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Summary of Results and Findings 2015 Dallas Fort‐Worth Originating Passenger Survey P a g e | i

Table of Contents

Contents

I. Survey Methodology .......................................................................................................................................... 1

I.1 Project Overview ............................................................................................................................................... 1

I.2 Sampling Design ................................................................................................................................................ 1

I.3 Sampling Instrument .......................................................................................................................................... 2

I.4 Survey Administration ....................................................................................................................................... 4

I.5 Data Processing ................................................................................................................................................. 5

I.6 Data Weighting .................................................................................................................................................. 6

I.7 Data Analysis ................................................................................................................................................... 11

I.8 Lessons Learned .............................................................................................................................................. 13

II. Data Collected .................................................................................................................................................. 15

II.1 Originating versus Connecting by Time of Day (Unweighted Data) ........................................................... 15

II.4 Originating Passengers - Records by Time of Day (Unweighted Data) ....................................................... 16

II.5 Originating Passengers By Airline (Unweighted Data) ................................................................................ 17

II.6 Destination Map (Unweighted Data) ........................................................................................................... 18

II.7 Originating Passengers - Records by Destination Zone (Unweighted Data) ................................................ 19

II.8 Originating Passengers - Records by Top Destination (Unweighted Data) ................................................. 20

II.9 Area of Origination ...................................................................................................................................... 21

II.10 Origination Location ................................................................................................................................... 20

III. Trip Characteristics .......................................................................................................................................... 21

III.1 Trip to the Airport ....................................................................................................................................... 21

III.2 Parking Characteristics ................................................................................................................................ 25

III.3 Airline Trip .................................................................................................................................................. 27

IV. Demographic Characteristics ........................................................................................................................... 30

IV.1 Gender ......................................................................................................................................................... 30

IV.2 Age .............................................................................................................................................................. 31

IV.3 Employment ................................................................................................................................................ 31

IV.4 Ethnicity ...................................................................................................................................................... 32

V. Household Demographics ................................................................................................................................ 33

V.1 Household Vehicles ..................................................................................................................................... 33

Summary of Results and Findings 2015 Dallas Fort‐Worth Originating Passenger Survey P a g e | i

V.2 Household Size ............................................................................................................................................ 34

V.3 Annual Income ............................................................................................................................................ 35

V.4 Home Location ............................................................................................................................................ 37 Appendix A – Dallas Fort-Worth Survey Questionnaire

Summary of Results and Findings 2015 Dallas Fort‐Worth Originating Passenger Survey P a g e | 1

I. Survey Methodology

I.1 ProjectOverview

The North Central Texas Council of Governments (NCTCOG) commissioned Unison Consulting, Inc. (Unison) to conduct the 2015 North Central Texas Departing Airline Passenger Surveys at Dallas Fort-Worth International Airport (DFW) and Dallas Love Field Airport (DAL). The main purpose of these surveys is to provide updated originating information regarding departing passengers’ travel patterns and trip-making behavior after the lifting of the Wright Amendment’s flight restrictions at DAL in October 2014. The last airline passenger surveys were performed in 2001 for DFW and 2014 for DAL. This report describes the survey methodology and summary-level findings at DFW.

I.2 SamplingDesign

The sampling approach at DFW is based on daily scheduled seats by airline, destination zone, and time period for the survey. To ensure the sample is representative of the airport population, we first used a stratified sampling method based on the distribution of scheduled seats by zone. For example, to determine the market share per zone, we summed up the total number of scheduled seats by zone during the survey period from the Official Aviation Guide (OAG) database. For example, according to the OAG database, 30 percent of scheduled seats for the initial survey period are destined for the Eastern zone. Considering a total sample target of 7,000 originating (O&D) surveys we estimated approximately 2,121 surveys would need to be collected for this zone (Table I-1A).

TABLE I-1A – EXAMPLE OF SAMPLING TARGETS BY DESTINATION ZONE - DFW

Table I-1B shows the sampling targets based on time period. Considering departing flights during the 12am time period only account for one percent of total flights, the sample target was 56 O&D surveys.

TABLE I-1B – EXAMPLE OF SAMPLING TARGETS BY TIME PERIOD - DFW

Destination Zone Scheduled Seats Market Share Sample Target

Eastern 2,003,517 30% 2,121

Central 1,328,772 20% 1,406

Pacific 1,030,069 16% 1,090

Texas 784,766 12% 831

International 817,258 12% 865

Mountain 608,362 9% 644

Hawaii 40,984 1% 43

Total 6,613,728 7,000

Time Period Scheduled Seats Market Share Sample Target

12am 53,072 1% 56

6am 967,161 15% 1,024

9am 1,368,258 21% 1,448

12pm 1,171,230 18% 1,240

3pm 1,309,005 20% 1,385

6pm 1,312,278 20% 1,389

9pm 432,724 7% 458

Total 6,613,728 7,000


Table I-1C shows the sampling targets based on airline. According to OAG data, American Airlines flights account for 85 percent of the market share. Thus, the sample target for O&D passengers traveling with American Airlines was 5,948 surveys.

TABLE I-1C – EXAMPLE OF SAMPLING TARGETS BY AIRLINE - DFW

I.3 SamplingInstrument

NCTCOG provided a list of information that was required to be collected on a survey, in order for the survey to be considered usable. The required information was the following:

Geo-codable trip origin

Destination airport or country Trip purpose

Access mode to the airport

Parking preference (if parked)

Transportation cost reimbursement

Airline

Flight number

Airline Scheduled Seats Market Share Sample Target

Aeromexico 11,880 0% 13

Air Canada 13,140 0% 14

Alaska Airlines 36,049 1% 38

American Airlines 5,620,112 85% 5,948

Avianca 4,608 0% 5

Boutique Air 2,565 0% 3

British Airways 20,529 0% 22

Delta Air Lines 256,930 4% 272

Emirates 32,184 0% 34

Etihad Airways 7,826 0% 8

Frontier 32,712 0% 35

Japan Airlines 3,906 0% 4

JetBlue 17,350 0% 18

KLM‐Royal Dutch 972 0% 1

Korean Air 10,671 0% 11

Lufthansa 11,025 0% 12

PublicCharters.com 418 0% 0

Qantas Airways 26,784 0% 28

Qatar Airways 17,685 0% 19

Spirit Airlines 248,970 4% 264

Sun Country Airlines 7,416 0% 8

United Airlines 213,157 3% 226

US Airways 12,613 0% 13

Volaris 4,226 0% 4

Total 6,613,728 7,000


Time of survey

Home Information - Zip code or identifiable location for Texas residents; US State/Zip Code or International Country, otherwise.

In addition, NCTCOG specified the following additional information to be collected from each respondent.

Origin Type

Travel Time to the Airport

Size of Travel Party to the Airport (Persons, Vehicles)

Size of Trip Travel Party

Trip Duration

Gender

Age

Employment Status

Ethnicity

Number of Household Vehicles

Household Size

Household Income

At the beginning of each survey, the respondent was asked if he or she was originating from DFW. Respondents who were originating from Dallas Fort-Worth would be offered the full survey. Respondents connecting through DFW would have their survey terminate after that question, but the survey would be recorded and used to calculate the percentage of originating passengers on each flight.

Using the 2014 DAL survey questionnaire as a baseline, Unison developed two separate survey instruments to collect passenger information at DAL and DFW, which mainly differed by airport-specific responses to questions and City of Dallas Aviation Department question additions to the DAL survey. Unison worked closely with NCTCOG to ensure each question was clear, concise, and easy to understand. Draft questionnaires were provided to NCTCOG for review and comment.

Once approved, the questionnaires were loaded onto hand-held computer tablets. Questions were programmed with skip logic and conditional branching to ensure that respondents were asked only those questions relevant to them. For example, only passengers who came to the airport via private vehicle were asked questions about parking, whereas all other passengers skipped parking questions. When the programming was complete, two tablets were shipped to NCTCOG for testing and approval.

