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Examining the influence of stop level infrastructure and built environment on bus ridership in Montreal

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  • Chakour, Vincent
  • Eluru, Naveen

Abstract

We studied transit ridership from the perspective of the transit provider, with the objective of quantifying the influence of transit system operational attributes, transportation system infrastructure attributes and built environment attributes on the disaggregate stop level boardings and alightings by time of day for the bus transit system in the Montreal region. A Composite Marginal Likelihood (CML) based ordered response probit (ORP) model, that simultaneously allows us to incorporate the influence of exogenous variables and potential correlations between boardings and alightings across multiple time periods of the day is employed. Our results indicate that headway affects ridership negatively, while the presence of public transportation around the stop has a positive and significant effect. Moreover, parks, commercial enterprises, and residential area, amongst others, have various effects across the day on boardings and alightings at bus stops. An elasticity analysis provides useful insights. Specifically, we observe that the most effective way to increase ridership is to increase public transport service and accessibility, whereas enhancements to land use have a smaller effect on ridership. The framework from our analysis provides transit agencies a mechanism to study the influence of transit accessibility, transit connectivity, transit schedule alterations (to increase/reduce headway), and land-use pattern changes on ridership.

Suggested Citation

  • Chakour, Vincent & Eluru, Naveen, 2016. "Examining the influence of stop level infrastructure and built environment on bus ridership in Montreal," Journal of Transport Geography, Elsevier, vol. 51(C), pages 205-217.
  • Handle: RePEc:eee:jotrge:v:51:y:2016:i:c:p:205-217
    DOI: 10.1016/j.jtrangeo.2016.01.007
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    File URL: http://www.sciencedirect.com/science/article/pii/S0966692316000089
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    1. Cristiano Varin & Paolo Vidoni, 2009. "Pairwise Likelihood Inference for General State Space Models," Econometric Reviews, Taylor & Francis Journals, vol. 28(1-3), pages 170-185.
    2. Debrezion, Ghebreegziabiher & Pels, Eric & Rietveld, Piet, 2009. "Modelling the joint access mode and railway station choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 270-283, January.
    3. Ferdous, Nazneen & Eluru, Naveen & Bhat, Chandra R. & Meloni, Italo, 2010. "A multivariate ordered-response model system for adults' weekday activity episode generation by activity purpose and social context," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 922-943, September.
    4. Tatiyana V. Apanasovich & David Ruppert & Joanne R. Lupton & Natasa Popovic & Nancy D. Turner & Robert S. Chapkin & Raymond J. Carroll, 2008. "Aberrant Crypt Foci and Semiparametric Modeling of Correlated Binary Data," Biometrics, The International Biometric Society, vol. 64(2), pages 490-500, June.
    5. Cynthia Chen & Don Varley & Jason Chen, 2011. "What Affects Transit Ridership? A Dynamic Analysis involving Multiple Factors, Lags and Asymmetric Behaviour," Urban Studies, Urban Studies Journal Limited, vol. 48(9), pages 1893-1908, July.
    6. Jeffrey R. Brown & Gregory L. Thompson, 2008. "The Relationship between Transit Ridership and Urban Decentralisation: Insights from Atlanta," Urban Studies, Urban Studies Journal Limited, vol. 45(5-6), pages 1119-1139, May.
    7. Frank, Lawrence Douglas & Saelens, Brian E. & Powell, Ken E. & Chapman, James E., 2007. "Stepping towards causation: Do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity?," Social Science & Medicine, Elsevier, vol. 65(9), pages 1898-1914, November.
    8. Debrezion, Ghebreegziabiher & Pels, E. & Rietveld, Piet, 2007. "Choice of departure station by railway users," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 37, pages 78-92.
    9. Lane, Bradley W., 2010. "The relationship between recent gasoline price fluctuations and transit ridership in major US cities," Journal of Transport Geography, Elsevier, vol. 18(2), pages 214-225.
    10. Lane, Bradley W., 2012. "A time-series analysis of gasoline prices and public transportation in US metropolitan areas," Journal of Transport Geography, Elsevier, vol. 22(C), pages 221-235.
    11. Bhat, Chandra R. & Sener, Ipek N. & Eluru, Naveen, 2010. "A flexible spatially dependent discrete choice model: Formulation and application to teenagers' weekday recreational activity participation," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 903-921, September.
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    Cited by:

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    3. Aston, Laura & Currie, Graham & Kamruzzaman, Md. & Delbosc, Alexa & Teller, David, 2020. "Study design impacts on built environment and transit use research," Journal of Transport Geography, Elsevier, vol. 82(C).
    4. Simon Berrebi & Sanskruti Joshi & Kari E Watkins, 2020. "On Ridership and Frequency," Papers 2002.02493, arXiv.org, revised Dec 2020.
    5. Yu, Haitao & Peng, Zhong-Ren, 2019. "Exploring the spatial variation of ridesourcing demand and its relationship to built environment and socioeconomic factors with the geographically weighted Poisson regression," Journal of Transport Geography, Elsevier, vol. 75(C), pages 147-163.
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    7. Rahman, Moshiur & Yasmin, Shamsunnahar & Eluru, Naveen, 2020. "A joint panel binary logit and fractional split model for converting route-level transit ridership data to stop-level boarding and alighting data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 1-16.
    8. Ingvardson, Jesper Bláfoss & Nielsen, Otto Anker, 2018. "How urban density, network topology and socio-economy influence public transport ridership: Empirical evidence from 48 European metropolitan areas," Journal of Transport Geography, Elsevier, vol. 72(C), pages 50-63.
    9. Tu, Wei & Cao, Rui & Yue, Yang & Zhou, Baoding & Li, Qiuping & Li, Qingquan, 2018. "Spatial variations in urban public ridership derived from GPS trajectories and smart card data," Journal of Transport Geography, Elsevier, vol. 69(C), pages 45-57.
    10. Kim, Ja Young & Bartholomew, Keith & Ewing, Reid, 2020. "Another one rides the bus? The connections between bus stop amenities, bus ridership, and ADA paratransit demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 280-288.
    11. Diab, Ehab & Kasraian, Dena & Miller, Eric J. & Shalaby, Amer, 2020. "The rise and fall of transit ridership across Canada: Understanding the determinants," Transport Policy, Elsevier, vol. 96(C), pages 101-112.
    12. Keya, Nowreen & Anowar, Sabreena & Eluru, Naveen, 2019. "Joint model of freight mode choice and shipment size: A copula-based random regret minimization framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 97-115.
    13. Ding, Chuan & Cao, Xinyu & Liu, Chao, 2019. "How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds," Journal of Transport Geography, Elsevier, vol. 77(C), pages 70-78.

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