Analysis of Factors Influencing Travel Mode Choice in LA County
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Transcript of Analysis of Factors Influencing Travel Mode Choice in LA County
Analysis of Factors Influencing Travel Mode Choice in LA County
Presented by Runlin Cai, CAUPD Affiliate
Issue: What determines travel mode choiceTransit mode share in LA county was 3% in
2000. (Source: SCAG Year 2000 Post-Census Regional Travel Survey Report)There are numerous factors influencing
travel mode choice, including socioeconomic, urban form, transport system, policy, etc.
My work is focusing on urban form and transport supply, especially difference between transit and roadway
Outline
Urban Form FactorsTravel Demand SideTransport Supply SideTravel Mode ChoiceConclusion
Range and UnitAnalysis Range: Los Angeles CountyAnalysis unit: Census Tracts
Urban Form FactorsPopulation: 9.8 millionMean Density: 2,419/sq.miles
Urban Form Factors
Transport Supply SideTransit Network
5 urban rail linesRapid linesLocal linesCom circle lines
Transport Supply SideTransit Network
5.2 million population (53%) covered in 0.5 mile buffers
Transport Supply SideUrban Rail Network
5 urban rail linesMainly covered
Downtown and southern area
Only 74 thousand people (7%) around 0.5 mile distance to rail stations
Transport Supply SideRoad Network
Freeways covering almost everywhere4.7 million population (48%) within 1 mile
distance to freeway
Transport Supply SideVehicles used in Commuting
High car ownership and using, while relatively low near rail station area
Travel Demand SideTrip-to-Work Time
Mostly over 20 minutes and more
Trip-to-Work DensityHigh density along corridors
Travel Mode ChoiceTrip-to-Work Mode
Driving: most area exceeding 70%
The farther travel distance is, the more likely to choose driving
Due to the travel time cost
Travel Mode ChoiceTrip-to-Work
ModePublic Transport:
mostly lower than 5 percent
Areas near rail lines have higher transit share
Urban Rail EffectMode Share around
Rail StationsOverall daily
boarding passengers up to 266,000
Transit mode share much higher than other areas
Urban Rail EffectMode Share around
Rail StationsAverage boardings
# of every station exceeds 3,500
Average transit share of nearby census track exceeds 13%
Aver ageShar e of Rai l Tr avel i ng Near St at i on
7065605550454035302520151050
Pec_PT
757065605550454035302520151050
13. 087 13. 087
Aver ageRai l St at i on Boar di ngs
706050403020100
Boardings
16, 00015, 00014, 00013, 00012, 00011, 00010, 0009, 0008, 0007, 0006, 0005, 0004, 0003, 0002, 0001, 000
0
3, 647. 669 3, 647. 669
Different Effect in Transit and FreewayTime Contour Comparison
In the same time period, travelers would reach 2 times wide area by driving as by transit
Example: SingaporePublic transit share up to 60%Population density up to 15,000 persons/sq.mileMost HDB apartments within 0.5mile to rail
stationsRail lines cover population of 50%
Conclusion based on factors analysisLonger travel due to low density sprawling makes
people prefer drivingLow level and insufficient transit network makes
people unwilling to travel by transit Urban rail transit would be better solution to
attract travelers to take transit, and thus protecting environment and alleviating congestion
Skills Used Map inset Clip Graduated symbol Charts images Geometry calculation Creating indices Spatial join Field calculating & statistics Merge Attribute selection Buffering of points and lines Project define Feature to lines Network Analysis (service area) Modeling
Model Used
Metadata
Thank you