On September 1, 2015, a pilot test of the survey questionnaire was conducted at DFW. A total of 88 surveys were collected during the pilot test. The results of the pilot tests were reviewed and analyzed. About half of the responses were from originating passengers (46 surveys) and would qualify for the study. Unison reviewed the raw survey data and recoded and cleaned, as appropriate, to better classify passenger responses and determine usability of surveys. A total of 36 surveys (77 percent of originating surveys) included valid data in the required fields and, therefore, met the criteria for usability.

Based on the pilot test, modifications to the questionnaire were needed to explain how trip purpose, home address, and origin address were obtained. To help improve the quality of origin data collected, passengers were presented with a series of questions and options to extract detailed origination information.

Since more detailed information was needed from counties within NCTCOG’s metropolitan planning area, an initial


question to define the general location of the origin was asked. “Is your starting location within the Dallas Fort Worth Metroplex area? Within 100 miles of airport.” If the respondent answered yes, the surveyor then would ask what information they could provide about the origin with the following question:

“What can you provide:

1) Address 2) Cross Streets and City 3) Name of Landmark/Business/ Hotel and City”

Passengers who chose “1) Address” or “2) Cross Streets and City” were presented with a comprehensive list of streets and cities in the Dallas Fort Worth Metroplex. Passengers who chose “3) Name of Landmark/ Business / Hotel and City” were asked to provide as much information as possible regarding the landmark.

If the respondents did not originate from the Dallas-Fort Worth Metroplex area, the surveyors asked them to provide any information about their origin – street, cross streets, landmarks, and/or zip codes; a valid city or zip code would be considered sufficient to locate an origin outside the Dallas-Fort Worth Metroplex.

Because origination information is critical to the study, surveys without sufficient information would not be considered usable; thus, Unison added a quality check question for interviewer’s use: “Is information complete?” At this point, if origin information was incomplete, the survey would be terminated. Passengers who provided complete origination information would continue with the remaining questions of the survey.

The survey questionnaire was updated, and then finalized after discussion and review by NCTCOG. The final DFW survey questionnaire (attached as Appendix A) consisted of 27 questions presented through 74 total tablet screens.

I.4 SurveyAdministration

Survey administration at DFW was a team effort between Unison and its two local subcontractors, National Service Research (“NSR”) and Consumer & Market Insights (“CMI”). NSR and CMI led hiring and managed the data collection; Unison communicated with the Aviation Department and provided training and project oversight. To ensure a successful survey process, Unison provided a comprehensive training session so that all interviewers understood the objectives of the project, each question being asked, use of the tablets, general rules and regulations of the airport, and performance expectations.

To conduct surveys in the airline holdrooms, all interviewers were required to obtain proper security identification badges. The NSR team already had proper security badges so were able to start work immediately. Only a few CMI employees had security badges and the others were required to complete badging applications and undergo background checks and fingerprinting. CMI staff coordinated this process with the DFW’s Aviation Planning Department who signed off on the badging applications then worked with the badging office to ensure all of the TSA requirements were met.

On every survey day, each interviewer was assigned to specific gates to conduct surveys and provided a list of scheduled flights. Interviewers randomly approached passengers waiting at the airline gate hold rooms for an assigned flight, reviewed flight information with each passenger respondent, and then administered surveys via electronic tablet. At the end of the day, the team reconvened to discuss tips on how to improve response rates and overcome challenges with the process. Electronic tablets were uploaded at the end of the shifts onto a secure remote server for Unison’s review. Unison provided daily reports to supervisors and weekly updates to


NCTCOG to stay abreast of survey progress, and to ensure the survey objectives were being met.

Survey administration at DFW lasted for 56 weekdays from October 13, 2015 to February 3, 2016. The response rate for the survey was approximately 80 percent: 4 out of 5 of all passengers (originating and connecting) approached by an interviewer agreed to participate in the survey.

I.5 DataProcessing

Unison used Microsoft Excel for initial processing and data cleaning of survey results. First, Unison performed a quality check of the survey results to ensure the data provided all the necessary information required for the project. According to the project specifications, a survey is considered usable if it includes the following information:

Geo-codable trip origin

Destination airport or country

Access mode to the airport

Trip purpose

Parking preference (if parked)

Transportation cost reimbursement

Airline Flight number

Time of survey

Home information

Surveys marked usable were then geocoded by Unison’s subcontractor, Maroon Society, which led the geocoding tasks. The process of geo-coding includes matching a location to its corresponding latitude and longitude coordinates. Maroon Society used Texas A&M Geoservices (Geoservices) to geocode the origin locations. Trip origination data was geocoded based on address, cross streets, or other information provided by the passenger.

Approximately 4,000 origination locations – business, hotels, and landmarks – were manually researched for street addresses to be geocoded. In several instances, the Geoservices software did not provide a matching centroid (center) for certain, although valid, cross streets (North/South and East/West); in these cases, additional manual research was required to locate appropriate latitude and longitude coordinates. In some cases, ZIP codes, identified by NCTCOG, were used for the purpose of conducting the geospatial analysis.

In terms of home information, Unison geocoded information for passengers residing in Texas. Unison geocoded locations within the Dallas Fort Worth Metroplex by address or cross streets. For home locations outside the Metroplex but within Texas, addresses, cross streets, or ZIP code centroids were geocoded. Home state and/or country was provided for passengers who reside outside of Texas.

Further, Unison geocoded airport destinations identified in the survey. Airports were geocoded to FAA latitude and longitude coordinates and provided to NCTCOG in a separate file.

Approximately 16 percent of collected origination surveys were not considered usable due to incomplete data, including non-geocodeable locations, after the extensive review by Unison and NCTCOG. Eight-four percent (8,379) of the 9,942 originating surveys collected qualified as usable and, therefore, were able to be used in the weighting process to expand the dataset.

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I .6.3 Examine Originating Flight Patterns and Calculate Originating Flight Rate

As part of the weighting process, the originating flight patterns were calculated as the number of originating passenger surveys versus the total number of originating and connecting passenger surveys collected. For the purpose of this calculation, all surveys with airline, flight, time, and destination were considered regardless of completeness of required fields or geocodable origin. Tables considering origination flight rate by airline, origination flight rate by time of day period, and origination flight rate by destination zone were analyzed by all parties to make the final decision on how to best use the originating flight data. Since the originating flight patterns varied so much by carrier, it was agreed to apply originating flight percentage by airline first, then time period and destination.

There were too few samples in some of the stratum to make robust estimates. In those cases, cells were combined by destination then time. The final origination percentages used are shown in Table I-3.

TABLE I-3– FINAL ORIGINATING FLIGHT ESTIMATES BY SAMPLE STRATA FOR EXPANSION

Yes No Yes No

6am+9am 91 23 114 79.8% 20.2%

12pm 66 16 82 80.5% 19.5%

3pm 79 32 111 71.2% 28.8%

6pm+9pm 85 108 193 44.0% 56.0%

321 179 500 64.2% 35.8%

6am+12pm 34 6 40 85.0% 15.0%

3pm 27 21 48 56.3% 43.8%

6pm 22 10 32 68.8% 31.3%

Eastern All Times 87 25 112 77.7% 22.3%

Mountain All Time Zones 53 8 61 86.9% 13.1%

6am+9am 43 5 48 89.6% 10.4%

12pm 24 2 26 92.3% 7.7%

3pm 86 6 92 93.5% 6.5%

6pm+9pm 38 34 72 52.8% 47.2%

6am 61 9 70 87.1% 12.9%

9am 24 1 25 96.0% 4.0%

12pm 63 2 65 96.9% 3.1%

3pm 73 4 77 94.8% 5.2%

6pm 48 19 67 71.6% 28.4%

683 152 835 81.8% 18.2%

6am 62 17 79 78.5% 21.5%

9am 140 176 316 44.3% 55.7%

12pm 71 101 172 41.3% 58.7%

3pm 161 180 341 47.2% 52.8%

6pm 138 56 194 71.1% 28.9%

9pm 151 72 223 67.7% 32.3%

723 602 1325 54.6% 45.4%Subtotal Amercian and Sun Country International

Sun Country and Spirit Airlines Domestic

Central. Mountain, Pacific

Eastern

Subtotal

American and Sun Country International

International

TotalOriginating @ DFW (%)

