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Drivers of bus rapid transit systems – Influences on patronage and service frequency

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  • Hensher, David A.
  • Li, Zheng
  • Mulley, Corinne

Abstract

This paper reports the findings of a comparative analysis of bus rapid transit (BRT) performance using information on cross-section data of 121 BRT systems throughout the world, in which random effects regression is employed as the modelling framework for stand alone patronage and ridership models, and 3SLS for joint models in which frequency is treated as an endoneous effect on patronage. A number of sources of systematic variation are identified which have a statistically significant impact on BRT patronage in terms of daily passenger numbers such as fare, frequency, connectivity, pre-board fare collection, and location of with-flow bus lanes and doorways of a bus. In addition to the patronage model, a bus frequency model is estimated to identify the context within which higher levels of service frequency are delivered, notably where there exists higher population density, more trunk lines, the corridor provides bus priority facilities such as priority lanes for many bus routes, and where there is the presence of overtaking lanes at more than half of all stations along the heaviest section of the corridor. The findings offer important insights into features of BRT systems that are positive contributors to growing patronage which should be taken into account in designing and planning BRT systems.

Suggested Citation

  • Hensher, David A. & Li, Zheng & Mulley, Corinne, 2014. "Drivers of bus rapid transit systems – Influences on patronage and service frequency," Research in Transportation Economics, Elsevier, vol. 48(C), pages 159-165.
  • Handle: RePEc:eee:retrec:v:48:y:2014:i:c:p:159-165
    DOI: 10.1016/j.retrec.2014.09.038
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    References listed on IDEAS

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    1. Tirachini, Alejandro & Hensher, David A., 2011. "Bus congestion, optimal infrastructure investment and the choice of a fare collection system in dedicated bus corridors," Transportation Research Part B: Methodological, Elsevier, vol. 45(5), pages 828-844, June.
    2. Hensher, David A., 2007. "Sustainable public transport systems: Moving towards a value for money and network-based approach and away from blind commitment," Transport Policy, Elsevier, vol. 14(1), pages 98-102, January.
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    4. Edwards, Marion & Mackett, Roger L, 1996. "Developing new urban public transport systems : An irrational decision-making process," Transport Policy, Elsevier, vol. 3(4), pages 225-239, October.
    5. Hensher, David A., 2008. "Assessing systematic sources of variation in public transport elasticities: Some comparative warnings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(7), pages 1031-1042, August.
    6. David Hensher & Zheng Li, 2012. "Erratum to: Ridership drivers of bus rapid transit systems," Transportation, Springer, vol. 39(6), pages 1223-1224, November.
    7. Holmgren, Johan, 2007. "Meta-analysis of public transport demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 1021-1035, December.
    8. David Hensher & Zheng Li, 2012. "Ridership drivers of bus rapid transit systems," Transportation, Springer, vol. 39(6), pages 1209-1221, November.
    9. David Hensher & Thomas Golob, 2008. "Bus rapid transit systems: a comparative assessment," Transportation, Springer, vol. 35(4), pages 501-518, July.
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    Citations

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    Cited by:

    1. Andisheh Ranjbari & Yi-Chang Chiu & Mark Hickman, 2017. "Exploring factors affecting demand for possible future intercity transit options," Public Transport, Springer, vol. 9(1), pages 463-481, July.
    2. Ling, Shuai & Jia, Ning & Ma, Shoufeng & Lan, Yanfei & Hu, Wandi, 2019. "An incentive mechanism design for bus subsidy based on the route service level," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 271-283.
    3. Konrad Steiner & Stefan Irnich, 2018. "Schedule-Based Integrated Intercity Bus Line Planning via Branch-and-Cut," Transportation Science, INFORMS, vol. 52(4), pages 882-897, August.
    4. Li, Zheng & Hensher, David A., 2020. "Performance contributors of bus rapid transit systems: An ordered choice approach," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 154-161.
    5. Basso, Leonardo J. & Feres, Fernando & Silva, Hugo E., 2019. "The efficiency of bus rapid transit (BRT) systems: A dynamic congestion approach," Transportation Research Part B: Methodological, Elsevier, vol. 127(C), pages 47-71.
    6. Hensher, David A. & Ho, Chinh & Mulley, Corinne, 2015. "Identifying resident preferences for bus-based and rail-based investments as a complementary buy in perspective to inform project planning prioritisation," Journal of Transport Geography, Elsevier, vol. 46(C), pages 1-9.
    7. Levine, Jonathan & Singer, Matan & Merlin, Louis & Grengs, Joe, 2018. "Apples to apples: Comparing BRT and light rail while avoiding the “BRT-Lite” trap," Transport Policy, Elsevier, vol. 69(C), pages 20-34.
    8. Konrad Steiner & Stefan Irnich, 2016. "Schedule-based integrated inter-city bus line planning via branch-and-cut," Working Papers 1608, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.

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    More about this item

    Keywords

    Service quality; Value for money; Bus rapid transit; Ridership; Connectivity; Frequency;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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