montreal, 18. -20th october, 2006 20th international emme users’ conference the modelling of 2...
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20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
The modelling of 2 different cases of the trip distribution in EMME in the Czech
Republic Jiri Dufek,
Transport Research Centre Brno, Czech Republic
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
Regional level: Urban agglomeration: Middle Bohemian region Brno city
The modelling on regional and urban level
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
Regional level: Urban agglomeration: Middle Bohemian region Brno city
The modelling on regional and urban level
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
Basic information:
The Middle – Bohemian Region
• data of National population census used for trip generation
• 574 zones, 512 internal (cities, towns , villages), 62 external)
• zone groups (ga) system corresponding to the administrative units, former “districts”
Ensembles defined: - ga “districts” - 14 zone groups - gb “capitals” - 2 groups (Prague
gb2 and others gb 1)
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
Demand between districts (ga):
The Middle – Bohemian Region
• knowledge of demand between individual district based on National Population Census - 3D trip distribution
• all OD pairs were assigned to specific categories, depending on a district which they belong to = 3rd dimension
Demand from district capitals (gb1) to the Prague (gb2)
Node label – town nameNode number – total production
This is not aggregated demand (only between district capitals)
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
Demand between districts (ga):
The Middle – Bohemian Region
- between district capitals (gb1)
- depends ON districts
- depends NOT ONLY ON travel time and zones attractivity
DISPLAYED DEMAND:
• Strong demand inside each district (ga), small demand between outlying districts
- insufficient 2D distribution, suitable 3D distribution
• 3rd dimension – sorted matrix by origin and destination district
• 3rd dimension totals – district to district demand from population census
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
Demand between districts (ga):
The Middle – Bohemian Region
- result of the 3D modelling
-strong impact of 3rd dimension (demand between districts)
- displayed with a help of intrinsic function “which”
DISPLAYED DEMAND:
• differences between demand within a district and outside a district
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
Model network information:
The Middle – Bohemian Region
• done by data exchange between ArcView and EMME,
• very detailed: 4711 regular nodes, 14268 links,
• interactive adjustments of the input from GIS: (highway exits, big intersections),
• intersection and turn definition.
Example of the intersection done interactively:
- blue – one way links
- red – two way links
- in circles – all allowed turns
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
Temporary results of assignment:
The Middle – Bohemian Region
• equilibrium assignment, BPR volume / delay function
• demand matrix – resulted from 3D trip distribution
• VDF variables: free flow speed, link capacity
• until now only commuting
Detailed view - assigned volumes on the intersection (example)
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
Conclusion remarks:
The Middle – Bohemian Region
• only 1 scenario until now, not finished
• now it is only commuting, shopping demand is being modeled
• the development scenarios containing planned actions will be tested
• the model is 1-modal (auto), planned to be multimodal
• public transport lines will be put in
• a modal split between individual and public transport will be modeled
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
Model upgrade:
The Brno city and surrounding
• new zoning system: zones are urbanistic units
• knowledge of delatied socioeconomic data about population in individual zones, from National Population census: inhabitants age, employment, sex, householsd equipment, car ownership, etc..
• totally 315 zones: 278 urbanistic units of Brno, 11 nearest villages and 26 external zones
The whole network with urbanistic units and displayed centroids of nearest villages
Detailed view – city centre
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
Model upgrade:
The Brno city and surrounding
• The Integrated of public transport system (IDS JMK)
• 57 urban lines (13 tram, 11 trolleybus, 33 bus lines)
• new 27 regional bus lines and 5 train lines
The whole network with zone bonudaries, train links and regional bus lines
Regional bus lines usually end in significant city transport stops, for the passengers transfers.