US Airways, Frontier, Boutique, Jet Blue

Airline Zone Time PeriodOriginating @ DFW (n)

Aeromexico, Air Canada, Avianca, British Airways, Emirates, Etihad, Korean,

Lufthansa, Quantas, Qatar, Volaris

International

Subtotal International Only

Alaska Airlines Pacific


TABLE I-3– FINAL ORIGINATING FLIGHT ESTIMATES BY SAMPLE STRATA FOR EXPANSION (CONTINUED)

Yes No Yes No

6am 154 23 177 87.0% 13.0%

9am 420 247 667 63.0% 37.0%

12pm 238 191 429 55.5% 44.5%

3pm 280 166 446 62.8% 37.2%

6pm 212 134 346 61.3% 38.7%

9pm 32 71 103 31.1% 68.9%

6am 386 98 484 79.8% 20.2%

9am 900 441 1341 67.1% 32.9%

12pm 662 442 1104 60.0% 40.0%

3pm 427 259 686 62.2% 37.8%

6pm + 9pm 376 259 635 59.2% 40.8%

Hawaii 9am 80 40 120 66.7% 33.3%

6am 84 14 98 85.7% 14.3%

9am 235 98 333 70.6% 29.4%

12pm 198 225 423 46.8% 53.2%

3pm 58 26 84 69.0% 31.0%

6pm 67 71 138 48.6% 51.4%

9pm 48 68 116 41.4% 58.6%

6am 235 106 341 68.9% 31.1%

9am 304 249 553 55.0% 45.0%

12pm 174 137 311 55.9% 44.1%

3pm 213 182 395 53.9% 46.1%

6pm 85 61 146 58.2% 41.8%

9pm 40 48 88 45.5% 54.5%

6am 107 10 117 91.5% 8.5%

9am 171 171 342 50.0% 50.0%

12pm 150 137 287 52.3% 47.7%

3pm 267 243 510 52.4% 47.6%

6pm 218 166 384 56.8% 43.2%

9pm 72 264 336 21.4% 78.6%

Central, Eastern, Mountain

12am 37 2 39 94.9% 5.1%

6930 4649 11579 59.8% 40.2%Subtotal American Domestic

American Airlines

Central

Eastern

Mountain

Pacific

Texas




TABLE I-3– FINAL ORIGINATING FLIGHT ESTIMATES BY SAMPLE STRATA FOR EXPANSION (CONTINUED)

Yes No Yes No

Eastern, Central, Mountain, Pacific

6am/9am 31 27 58 53.4% 46.6%

Texas 6am/9am 29 1 30 96.7% 3.3%

Central 12pm 154 12 166 92.8% 7.2%

Eastern 12pm 76 2 78 97.4% 2.6%

Mountain 12pm 64 0 64 100.0% 0.0%

Texas 12pm 69 5 74 93.2% 6.8%

Eastern 3pm, 6pm 33 4 37 89.2% 10.8%

Central 3pm, 6pm 45 12 57 78.9% 21.1%

Mountain 3pm/6pm/12am 38 16 54 70.4% 29.6%

Pacific 3pm, 6pm 28 8 36 77.8% 22.2%

Texas 3pm/6pm/12am 37 26 63 58.7% 41.3%

604 113 717 84.2% 15.8%

Eastern 6am 31 0 31 0.0% 100.0%

Eastern 9am 96 16 112 12.5% 87.5%

Eastern 12pm 171 20 191 9.5% 90.5%

Eastern 3pm 117 21 138 13.2% 86.8%

Central/Mountain 6am 45 2 47 4.1% 95.9%

Central/Pacific 9am 27 5 32 13.5% 86.5%

Central 12pm 31 3 34 8.1% 91.9%

Mountain/Pacific 12pm 33 4 37 9.8% 90.2%

Central 3pm 24 3 27 10.0% 90.0%


6pm+12am 36 55 91 37.7% 62.3%

611 129 740 82.6% 17.4%

Total All Airlines All Destinations All Times 9,872 5,824 15,696 62.9% 37.1%

United

Subtotal United

Delta Air Lines

Subtotal Delta




I .6.4 Code Passenger Surveys into Sample Strata and Weight Surveys The originating passenger surveys were coded by airline, time period, and destination. The completed surveys were then summed by each sample stratum (as shown in Table I-3).

The actual weight is simply the reciprocal of the total completed surveys by originating passengers in each stratum to the total estimate of Originating Seats within each stratum. The calculation of the survey is shown below.

Available Seats (AVAIL_WGT): AVAIL_WGT = (Total Seats * Load Factors)

Total Seats - the total of all seats is estimated from the OAG data.

Originating Seats (ORIG_WGT): ORIG_WGT = AVAIL_WGT * Origination Factor

Origination Factor – the calculation of Origination Factor is discussed in Section 1.6.3 and its value for each stratum is shown in Table I-3.

Estimate of Daily Travel (DAY_WGT): DAY_WGT = ORIG_WGT / 56

To get daily weight, divide the weights into 56 sample days.

The results of the calculations are shown in Table I-4.

TABLE I-4 – FINAL CALCULATED WEIGHTS BY STRATUM2

2 Table I-4 includes surveys qualified as usable by NCTCOG

Airline Destination Time STRATA AVAIL_SEATS ORIG_SEATS SAMPLES ORIG_WGT DAY_WGT

5,460,253 3,292,318 8,380 436.55 7.80Eastern 6am 1 29,267 29,267 28 1,045.26 18.67Eastern 9am 2 34,256 4,282 78 54.90 0.98Eastern 12pm 3 30,101 2,860 154 18.57 0.33Eastern 3pm 4 29,889 3,945 111 35.54 0.63

Central/ Mountain 6am 5 15,130 620.31 39 15.91 0.28Central/ Pacific 9am 6 6,522 880.44 21 41.93 0.75

Central 12pm 7 6,077 492.21 27 18.23 0.33Mountain/ Pacific 12pm 8 13,073 1,281 22 58.23 1.04

Central 3pm 9 3,752 375.24 23 16.31 0.29Eastern, Central, Mountain, Pacific

6pm+12am10 10,735 4,047 10 404.72 7.23


6am/9am11 55,498 34,908 30 1,163.60 20.78

Texas 6am/9am 12 13,415 8,438 28 301.37 5.38Central 12pm 13 11,778 7,408 142 52.17 0.93Eastern 12pm 14 12,990 8,171 72 113.48 2.03

Mountain 12pm 15 5,212 3,278 58 56.53 1.01Texas 12pm 16 7,386 4,646 63 73.74 1.32

Eastern 3pm, 6pm 17 10,597 6,665 26 256.36 4.58Central 3pm, 6pm 18 13,432 8,449 37 228.34 4.08

Mountain 3pm/6pm/12am 19 13,995 8,803 37 237.91 4.25Pacific 3pm, 6pm 20 11,897 7,483 26 287.81 5.14Texas 3pm/6pm/12am 21 18,112 11,392 26 438.16 7.82

All

Delta Air Lines

United


TABLE I-4 – FINAL CALCULATED WEIGHTS BY STRATUM (CONTINUED)3



5,460,253 3,292,318 8,380 436.55 7.806am 22 118,378 102,989 141 730.42 13.049am 23 177,888 112,069 360 311.30 5.56

12pm 24 190,764 105,874 201 526.74 9.413pm 25 200,521 125,927 243 518.22 9.256pm 26 231,683 142,021 192 739.70 13.219pm 27 65,807 20,466 27 758.00 13.546am 28 217,099 173,245 324 534.71 9.559am 29 251,181 168,542 770 218.89 3.91

12pm 30 271,103 162,662 569 285.87 5.103pm 31 227,881 141,742 354 400.40 7.15

6pm + 9pm 32 354,892 210,096 323 650.45 11.62Hawaii 9am 33 33,825 22,561 67 336.73 6.01

