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Use Survey to Improve the DFX Transit Model
Hua Yang, NCTCOG Hong Zheng, NCTCOG Kathy Yu, NCTCOG
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Outline 2014 transit on-board survey
Comparison between model and survey Investigate specific line – TRE Access/egress time Some improvements Conclusion and future
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Transit on-board survey
2014 Conducted by NCTCOG, DART, DCTA, and The T (FWTA) Encompassed all fixed-route transit services in the twelve county modeling area On-to-Off Survey recorded location where an individual rider boarded and alighted Onboard survey conducted as a personal interview collected one- way trip mode and locations; fare/payment information; and socio- economic and demographic information
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Public Transportation Authority Service Area
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On-Board Survey The purpose of this project is to gather updated travel behavior data from transit users in the Dallas / Fort Worth metropolitan area Number of routes: 196 Light rail, commuter rail, express bus, local bus, feeder bus, UNT Shuttles Number of records: 35,531weekday; 1,404 weekend Sample rate: 10% Response Rate: ~85% Total ridership: 262,145
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On-Board Survey The final database includes the following:
One-Way Trip Origin, Destination, Boarding Location and Alighting Locations Bus Routes/Rail Lines used in one-way trip Mode, Trip Purpose Fare – type of pass, duration of pass, reimbursement amount Person Demographics: Age, Sex, Race/Ethnicity, Employment Status, Student Status, Resident or Visitor, Drivers License Household Demographics: HH Income, HH Size, # Workers, # HH Vehicles
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Statistics Ridership (all lines) 247,501 257,515 R^2 0.96 %RMSE 51%
Survey Model Statistics Ridership (all lines) 247,501 257,515 R^2 0.96 %RMSE 51%
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Overall data comparison
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Overall data comparison
THET 1 DART 486 DART 183 DART 428 DART 409 DART 400 DART 501 DART 350 Spur DART164 DART467 DART466
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Geographical location
Red: overestimate Blue: underestimate Possible reasons.
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North Dallas Red: overestimate Blue: underestimate
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South Dallas Red: overestimate Blue: underestimate
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By agency Agency Survey total Model total R^2 %RMSE DART 110,328
121,106 0.59 64% THET 26,322 26,178 0.72 71% DCTA 2,583 3,021 0.33 66% RAIL 108,268 107,210 0.93 14%
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DART
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THET THET 1 Spur THET 6
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By trip purpose (15%) (-13%) (28%)
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By access mode of the trips
Survey total Model total R^2 %RMSE Walk Access 188,362 178,044 0.88 77% Drive Access 59,139 79,471 0.95 187%
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Walk access of the trips
DART-Orange
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Drive access of the trips
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Rail, access mode of the trips
Walk access underestimate Drive access overestimate Line Survey Model Walk access Drive access DART-Blue 14,527 8,557 8,719 10,513 DART-Green 14,961 9,109 13,093 15,913 DART-Orange 12,446 8,193 14,348 11,589 DART-Red 17,823 11,497 11,487 12,657 TRE 2,817 5,829 3,395 5,977
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DART-Blue
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Walk on at rail stations DART-Blue
Downton
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Dart-Green
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Dart-Orange
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Dart_Red
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TRE
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Investigate specific lines - TRE
Trinity railway express Commuter rail Identify network issues In survey demand of a specific route is known Assign demand in TransCAD, and check whether the demand is assigned on the specific route Not all demand are assigned on the specific route Identify two types of errors 1). some riders are not assigned at all in the model 2). Some riders are assigned but on a different route
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HBW walk access, BR network, Peak, TRE
Assign TRE survey demand in the model Total demand: , not assigned 52.3, assigned Reasons not assigned Reason for TRE-WA-PK not assigned Flow Total % Picked up by someone 17.35 33% Bike access 10.22 19.5% Connector issue 22.8 43.6% Access/egress time is more than 20 minutes 5.97 11.4% More than 3 transfers 2.06 4% 52.29 100%
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Investigate why TRE users not choose TRE
