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Direct Ridership Model of Bus Rapid Transit in Los Angeles County

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  • Cervero, Robert
  • Murakami, Jin
  • Miller, Mark A.

Abstract

A Direct Ridership Model (DRM) for predicting Bus Rapid Transit (BRT) patronage in Southern California is estimated. Attributes of bus stops and their surroundings constitute the data observations of the DRM, enabling a fairly fine-resolution of analysis to be carried out on factors that influence ridership. The best-fitting DRM revealed that service frequency strongly influences BRT patronage in Los Angeles County. High intermodal connectivity, with both feeder bus routes and rail-transit services, also significantly induces BRT travel. Population densities also contribute to BRT patronage and in the case of exclusive-lane BRT services, higher employment densities further increase higher daily boardings. The strong statistical fit of the model bodes well for DRM as a platform for estimating BRT patronage in coming years.

Suggested Citation

  • Cervero, Robert & Murakami, Jin & Miller, Mark A., 2009. "Direct Ridership Model of Bus Rapid Transit in Los Angeles County," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt39q7w812, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt39q7w812
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    Cited by:

    1. Kepaptsoglou, Konstantinos & Stathopoulos, Antony & Karlaftis, Matthew G., 2017. "Ridership estimation of a new LRT system: Direct demand model approach," Journal of Transport Geography, Elsevier, vol. 58(C), pages 146-156.
    2. Moniruzzaman, Md & Páez, Antonio, 2012. "Accessibility to transit, by transit, and mode share: application of a logistic model with spatial filters," Journal of Transport Geography, Elsevier, vol. 24(C), pages 198-205.
    3. Jiang, Yang & Christopher Zegras, P. & Mehndiratta, Shomik, 2012. "Walk the line: station context, corridor type and bus rapid transit walk access in Jinan, China," Journal of Transport Geography, Elsevier, vol. 20(1), pages 1-14.
    4. Jinbao Zhao & Wei Deng & Yan Song & Yueran Zhu, 2014. "Analysis of Metro ridership at station level and station-to-station level in Nanjing: an approach based on direct demand models," Transportation, Springer, vol. 41(1), pages 133-155, January.
    5. Vergel-Tovar, C. Erik & Rodriguez, Daniel A., 2018. "The ridership performance of the built environment for BRT systems: Evidence from Latin America," Journal of Transport Geography, Elsevier, vol. 73(C), pages 172-184.

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