6am 34 57,921 49,638 71 699.13 12.489am 35 80,482 56,821 210 270.57 4.83

12pm 36 86,885 40,662 171 237.79 4.253pm 37 63,826 44,040 42 1,048.58 18.726pm 38 63,145 30,689 42 730.68 13.059pm 39 47,154 19,522 41 476.14 8.506am 40 93,980 64,752 191 339.02 6.059am 41 162,794 89,537 264 339.15 6.06

12pm 42 110,103 61,547 134 459.31 8.203pm 43 171,546 92,463 164 563.80 10.076pm 44 125,836 73,237 62 1,181.24 21.099pm 45 63,853 29,053 36 807.03 14.416am 46 81,200 74,298 89 834.81 14.919am 47 97,784 48,892 153 319.56 5.71

12pm 48 109,156 57,089 136 419.77 7.503pm 49 130,119 68,182 228 299.04 5.346pm 50 102,234 58,069 180 322.61 5.769pm 51 88,329 18,902 55 343.68 6.14

Central, Eastern, Mountain

12am52 29,392 27,893 32 871.66 15.57

6am+12pm 53 12,511 10,634 29 366.69 6.553pm 54 7,905 4,451 23 193.50 3.466pm 55 9,411 6,456 19 339.77 6.07

Eastern All Times 56 21,032 16,342 56 291.82 5.21Mountain All Time Zones 57 3,961 3,442 2 1,720.88 30.73

6am 58 40,127 31,500 46 684.78 12.239am 59 175,031 77,539 117 662.72 11.83

12pm 60 64,015 26,438 59 448.10 8.003pm 61 107,077 50,540 133 380.00 6.796pm 62 67,384 47,910 116 413.02 7.389pm 63 67,518 45,710 114 400.96 7.16

Alaska Airlines Pacific

US Airways, Frontier, Boutique, Jet Blue

American and Sun Country International

International

All

American Airlines

Central

Eastern

Mountain

Pacific

Texas


TABLE I-4 – FINAL CALCULATED WEIGHTS BY STRATUM (CONTINUED)4



5,460,253 3,292,318 8,380 436.55 7.806am+9am 64 49,223 44,104 34 1,297.18 23.16

12pm 65 7,539 6,958 17 409.31 7.313pm 66 25,397 23,747 68 349.21 6.24

6pm+9pm 67 21,880 11,552 34 339.78 6.076am 68 45,682 39,789 49 812.03 14.509am 69 7,689 7,382 19 388.52 6.94

12pm 70 14,944 14,481 55 263.29 4.703pm 71 25,495 24,169 60 402.82 7.196pm 72 8,701 6,230 45 138.45 2.47

6am+9am 73 34,675 27,671 81 341.61 6.10

12pm 74 13,014 10,477 55 190.48 3.40

3pm 75 31,038 22,099 70 315.70 5.64

6pm+9pm 76 31,682 13,940 42 331.91 5.93

All Unassigned All All 77 107,446 67,583 106 637.58 11.39

Aeromexico, Air Canada, Avianca, British Airways,

Emirates, Etihad, Korean, Lufthansa,

Quanta's, Qatar, Volaris

International

Sun Country and Spirit Airlines Domestic

Central, Mountain, Pacific

Eastern

All


I.7 DataAnalysis

Unison used SPSS, Statistical Package for the Social Sciences, for survey analysis. Unison analyzed the survey data using standard statistical methods such as frequency and cross tabulation analysis. It is important to note in the analysis below, the figures and tables depict weighted data by “DAY_WGT” unless otherwise specified.

I.8 LessonsLearned

One of the challenges of conducting surveys at DFW is the time and resources required to obtain security badges. In order to conduct surveys in the airline gate rooms all interviewers must have proper security identification badges or be escorted. For several weeks, we were unclear about how many badges could be signed-off for the project, which delayed staff recruitment and the overall project schedule. It was our initial understanding that each interviewer could apply for a badge, which was the basis for our work plan and critical to our sampling plan. However, we were later informed only five badges could be issued for this project and the remaining interviewers must be escorted during survey administration. This change would result in a new sampling plan and a work strategy. After a few discussions between NCTCOG and DFW management staff, a decision was made that our team could obtain as many badges that would be required to execute the initial plan.

To help keep the project on track, CMI, who was our original subcontractor, had some interviewers on-staff that had DFW security badges through existing survey projects at DFW. These interviewers were able to start conducting surveys while we waited for the others to obtain badges. The badging process took several additional weeks and multiple trips to the airport: each interviewer was required to fill out an application, obtain an authorized signature, make an appointment to submit fingerprints, and another appointment to pick up the badge. Meanwhile, the initial group of CMI interviewers who were conducting the NCTCOG surveys was asked to perform other DFW marketing surveys and was no longer available for this project. In November 2015, Unison enlisted the help of another local market research firm, National Service Research, to assist in survey administration.

Between November and December 2015, CMI and NSR simultaneously conducted surveys at DFW. Unison managed two sets of schedules as well as coordinated sharing electronic survey tablets between the firms. Survey administration lasted 56 days, from September 2015 to February 2016, excluding weekends and the holiday season due to high employee turnover. Further, it had come to our attention that CMI’s DBE certification expired in January 2016, Unison decided to proceed with NSR as the sole subcontractor.

An important lesson learned is that collecting a sample, which was stratified by three different targets – by destination zone, time period, and airline – posed some challenges with respect to weighting and survey administration. For example, some sample sizes were too small (i.e. the margin of error was beyond acceptable statistical standards) and thus these samples were combined to make the data more meaningful.

In terms of survey administration, collecting a sample according to various targets required significant resources and time. Survey interviewers targeted specific flights to ensure sampling targets were achieved, which resulted in oversampling certain targets. Because of the various sample targets, data collection took 56 total days to be completed, which also required close coordination between the NCTCOG project team and DFW’s marketing department to ensure NCTCOG surveys did not impede survey efforts conducted directly by DFW Airport. For future surveys, it is recommended that the sampling plan be based on the required analysis rather than three different targets.

In development of the questionnaire, there was some questions that did not capture the information as originally intended. One case of this was asking for trying to determine the number of people and number of vehicles on


each trip to the airport. To capture this information, it was suggested to use the term well-wishers, which will encompass those friends and family who may bring you to the airport, but may not encompass others in the car in the case of a shuttle, or ride-share service. In future surveys, better attention should be paid to the wording of this question. Another case was the travel time to the airport. This question was designed to give an idea of the estimated travel time to the airport and a way to compare about travel times calculated in the regional travel mode from zone to zone. Only 26 surveys included a response to this question. In future surveys, this should be listed as a required question to define whether a survey is complete.

Summary2015 Dalla

II. D

At DFWpassengesurveys NCTCOsurveys,

TABLE II-

II.1 O

The relain Figure9:00 p.mpercent a9:00 am 9:00 a.mperiod ar

FIGURE I

Surve

Origina

Connec

Total


Data Col

W, the survey teers and 37 percollected, app

OG. The discuand the origin

1- SURVEYS C

Originating

ationship of orie II-1. Of the

m. or later: 60 pare originatingare originatin

m. to 6:00 p.m.re primarily or

I-1– ORIGINAT

ey Collected

ating

cting


lected

eam collected rcent (5,824) froximately 84ssion in this chn of the trip to

OLLECTED

gversusCo

iginating passtotal surveys

percent of all pg. A large majng at DFW. Be

are originatinriginating at D

TING VERSUS C

Frequen

6

3

nger Survey

a total of 15,7from connectin4 percent (8,37hapter describDFW.

onnecting

engers versus collected, the passengers depjority of passeetween 63 to 6ng. Further, paDFW: 58 perce

CONNECTING P

ncy Count

63% 9,87

37% 5,82

15,69

775 surveys ofng passengers79) are qualifiebes notable fin

byTimeof

connecting patime period w

parting DFW dngers (betwee

64 percent of passengers scheent compared t

PASSENGERS B

t

72

24

96

f which 63 peras shown in T

ed as usable afndings regardin

fDay(Unw

assenger survewith the largesduring this timen 81 to 91 perpassengers scheduled to depato 42 percent w

BY TIME OF DA

rcent (9,872) aTable II-1. Of fter review by ng the origin v

weightedD

eyed by time ot proportion o

me period are crcent) schedul

heduled to depart during the 6who are conne

AY (N=15,696

P a

are from originf the 9,872 origUnison and

vs connecting

Data)

of day is displf connections

connecting anded to depart beart between th6:00 p.m. timeecting at DFW

)

g e | 15

nating ginating

layed is

d 40 efore

he e-

W.