Assigned but not use TRE Table 1 TRE users assigned in the transit network without using TRE routes From node To node Number of path Flow Demand Survey 7064 41149 1 1.88 Generalized cost on survey path is 21.4, shortest path is 7607 7226 2 9.20 Egress time is minutes. Generalized cost on shortest path is on TRE path is 14.92* * *0.151=14.287 8579 6431 0.98 The survey route has 4 transfers. 40426 7349 17.77 Total 29.83
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OD 2, 7607 to 7226 It takes DART 63 rather than TRE. One reason is that the egress time from TRE station to the destination node is more than 20 minutes. TRE station TRE station
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OD 3, 8579 to 6431 If takes TRE, it will create more than 3 transfers
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OD 4, 40426 to 7349 It takes DART_63 rather than TRE
From “Medical/Market Center Station” to “Victory Station” always choose DART_49 rather than TRE There is a coding error that “Victory Station” is not coded in the transit stop
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Summary Travel pattern issue: Coding issue Solution
complex access and egress model, pick up by sb, bike, etc. Access, egress time maybe more than 20 minutes. Max transfer maybe more than 3 Sometimes take a route which is not with the least generalized cost Coding issue Connector issue Stop station is not reasonable Solution Resolve the connector issue Reassign stops in a reasonable way
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Access/Egress time comparison
Compare the access/egress time from the model to the on-board transit survey Identify possible issues that associated with the access/egress time therefore affect the ridership in the model Improve the model such that the access/egress time are more accurate
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Methodology 12 68 146 162 Get walk time distribution from survey
Question: how many blocks in the walk access for each person Assumption: Walk 5 mins for each block 1 block or less cover 90% trips 2 blocks or less cover 90% trips 3 blocks or less cover 90% trips 4 blocks or less cover 90% trips Transit lines 12 68 146 162
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Methodology Get walk time distribution from model
From survey get the production TSZs and its demand for each line Get location of transit stops Assign those transit demand from TSZ to bus stops Use GISDK run multiple shortest path module, minimize walk time Suppose all travelers from TSZ walk to the nearest bus stops This gets walk time distribution observed in the model Compare the walk time distribution with the survey
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Result Walk time in the model is more than in the survey
1 block or less covers 90% trips 2 blocks or less covers 90% trips 3 blocks or less covers 90% trips 4 blocks or less covers 90% trips 5 blocks or less covers 90% trips 6 blocks or less covers 90% trips Survey 12 68 146 162 168 172 5 mins or less covers 90% trips 10 mins or less covers 90% trips 15 mins or less covers 90% trips 20 mins or less covers 90% trips 25 mins or less covers 90% trips 30 mins or less covers 90% trips Model 6 39 86 120
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Improvement Check alignment, headway, stops, and travel time.
Add approach link for TRE at Richarland, Centerport and Medical Center. Maximum access time change from 20 minutes to 30 minutes for mode 80 and 81.
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Alignment change DART 404 add line 54042
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Add stop TRE, Green and Orange lines add Victory station
Green line adds Fair Park station DART 164, add several major stops
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Walk access of the line for mode 80 and 81
Before After Survey walk access Model ridership walk access Diff(model-survey) DART - BLUE 7667 4231 -3436 5474 -2193 DART - GREEN 7439 4319 -3119 6094 -1345 DART - ORANGE 6369 4062 -2308 5733 -636 DART - RED 9403 4789 -4614 6075 -3328 TRE 1198 593 -605 1028 -170
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TRE Richland becomes much better than before
Centerport better but still underestimate Medical center, victory and union station underestimate
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TRE walk access at stations
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Results DART 164, add stops, walk access increase from 1172 to 2137, almost double; T6, add one stop, directed walk access increase from 1485 to 1598; T2, change alignment, drop from 1360 to 1180; Add approach and add stops can increase ridership significantly.
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Conclusion Summary of 2014 transit on-board survey
Overall comparison between the survey and model Comparison of route selection for few lines Access/egress time comparison Improvement of few lines
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Future research
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Walk on at rail stations DART-Blue
Downton
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Walk on at rail stations DART-Green
Downton
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Walk on at rail stations DART-Orange
Downton
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Walk on at rail stations DART-Red
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Walk on at rail stations TRE
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