i)^F(i)2 = T(i)^ / T(i)1

    104421391051151.10

    244080371611500.93

    321800221241351.09

    4393722099950.96

    sum =4884951.01= F(.)2

    Iteration 2: F(ij)2 = [F(i)2 * F(j)2] / F(.)2

    1234

    11.1981.0131.1871.046

    21.0130.8561.0040.884

    31.1871.0041.1761.036

    41.0460.8841.0360.912

    T(ij)2 = T(ij)1 * F(ij)2

    1234T(i)2T(i)^F(i)3 = T(i)^ / T(i)2

    104425411111151.04

    244080321571500.95

    325800231291351.05

    4413223097950.98

    sum =4944951.00= F(.)3

    Iteration 3: F(ij)3 = [F(i)3 * F(j)3] / F(.)3

    1234

    11.0820.9881.0921.019

    20.9880.9030.9980.931

    31.0920.9981.1031.029

    41.0190.9311.0290.960

    T(ij)3 = T(ij)2 * F(ij)3

    1234T(i)3T(i)^F(i)4 = T(i)^ / T(i)3

    104428421141151.01

    244080301541500.97

    328800241321351.02

    4423024096950.99

    sum =4964951.00= F(.)4

    Iteration 4: F(ij)4 = [F(i)4 * F(j)4] / F(.)4

    1234

    11.0200.9801.0301.000

    20.9800.9410.9890.960

    31.0300.9891.0401.010

    41.0000.9601.0100.980

    T(ij)4 = T(ij)3 * F(ij)4

    1234T(i)4T(i)^F(i)5 = T(i)^ / T(i)4

    104329421141151.01

    243079291511500.99

    329790241321351.02

    4422924095951.00

    sum =492495

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    FRATAR METHOD HW

    Observed Trips T(ij)0

    1234T(i)0T(i)^F(i)1Sum(z) T(iz)0 F(z)1

    10251020551152.0978

    225060301151501.30191

    31060015851351.59121

    4203015065951.46105

    Iteration 1: t(ij)1 = T(ij)0 T(i)^ F(j)1 / Sum(z) {T(iz)0 F(z)1]

    1234

    10482443

    24107534

    32387024

    43835220

    T(ij)1 = [t(ij)1 + t(ji)1] / 2

    1234T(i)1T(i)^F(i)2Sum(z) T(iz)1 F(z)2

    104523411091151.06106

    245081351601500.94167

    323810231271351.06123

    4413523099950.96100

    Iteration 2: t(ij)2 = T(ij)1 T(i)^ F(j)2 / Sum(z) {T(iz)1 F(z)2]

    1234

    10462742

    24307730

    32783024

    44131230

    T(ij)2 = [t(ij)2 + t(ji)2] / 2

    1234T(i)2T(i)^F(i)3Sum(z) T(iz)2 F(z)3

    104427421131151.02112

    244080311551500.97158

    327800241311351.03129

    4423124096950.9997

    Iteration 3: t(ij)3 = T(ij)2 T(i)^ F(j)3 / Sum(z) {T(iz)2 F(z)3]

    1234

    10442942

    24307929

    32981025

    44229240

    T(ij)3 = [t(ij)3 + t(ji)3] / 2

    1234T(i)3T(i)^F(i)4

    104329421141151.01

    243080291521500.98

    329800241331351.01

    4422924095951.00

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    SC Growth Model HW

    Singly-constrained by Originating

    1234T(i)0T(i)^F(i)1 = T(i)^ / T(i)0

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    3783867601061

    1234

    10793637541196

    25804765141047

    3203101078381

    42893741060768

    550553.5944.351345.15

    Singly-constrained by Destined

    1234T(i)0T(i)^

    10602755719061200

    25004104439031050

    312361047231380

    4205265750545770

    T(i)03783867601061

    T(i)^670730950995

    F(i)1 = T(i)^ / T(i)01.771.891.250.94

    1234

    10113344537994

    28905134161017

    3218115044377

    4363501940957

    669730950997

    &CCE 370 - Transportation Planning - Trip DistributionGrowth Factor Models - &A

    Average Factors HW

    Observed Trips Tij(0)

    1234Ti(0)Ti^Fi(1) = Ti / ti(0)

    106027557190612001.32

    250041044390310501.16

    3123610472313801.65

    42052657505457701.41

    tj(0)3783867601061

    Tj670730950995

    Fj(1) = Tj / tj(0)1.771.891.250.94

    Iteration 1: Fij(1) = [Fi(1) + Fj(1)] / 2

    1234

    11.5461.6061.2851.129

    21.4661.5261.2051.049

    31.7111.7711.4501.294

    41.5911.6511.3301.174

    Tij(1) = Tij(0) * Fij(1)

    1234Ti(1)Ti^Fi(2) = Ti^ / Ti(1)

    10.0096.34353.38644.60109412001.10

    273.310.004