Summary2015 Dalla

II.2 O

Usable ocollectedTwenty-

FIGURE I

II.3 O

Schedulethe usab

TABLE II-Time


Originating

originating surd in November-three percent w

I-2– SURVEYS B

Originating

ed flights werele originating

2– SURVEYS BY

e of Day Perio

12am

6am

9am

12pm

3pm

6pm

9pm


gRecordsC

rveys collectedr (50 percent).was collected

BY MONTH (N

gPassenge

e grouped intopassenger sur

Y TIME OF DAY

od Time

12:00‐5

6:00‐8

9:00‐11

12:00‐2

3:00‐5

6:00‐8

9:00‐11

nger Survey

Collectedb

d by month ar Eleven percein January and

=8,379)

ers‐Recor

o seven time ofrveys.

Y (N=8,379)of Day

5:59 am

8:59 am

1:59 am

2:59 pm

:59 pm

:59 pm

1:59 pm

byMonth(

re displayed inent was collectd another two

rdsbyTime

f day periods.

Frequency

1%

12%

27%

23%

20%

13%

4%

(Unweight

n Figure II-2. Tted in Octoberpercent in Feb

eofDay(U

Table II-2 sh

Count

42

1,028

2,267

1,969

1,653

1,121

299

tedData)

The majority or and 14 percebruary.

Unweighte

hows the unwe

P a

of surveys werent in Decembe

edData)

eighted time gr

g e | 16

re er.

roupings of


II.4 OriginatingPassengersByAirline(UnweightedData)

Table II-3 shows the number of usable surveys completed by originating passengers for the 10 airlines with the largest market share at DFW. The majority of surveys are completed by passengers traveling with American Airlines (77 percent). United Airlines passengers represent seven percent and Delta Airlines passengers represent six percent of the sample. Spirit Airlines represents the fourth largest market share with four percent of passengers. The remaining airlines – Alaska, Emirates, Aeromexico, JetBlue, Frontier, and British Airways - each account for one percent or less of the total sample of originating passengers.

TABLE II-3– SURVEYS BY TOP 10 AIRLINES (N=8,379)

Airline Frequency

American Airlines 77%

United Airlines 7%

Delta Air Lines 6%

Spirit Airlines 4%

Alaska Airlines 1%

Emirates 1%

Aeromexico 1%

JetBlue Airways Corporation 1%

Frontier Airlines Inc. 0.5%

British Airways 0.4%

Summary2015 Dalla

II.5 D

Figure IITexas, E

The majpercent tpassengeflights arall seven

FIGURE I


Destination

I-3 shows the Eastern, Centra

ority of flightto the Pacific zers headed to Tre headed to Hn destination z

I-3- DESTINATIO


nMap(Un

destination zoal, Mountain,

s are destined zone. FurtherTexas, MountaHawaii/ Alaskazones.

ON ZONE MAP

nger Survey

weightedD

ones defined foPacific, Hawa

for the Easterr, the sample oain and Internaa. It is import

P (N=8,379)

Data)

for flights depaaii/Alaska, and

rn zone (38 peof data collecteational destinatant to note, A

arting DFW. Td International

ercent), 18 pered shows a fairation zones: 9

American Airli

There are sevel.

rcent to the Cerly even split ato 11 percent.

ines is the only

P a

en destination

entral zone, anamong origina. One percent y airline that s

g e | 18

n zones:

nd 13 ating of

serves


II.6 OriginatingPassengers‐RecordsbyDestinationZone(UnweightedData)

Table II-4 shows unweighted data for the top four airlines, in terms of market share, and destination zone. American Airlines has a sample from each of the possible destination zones. The top four destination zones for America Airline passengers are Eastern, Central, Pacific, and Texas. The majority of Delta Airlines flights are headed to the Eastern zone (73 percent), followed by the Central, Mountain, and Pacific zones. Spirit Airlines offers flights to four U.S. zones (Central, Eastern, Mountain, and Pacific) and the International zone. United Airlines travels to five U.S. zones including Central, Texas, Eastern, Mountain, and Pacific.

TABLE II-4 – SURVEYS FOR TOP 4 AIRLINES AND DESTINATION ZONE (N=7,907)

Zone By Airline

American Airlines: n=6,455

Central 18%

Eastern 36%

Hawaii 1%

International 9%

Mountain 9%

Pacific 13%

Texas 13%

Delta Airlines: n=532

Central 18%

Eastern 73%

Mountain 7%

Pacific 2%

Spirit Airlines: n=375

Central 11%

Eastern 61%

International 1%

Mountain 5%

Pacific 23%

United Airlines: n=545

Central 34%

Eastern 19%

Mountain 19%

Pacific 6%

Texas 21%


II.7 OriginatingPassengers‐RecordsbyTopDestination(UnweightedData)The top 10 destinations are shown in Table II-5. Chicago O’Hare International Airport is the top destination, followed by Atlanta-Hartsfield International Airport. The next three destinations that account for three percent of originating passengers are Denver International, Charlotte-Douglas International Airport, and Boston Logan Airport. The last four destinations that account for two percent are Philadelphia International Airport, New York La Guardia Airport, Houston George Bush Intercontinental Airport, and Phoenix Sky-Harbor International Airport.

TABLE II-5– TOP 10 DESTINATIONS (N=8,379) Destination Frequency

Chicago O'Hare International Airport 6%

Atlanta Hartsfield International Airport 5%

Los Angeles International Airport 4%

Denver International Airport 3%

Charlotte‐Douglas International Airport 3%

Boston Logan International Airport 3%

Philadelphia International Airport 2%

New York La Guardia Airport 2%

Houston George Bush Intercontinental 2%

Phoenix Sky‐Harbor International Airport 2%

Summary2015 Dalla

II.8 A

To deterto the aMetropleto providpoint of were asklandmarkmatchingcoordina

Figure IIpercent) was defiEllis, Hoanother a

FIGURE I

Figure IIdirectly


AreaofOrig

rmine originatiairport for the cex? Within 10de the address origination an

ked to provide ks. These effog addresses. Tates.

I-4 shows weitraveled to the

ined as the 12 ood, Hunt, Joharea in Texas

I-4– LOCATIO

I-5 shows a mto DFW from


igination

ion, surveyorscurrent flight. 0 miles from tof his or her o

nd correspondiany informati

orts collected tThen all valid a

ighted data rege airport from county area of

hnson, Kaufmabut outside the

N OF TRIP ORIG

map of the weigm the 12-county

nger Survey

asked passeng First, the surv

the airport.” Iforigin, cross sting city and zipion available athousands of vaddresses or c

garding the loca location ins

f North Centraan, Parker, Roe Metroplex, a

GIN (N=8,302

ghted originaty area. Table

gers several quveyor asked “If a respondent treets, or the np code. Passe

about their tripverbatim respoross streets we

cation of the trside the Dallasal Texas whichckwall, Tarranand two percen

2)

ion data by zipII-6 display th

uestions aboutIs the locationanswered “Y

name of a landengers who resp origin such aonses, which were geocoded i

trip origin. Ths Fort Worth (h includes the nt, and Wise. nt originated o

p code, whichhe Origination

t the starting lon in the Dallas Yes,” the survedmark, businesponded “No”as address, crowere each reseinto latitude an

he majority of (“DFW”) Metrcounties of CFive percent o

outside of Tex

h only includesn by County.

