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Substitutes or complements? Examining effects of urban rail transit on bus ridership using longitudinal city-level data

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  • Yang, Chao
  • Yu, Chengcheng
  • Dong, Wentao
  • Yuan, Quan

Abstract

Despite massive investments, bus ridership has constantly declined in many cities worldwide. As public transit systems are evolving from bus-based to mixed structured, the longitudinal interactions between bus and urban rail transit (URT) have attracted the growing attention of transportation planners in many cities. Based on complex network theory and minimum spanning tree method, we examine network and scale effects of rail transit on conventional bus. Fixed effect models (FEMs) and generalized additive models (GAMs) are developed to identify non-linear causal effects of explanatory variables on bus transit ridership, rail transit ridership and total transit ridership, using China's city-level data during 2005–2020. The results showed when GDP per capita exceeded 75,000 yuan, residents would start switching away from bus; (2) for cities with advanced URT networks, simply improving bus service quality or constructing the rail network is not as effective as optimizing both together. Therefore, we recommend that for cities where the URT was less developed, financial resources need to be strategically invested in the bus transit networks so as to accommodate citizens' travel demand. Meanwhile, collaborative multimodal public transportation planning is essential for sustainable urban transportation development. The research outcomes may inform policymakers of the critical relationship between bus and rail transit and help create wise decisions on spending on public transit.

Suggested Citation

  • Yang, Chao & Yu, Chengcheng & Dong, Wentao & Yuan, Quan, 2023. "Substitutes or complements? Examining effects of urban rail transit on bus ridership using longitudinal city-level data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    • Handle: RePEc:eee:transa:v:174:y:2023:i:c:s0965856423001489
    DOI: 10.1016/j.tra.2023.103728
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    1. Berrebi, Simon J. & Joshi, Sanskruti & Watkins, Kari E., 2021. "On bus ridership and frequency," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 140-154.
    2. Cui, Boer & DeWeese, James & Wu, Hao & King, David A. & Levinson, David & El-Geneidy, Ahmed, 2022. "All ridership is local: Accessibility, competition, and stop-level determinants of daily bus boardings in Portland, Oregon," Journal of Transport Geography, Elsevier, vol. 99(C).
    3. Luis A. Guzman & Santiago Gomez & Carlos Alberto Moncada, 2020. "Short run fare elasticities for Bogotá’s BRT system: ridership responses to fare increases," Transportation, Springer, vol. 47(5), pages 2581-2599, October.
    4. Merlin, Louis A. & Singer, Matan & Levine, Jonathan, 2021. "Influences on transit ridership and transit accessibility in US urban areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 63-73.
    5. Lee, Yongsung & Lee, Bumsoo, 2022. "What’s eating public transit in the United States? Reasons for declining transit ridership in the 2010s," Transportation Research Part A: Policy and Practice, Elsevier, vol. 157(C), pages 126-143.
    6. Simon J. Berrebi & Kari E. Watkins, 2020. "Whos Ditching the Bus?," Papers 2001.02200, arXiv.org, revised Mar 2020.
    7. Zhang, Dapeng & Wang, Xiaokun (Cara), 2014. "Transit ridership estimation with network Kriging: a case study of Second Avenue Subway, NYC," Journal of Transport Geography, Elsevier, vol. 41(C), pages 107-115.
    8. Currie, Graham & Delbosc, Alexa, 2011. "Understanding bus rapid transit route ridership drivers: An empirical study of Australian BRT systems," Transport Policy, Elsevier, vol. 18(5), pages 755-764, September.
    9. Jonathan Levine, 2013. "Is Bus Versus Rail Investment a Zero-Sum Game?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 79(1), pages 5-15, January.
    10. Chen, Xiaohong & Guo, Yingjie & Yang, Chao & Ding, Fangyi & Yuan, Quan, 2021. "Exploring essential travel during COVID-19 quarantine: Evidence from China," Transport Policy, Elsevier, vol. 111(C), pages 90-97.
    11. Feng, Shumin & Xin, Mengwei & Lv, Tianling & Hu, Baoyu, 2019. "A novel evolving model of urban rail transit networks based on the local-world theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    12. Malalgoda, Narendra & Lim, Siew Hoon, 2019. "Do transportation network companies reduce public transit use in the U.S.?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 351-372.
    13. Chiou, Yu-Chiun & Jou, Rong-Chang & Yang, Cheng-Han, 2015. "Factors affecting public transportation usage rate: Geographically weighted regression," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 161-177.
    14. Cordera, Ruben & Canales, Cesar & dell’Olio, Luigi & Ibeas, Angel, 2015. "Public transport demand elasticities during the recessionary phases of economic cycles," Transport Policy, Elsevier, vol. 42(C), pages 173-179.
    15. 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.
    16. Zhou, