Built environment's nonlinear effects on mode shares around BRT and rail stations

被引:10
作者
Abdollahpour, Seyed Sajjad [1 ]
Buehler, Ralph [2 ]
Le, Huyen T. K. [3 ]
Nasri, Arefeh [4 ]
Hankey, Steve [1 ]
机构
[1] Virginia Polytech Inst & State Univ, Sch Publ & Int Affairs, Blacksburg, VA 24061 USA
[2] Virginia Polytech Inst & State Univ, Dept Urban Affairs & Planning, Arlington, VA USA
[3] Ohio State Univ, Dept Geog, Columbus, OH 43210 USA
[4] Transportat Res Board, Washington, DC USA
关键词
Land use; Travel behavior; Local and regional planning; Machine learning; National level study; TRANSIT-ORIENTED DEVELOPMENT; BUS RAPID-TRANSIT; BOOSTING DECISION TREES; TRAVEL BEHAVIOR; RIDERSHIP; CHOICE; IMPACT; TOD;
D O I
10.1016/j.trd.2024.104143
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study investigates nonlinear associations between built environment (BE) attributes and commuting mode share within rail and bus rapid transit (BRT) catchment areas. Data from approximately 2,790 fixed guideway transit station areas across 34 metropolitan statistical areas in the United States were analyzed using a random forest approach. Results show nonlinear associations of the BE with mode share in transit catchment areas with substantial differences between rail and BRT catchment areas. Rail catchment areas exhibit greater sensitivity to the BE to reduce car dependency as compared to BRT stations. Moreover, polycentricity and population density at regional level are effective at reducing car dependency. We suggest that policymakers consider BE threshold effects and station types when adjusting land -use policies, e.g., in transitoriented development. Additionally, BRT systems could be a useful alternative to rail in sprawling areas that do not have the compactness needed to support rail.
引用
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页数:19
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