P a

ocation of theiFort Worth

eyor asked himss, or hotel ne” or “Don’t knss streets, andarched to findnd longitude

passengers (9roplex. The Mollin, Dallas, Doriginated fromxas.

s passengers w

g e | 21

ir trip

m or her ear the now” d/or

d

3 Metroplex

Denton, m

who traveled

Summary2015 Dalla

FIGURE I

TABLE II-

Collin

Dallas

Denton

Ellis

Hood

Hunt

Johnso

Kaufma

Parker

Rockwa

Tarrant

Wise

Other C

Other C


I-5– ORIGINAT

6– ORIGINATIO

Origin Cou

n

n

an

all

t

County (Texa

County (Outs


TION BY ZIP CO

ON BY COUNT

unty

as)

side Texas)

nger Survey

ODE (N=8,302

TY

Frequency

10.0

38.7

9.0

0.7

0.3

0.2

0.5

0.5

0.7

0.4

31.7

0.2

5.4

1.6

2)

y

0%

7%

0%

7%

3%

2%

5%

5%

7%

4%

7%

2%

4%

6%

P a g e | 22

Summary2015 Dalla

II.9 O

Figure IIfrom thebusinessDallas C

FIGURE I

Work/com


Origination

I-6 shows weieir home (52 ps, or a companyConvention Ce

I-6– WHERE D

/ business/ mpany12%

Hotel/ mot26%

Findings Originating Passe

nLocation

ighted data forercent). Anothy. Nine percenter or anothe

ID YOU COME

Someone elseresidence

9%

el

DalConveCen.5%

enger Survey

Type

r origination loher 26 percent

ent originate frr location.

FROM PRIOR T

e's

las ention ter%

O

ocation type. t originate fromrom someone e

TO ARRIVING A

Other1%

The largest sum a hotel/moteelse’s residenc

AT THE AIRPORT

My 5

ubgroup of pasel and 12 percce and less tha

T TODAY? (N=

home52%

P a

ssengers origincent from workan 2 percent fr

=8,379)

g e | 20

nates k, a rom the

Summary2015 Dalla

III. T

In this sebehaviorpassenge

III.1 T

III.1

FigursevenSevenhotel/an airchart

FIGUR

III.1For ptranspor moparkepossiperceas thetime/perce


Trip Cha

ection, responsr of passengerser demographi

Triptothe

.1 Mode

re III-1 displayn percent of ornteen percent /motel shuttle rport shuttle (eer bus or orga

RE III-1– WHAT

.2 Reasonpassengers whoportation, we aore answers toers chose comfible respondenentage of non-pe reason for ch/ was running lent indicate nu


aracteri

ses to trip chars, including deics, and house

Airport

of Transp

ys the primaryriginating passused a rental vand five percee.g. Super Shu

anized bus, or o

T WAS YOUR PR

n for Transo used a privatasked “Why d

o this question.fort and conve

nts. Cost and parkers chosehoosing their mlate or size of

umber of lugga

enger Survey

stics

racteristics suretails about thehold demogra

ortation

y mode of transengers used avehicle and ninent used a ridesuttle or Prime other mode of

RIMARY MODE

sportationte vehicle but

did you choose. Their responenience (63 pereliability wer

e travel time (1mode of transptravel party as

age or another

rvey are presene trip to the ai

aphics.

nsportation to ta private vehiclne percent usesharing serviceTime). One p

f transportation

E OF TRANSPOR

n Choicedid not park a

e this mode ofnses are displaercent). Personre each specifi12 percent) orportation to DFs reasons for threason as to w

nted. Trip chairport, parking

the airport forle as their mod

ed a taxi/limoue such as Uberpercent each un to travel to D

RTATION TO TH

as well as passf transportationayed in Figure nal preferenceied between 23personal vehi

FW. Another heir mode of t

why they selec

aracteristics deg, details of th

r originating pde of transport

usine. Seven per or Lyft. Two

used the DARTDFW.

E AIRPORT? (N

sengers using on?” They wereIII-2. The largwas chosen by3 and 24 perceicle was not avone percent etransportation.cted their mode

P a

escribe the travhe airline trip,

passengers. Fitation to DFWercent used a o percent eachT light rail/bu

N=8,379)

other modes ofe allowed to segest subgroupy 36 percent oent. Almost anvailable (11 peeach chose lac. And almost te of transporta

g e | 21

vel

ifty-W.

h used s, a

f elect 1 of non-

of n equal ercent) ck of two ation.

Summary2015 Dalla

FIGUR

III.1To lealone“yes, other

FIGUR


RE III-2- WHY D

.3 Numbeearn about trave?” A summary

they are travers came to see

RE III-3- DID YO


DID YOU SELEC

er of Persovel party size, ty of their resp

eling alone” anthem off.

OU COME TO T

enger Survey

CT THIS MODE O

ons Travelthe survey firsonses are show

nd the remainin

THE AIRPORT A

OF TRANSPORT

ing to thest asked passenwn in Figure Ing 31 percent

ALONE TODAY?

TATION? SELEC

e Airport ngers “Did youIII-3. The masaid they are

? (N=8,312)

CT ALL THAT AP

u come to the ajority (69 pertraveling with

P a

PPLY. ( N=6,1

airport rcent) said h others or

g e | 22

96)


To better determine the size of the travel party (number of passengers traveling), the survey asked all passengers “How many others are traveling with you? (including yourself).” Of total responses, 71 percent are traveling alone. Twenty percent have a travel party size of two people (respondent and another traveler). Five percent are traveling with two others (travel party size is three people), two percent with three other passengers (travel party size is four), and two percent are traveling with four or more other passengers (travel party size is five or more). The weighted average is 2.7 people and the weighted median is 2.0 people. A table of these results can be viewed in Table III-1.

TABLE III-1- HOW MANY PEOPLE ARE TRAVELING WITH YOU, INCLUDING YOURSELF? (N=8,310)

We asked passengers who came to the airport with others “How many people came to the airport to see you off today?” The majority of passengers did not have a well-wisher see them off at DFW (79 percent). Sixteen percent had one well-wisher see them off and three percent had two well-wishers accompany them to the airport. Another one percent of passengers had three or more people see them off at the airport. The weighted average is 0.3 well-wishers and weighted median is 0.0. The full results of this question is listed in Table III-2.

TABLE III-2- HOW MANY PEOPLE CAME TO THE AIRPORT TO SEE YOU OFF? (N=2,433)

# of People (including self) Frequency Count

1 71% 6,015

2 20% 1,566

3 5% 400

4 2% 187

5+ 2% 142

# of Well‐Wishers Frequency Count

None 79% 1,933

1 16% 396

2 3% 85

3 or more 1% 20

Summary2015 Dalla

III.1Passeairpoone v

The sthis g

FIGUR

III.1Table

TABLE

Time

1

1

Av


.4 Vehicleengers who camort in one vehicvehicle. The r

sample size ofgroup, 84 perc

RE III-4- DID YO

.5 Occupe III-3 below s

E III-3- NUMBE

e Period O

6am

9am

12pm

3pm

6pm

9pm

12am

verage


es Travelime to the airpocle?” Ninety-sresponses are d

f passengers whent came in tw

OUR PARTY CO

pancy by shows the aver

R OF PEOPLE I

Occupancy of

nger Survey

ng to theort with othersseven percent displayed in F

ho came to thewo vehicles an

OME TO THE AI

Time of Drage vehicle oc

N VEHICLE BY T

f Trip to the A

2.3

2.2

2.3

2.2

2.3

2.2

2.4

2.3

Airport s in a private vcame in one vigure III-4.

e airport in mod 16 percent c

RPORT IN ONE

Day – Numccupancy of th

TIME OF DAY (

Airport

vehicle were avehicle, and on

ore than one vcame to the air

E VEHICLE (USE

mber of Phe trip to the a

(N=2,432)

asked, “Did yonly three perce

vehicle is relatirport in three o

ERS OF PRIVAT

eople byairport by time

P a

our party comeent came in mo

ively small (n=or more vehicl

TE VEHICLES) (N

Vehicle e of day.

a g e | 24

e to the ore than

=73). Of les.