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
Determination of transport production and atractivity
The Brno city and surrounding
Production:
Data source – population census
• No. of people leaving the zone for commuting
• No. of pupils and students leaving the zone
Data source – web sites
•The capacity of student colleges in Brno
Attractivity:
• No. of jobs in individual companies and institutions in Brno
• Data about shops- estimation of No. of the customers per a day from companies incomes (data source commercial statistics)
• The capacity of all secondary and higher schools in Brno (data source – Internet, personal interviews)
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
Overeview of production and attraction matrices in the system
The Brno city and surrounding
mo md
mo1 – total commuting md1 – No. of jobs
mo2 – students leaving homes md2 – No. of shopping persons
mo22 – students leaving colleges md3 – No. of school attendants (secondary and higher)
mo3 – men commuting md4 – No of customers of big shopping centres
mo4 – women commuting md5 – external zones – people living outside Brno travelling home
mo5 – production of external zones md6 – total of all atractivities
mo9 – shopping production
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
Examples of the production and attraction plots:
The Brno city and surrounding
mo1 - commuting
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
Examples of the production and attraction plots:
The Brno city and surrounding
mo2 – students from home mo2 – students from colleges
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
Examples of the production and attraction plots:
The Brno city and surrounding
md1 – No. of jobs
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
Examples of the production and attraction plots:
The Brno city and surrounding
md2 – shopping
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
Types of the trips considered:
The Brno city and surrounding
HWH home – work – home
HWShH home – work – shopping – home
HShH home – shopping – home
H(C)SchH home (+college) – school * - home
* - only secondary and hogh schools, primary schools transport is considered to be within a zone
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
The Brno city and surrounding
* - only secondary and high schools, primary schools transport is considered to be within a zone
HWH gravity (entropy) model, production - mens commuting, attractivity – No. of jobs
HWShH 3-leg trip chain (macro tchain3 used), production – women commuting (typical in Czech Republic), atractivities: Aq – No. of jobs, Br – No. of customers in shops
HShH gravity (entropy) model – proportional distribution of No. of shopping centres customers between all zones
according to No. of inhabitants
H(C)SchH gravity (entropy) model *
Calculations of trip distribution:• input matrix = negative exponential function of distances between zones
• production data is more reliable the attractivity data – scaled by production (except HSH)
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
The Brno city and surrounding
Dealing with external zones32 external zones: entries to/from the model area
• 19 zones – car and bus entry
• 7 zones – car entry only
• 6 zones train entry only
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
The Brno city and surrounding
Dealing with external zones
Total production splited to 3 mo matrices: car, car+bus and train
Data souces:
• car transport: traffic volumes from National Traffic Census
• No. of passenges: lack od surveys – estimation.
Attractivity = total od previous attractivities (work, shops, schools, ...)
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
The Brno city and surrounding
Resulted full demand matrices
mf2 from home or college to school
mf11 1st leg of trip chain calculation (movement of employed women)
mf12 2nd leg - work – shop
mf13 3rd leg – shop – home
mf14 from home to work (employed men)
mf19 from home to shopping centre
mf22 from external zones (auto)
mf23 from external zones (auto and transit)
mf24 from external zones (transit)
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
The Brno city and surrounding
Modal split and auto assignment
Calculation od the modal split (matrix mf20): not finished yet, utility functions are not definitemf20 =e^ f (mf3, mf9, mo12, md12) / (e^f (mf3, mf9, mo12, md12)) + (e^f(mf4, mf1, mo12, md12))
mf3 auto travel time (min)
mf9 auto costs ( CZK)
mo12 No. of cars per a worker
md12 parking costs (only in central zones)
mf4 transit time
mf1 transit rate
Calculation of all day auto demand (matrix mf16): (mf19+mf19'+mf22+mf22')+(mf11+mf12+mf13+mf14+mf14'+mf24+mf24')*mf20
explanations to matrices / see previous slide
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
The Brno city and surrounding
Modal split and auto assignment
assigned auto demand (mf16)
volumes must be calibrated
20th International EMME Users’ Conference Montreal, 18. -20th October, 2006
The Brno city and surrounding
Conslusions:
Next plans in Brno
• calibration of modal split functions (in Brno: 55 % cars, 45 %)
• calculation and assignment of urban transport matrix
• development of scenarios (some already are in older model)
• construction of Big City Circle and other planned roads
• two high – speed tramway lines
• a shift of Central railway Station
• the Park and Ride system.