N=2,432)

Summary2015 Dalla

III.2

III.2

The ppasseand dDFWaccouthe Pand F

FIGUR

III.2The sparticrespopassecommfive pchoicimpoaccou


ParkingC

.1 Parking

parking locatioengers who usedid not park. T

W Remote/Econunted for seve

Parking Spot anFly or another

RE III-5– WHER

.2 Reasonsurvey asked pcular lot; their onse. The mosengers who pamon reason forpercent said lace. Three percrtant to note thunt for less tha


Characteri

g Locatio

on of passengeed a private ve

The remaining nomy Parking

en percent of thnd DFW Airplot. Overall,

RE IS THE CAR P

n for Parkpassengers whresponses are

st common resarked. Cost, sr selecting a sp

ack of time/ runcent of passenghat size of travan 1 percent.

nger Survey

istics

n

ers who used aehicle as their49 percent par

g, closely followhe private vehort Valet. An90% of those

PARKED? (IF PR

ing Choico parked to sedisplayed in F

sponse was comelected by 45 pecific parkingnning late, andgers who parkvel party or nu

a private vehicmode of transrked their privwed by the DF

hicles being pand another two

who parked u

RIVATE VEHICLE

ce elect all of theFigure III-6. Tmfort and conpercent of theg lot. Coveredd two percent ked indicate anumber of bags

cle are describsportation, 51 pvate vehicle. TFW’s terminalarked. Three po percent of paused a parking

E WAS USED) (N

reasons why tThe passengersnvenience, whie passengers wd parking wasindicate travelnother reason did not impac

bed in Figure Ipercent were d

The most utilizl parking garagpercent of pasassengers whog lot operated b

N=4,662)

they decided tos were allowedich was selecte

who parked, was chosen by 12l time as reasofor their parki

ct passengers’

P a

III-5. Of the 4dropped off atzed parking lotge. DFW Exp

ssengers each uo parked used Pby DFW Airpo

o park at that d to select moed by 63 perceas the second m2 percent of paons for his/her ing choice. Itparking decisi

a g e | 25

4,662 t DFW t is press utilized Park ort.

re than 1 ent of most arkers, parking is

ion and

Summary2015 Dalla

FIGUR

III.2The spay f$10.0per d

FIGUR

5 Size of trave


RE III-6– IF YOU

.3 Cost ofsurvey asked pfor parking per00, 24 percent day for parking

RE III-7– COST

el party and nu


U PARKED, WH

f Parking passengers whr day?” Their reported betw

g. The average

T OF PARKING

umber of lugga

nger Survey

Y DID YOU PAR

o parked to giresponses are

ween $10.00 toe parking cost p

PER DAY (N=2

ge account for

RK THERE? SEL

ive us their bese shown in Figo $15.00, and 4per day was ap

2,162)

r less than one

LECT ALL THAT A

st estimate reggure III-7. Thi40 percent reppproximately $

percent

APPLY. ( N=2

garding “How irty-six percen

port paying mo$15.16.

P a

2,183)5

much will yount said less thaore than $15.00

a g e | 26

u an 0

Summary2015 Dalla

III.2The smajopasseall or

III.2As shbusinpasseget re

FIGUR

III.3 A

III.3

Figurof paor plecolleg


.4 Reimbusurvey asked prity (58 percen

engers will getriginating pass

.5 Reimbuhown in Figureness-related puengers travelineimbursed for

RE III-8– REIMB

AirlineTrip

.1 Purpos

re III-9 displayassengers are treasure and 19 ge or for other


ursement passengers abont) will be reit full reimburssengers are tra

ursement e III-8, cross t

urposes will beng for all non-btransportation

BURSEMENT BY

p

e of Trave

ys the primaryraveling for bupercent are vir purposes. Le

nger Survey

out parking or imbursed for psement (100 paveling for bus

by Trip Pabulation anal

e reimbursed fobusiness relaten or parking.

TRIP PURPOSE

el

y purpose of thusiness-relatedsiting friends oess than one pe

transportationparking or tranpercent) for trasiness-related r

urpose lysis reveals thfor transportatied purposes, su

E (N=5,183)

he airline trip fd purposes. Twor family. Onercent are trav

n reimbursemensportation. Fuansportation exreasons, these

hat 88 percention or parkinguch as vacation

for the originatwenty-four perne percent of pveling for milit

ent for the trip urther, over 98xpenses. Consresults are no

of passengers. Meanwhile, n or visiting fa

ting passengerrcent are trave

passengers eactary reasons.

P a

to the airport.8 percent of thsidering about

ot surprising.

traveling for only five percamily/ friends,

r. Fifty-four peling for the vah are traveling

a g e | 27

The hese t half of

ent of , will

percent acation g to/from

Summary2015 Dalla

FIGUR

III.3Figurearly the on

FIGUR


RE III-9– WHAT

.2 Purposre III-10 showmorning fligh

nly one where

RE III-10– TRIP


T IS THE PRIMAR

e of Travews the Trip Purphts: 12:00 a.m. a majority of

PURPOSE AND

nger Survey

RY PURPOSE O

el by Timepose by Time . to 6:00 a.m. apassengers are

D TIME OF DAY

F YOUR TRIP? (

e of Day of Day Periodare business tre non-business

Y(N=8,379)

(N=8,379)

Period d. A large majravelers. Thes travelers.

jority of passe9:00 p.m. or l

P a

engers travelinater time perio

a g e | 28

ng on od is

Summary2015 Dalla

III.3The shomeday ttwo tfrom

FIGU(N=8


.3 Trip Dusurvey asked pe on this trip?rips of one dato three days ahome for mor

RE III-11- HOW8,360)


ration passengers abo” Their respoy or less. The

and 30 percentre than five da

W MANY DAYS

nger Survey

out trip durationses are repre

e largest sub-gt for four to fivays.

HAVE YOU OR

on: “How manesented in Figugroup of passeve days. Twen

R WILL YOU BE A

ny days have yure III-11. Onengers (39 percnty-five perce

AWAY FROM H

you or will younly six percentcent) will be a

ent of passenge

HOME ON THIS

P a

u be away fromt of passengeraway from homers will be awa

TRIP?

a g e | 29

m rs have me for ay

Summary2015 Dalla

IV. De

IV.1 GFigure IVpercent)

FIGURE IV

IV.1The rmalesMeantravecomp

FIGUR


emograph

GenderV-1 shows theamong origin

V-1- GENDER

.1 Genderelationship bes are travelingnwhile, a largel – such as vac

pared to male p

RE IV-2- GEND


hic Char

e gender of thenating passenge

? (N=8,357)

er by Purpetween gender for business r

er percentage ocation/ pleasurpassengers (34

DER AND TRIP P

nger Survey

acterist

e survey responers.

pose r and trip purprelated purposeof female passre, visiting fam4 percent).

PURPOSE (N=8

tics

ndents. There

pose is providees (66 percentengers (63 per

mily/ friends, tr

8,357)

e are more mal

ed in Figure IVt) compared torcent) are travraveling to/ fro

les (59 percent

V-2. A larger o females (37 peling for non-bom college, or

P a

t) than female

percentage ofpercent). business relater other reasons

a g e | 30

es (41

f

ed s

Summary2015 Dalla

IV.2 AThe age between50 to 64 survey w

FIGURE IV

IV.3 EFigure IV(78 percemployepercentastudents

FIGURE IV


Ageof originating

n 35 to 64 yearyears old. Sev

was only admin

V-3- PLEASE S

EmploymenV-4 shows a cent) are emplo

ed and not lookage of unemplo

and Two perc

V-4- ARE YOU


g passengers iss old; 35 perceven percent arnistered to peo

ELECT YOUR A

ntStatuschart of the emoyed full-time.king for work;oyed passengecent state “oth

U: (N=8,195)

nger Survey

s displayed in ent are betweee 65 or older.ople with a mi

GE BRACKET.

mployment stat. Six percent o; this categoryers – those lookher” as their em

Figure IV-3. en the ages of 3Nearly 30 pernimum age of

( N=8,234)

tus of the origof passengers

y includes peopking for workmployment.

The largest su35 to 49 and 2rcent are betwef 16.

ginating passenare employedple who are un– is low at tw

ubgroups of pa29 percent areeen 16 and 34

ngers. The mapart-time. Te

npaid caregivewo percent. T

P a

assengers are e between the a

years old. Th

ajority of passeen percent areers or retired.

Three percent a

a g e | 31

ages of he

engers not The

are

Summary2015 Dalla

IV.4 EThe survWhite anup 10 peand Nati

FIGURE IV


Ethnicityvey asked passnd the next larercent of the paive Hawaiian/

V-5- ARE YOU


sengers their etrgest subgroupassengers survPacific Island

U: ( N=8,218)

nger Survey

thnicity; their p is Black/ Afrveyed, six perder and “Other”

responses are rican Americanrcent are Asian” make up one

presented in Fn (12 percent)n, two percent e percent each

Figure IV-5. S). Hispanic/ LAmerican Ind

h of the passen

P a

Sixty-eight perLatino passengedian/ Alaska Nnger responden

a g e | 32

rcent are ers make

Native, nts.

Summary2015 Dalla

V. H

V.1 H

We askeprovidedvehicles percent hpercent o

TABLE V-

FIGURE V

V.1Tablepassemost

A

M


Househol

Household

ed passengers d in Table V-1per household

have two vehicof respondents

-1- HOW MAN

V-1- HOW MA

.1 Househe V-2 presentsengers who rescommon mod

Average – 2.3

Median – 2.0


ld Demog

Vehicles

“How many v1 and Figure Vd. One percencles, and twens have five or m

NY VEHICLES AR

NY VEHICLES A

hold Vehis cross tabulatiside in the statde of transporta

nger Survey

graphics

vehicles are avV-1. The averant don’t have anty percent havmore vehicles

RE AVAILABLE I

ARE AVAILABLE

cles by Mion data by moe of Texas. Foation to the air

vailable in youage was 2.3 veany householdve three vehicl available in h

N YOUR HOUS

IN YOUR HOUS

Mode ode of transporor each categorport was using

ur household?”ehicles per ho

d vehicles. Eigles. Six percehis/her househ

EHOLD? ( N=

SEHOLD? ( N=

rtation and nuory of number g a private veh

” A presentatiousehold and thghteen percentnt have four vold.

=7,504)

=7,504)

umber of vehicof vehicles in

hicle.

P a

on of the resphe median wat have one veh

vehicles and th

cles by househn the household

a g e | 33

onses is as 2.0 hicle, 52 hree

hold for d, the

Summary2015 Dalla

TABLE

V.2 HThe survFigure V2.0 peop

TABLE V-

FIGURE V

Mod

Priva

Rent

Hote

Dart

Taxi

Airp

Ride

Char

Othe

Sam


E V-2- HOUSEH

Householdvey asked passV-2 represent aple. The larges

-3- HOW MAN

V-2- HOW MA

de of Transpo

ate vehicle

tal vehicle

el/motel shu

t light rail/ bu

/ limousine

port shuttle

esharing (Ube

rter/ organize

er

mple Size

Average – 2.

Median – 2.0


HOLD VEHICLE

Sizesengers “Includa summary of t subgroup (38

NY PEOPLE LIVE

NY PEOPLE LIV

ortation

5

4

ttle

us

er)

ed bus

8

0

nger Survey

ES AND MODE

ding yourself,the responses

8 percent) is tw

E IN YOUR HOUS

E IN YOUR HOU

0 1

54% 49%

46% 22%

0% 11%

0% 3%

0% 9%

0% 1%

0% 4%

0% 0%

0% 1%

2 10

Nu

OF TRANSPO

how many pe to the questiowo people. On

SEHOLD? ( N=

USEHOLD? ( N

1 2

% 47%

% 16%

% 12%

% 1%

% 14%

% 4%

% 5%

% 1%

% 1%

01 274

umber of Ve

ORTATION – T

eople live in yoon. The averagnly 13 percent

=7,488)

N=7,488)

3

60%

20%

7%

0%

7%

3%

3%

0%

0%

101

hicles in Hou

TEXAS RESIDENT

our householdge was 2.8 peot of responden

4 5

60%

17%

8%

0%

0%

12%

3%

0%

0%

34

usehold

P a

TS (N=536)

d?” Table V-3ople and the mnts live alone.

5 or more

34%

10%

30%

4%

0%

10%

11%

0%

0%

24

a g e | 34

and median

Summary2015 Dalla

Table V-alone traalone is

TABLE V-

V.3 AThe survpresentedreportingpercent rThirteen

FIGURE V( N=6,0

V.3Crosshouseand a

Travel

Mor


-4 shows a croavel alone. Forsignificantly s

-4- TRAVEL PAR

AnnualIncvey asked passd in Figure V-g incomes of $report incomes

n percent repor

V-3- WHICH C

066)

.1 Incomes tabulation anehold annual ianother 30 per

Party Size:

1

2

3

4

5

re than 5


oss-tabulation or passengers wmaller at five t

RTY SIZE AND HO

omesengers to prov-3. Half of the$150,000 or ms between $75rt incomes of l

CATEGORY BEST

e by Trip nalysis reveals ncomes. Thirtcent report inc

1

11%

64%

10%

10%

1%

4%

nger Survey

of travel party who live in a hoto six percent.

OW MANY PEO

vide their annue passengers re

more and 26% r5,000 and $99,ess than $50,0

T DESCRIBES YO

Purpose the majority o

ty percent of bcomes between

2 3

6% 6%

74% 54

11% 27

6% 8%

1% 1%

2% 3%

# of People

size and housousehold of tw

PLE LIVE IN YO

ual gross houseport househoreporting inco999 and 18%

000.

OUR TOTAL AN

of passengers tbusiness passen $100,000 an

3 4

% 5%

4% 58%

7% 18%

% 14%

% 2%

% 3%

e Living in Yo

sehold size. Elwo or more peo

UR HOUSEHOL

sehold income;old incomes ofomes between

report income

NUAL HOUSEH

traveling for bengers report innd $149,999. T

5

5%

% 43%

% 21%

% 9%

14%

8%

our Househol

leven percent oople, the perce

LD? ( N=7,48

; the responsesf $100,000 or m$100,000 and

es of $50,000 t

OLD INCOME

business relatencomes of $15The percentag

More than

5%

61%

14%

8%

5%

7%

d

P a

of passengers wentage of those

8)

s to this questimore with 24%$149,999. Ni

to $74,999 ann

(BEFORE TAXES

ed reasons have50,000 or morge of passenger

n 5

a g e | 35

who live e traveling

ion are % ineteen nually.

S)?

e high re rs

Summary2015 Dalla

trave20 peincomreasoV-4.

FIGUR


ling for non-bercent have incmes under $25ons (8%) have

RE V-4- TOTAL


usiness relatedcomes between,000. Meanwincomes of le

ANNUAL HOU

nger Survey

d purposes is sn $100,000 an

while a larger pss than $25,00

SEHOLD INCO

smaller: 17 pernd $149,999. Opercentage of p00. The full cr

ME AND TRIP P

rcent have incOnly two percpassengers travross tabulation

PURPOSE (N=

comes of $150cent of businesveling for nonn analysis can

6,066)

P a

0,000 or more ass passengers rn-business rela

be seen in Fig

a g e | 36

and report

ated gure

Summary2015 Dalla

V.4 HAfter UnTexas - Odefined aresides inDFW Mreside ou

FIGURE V


HomeLocanison geocodeOutside Metroas a 12 countynside the DFW

Metroplex. Thirutside of the U

V-5- WHERE IS


ationd home addres

oplex, US (noty area, and is dW Metroplex. rty-seven perc

U.S. The break

YOUR HOME R

nger Survey

ss, they categot Texas), and Indescribed in SeAnother nine

cent of passengkdown of the re

RESIDENCE? (N

orized responsnternational (Oection II.8. Thpercent reside

gers reside outesponses is dis

N=8,379)

ses into four caOutside of thehe largest subge inside the sttside of Texassplayed in Fig

ategories: insidU.S.). The D

group (49 perctate of Texas bs in another sta

gure V-5.

P a

de DFW MetrDFW Metroplexcent) of passenbut outside of tate, and five p

a g e | 37

roplex, x was

ngers the

percent


Appendix A- Survey Questionnaire

04-2

7-20

16

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04-2

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04-2

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058

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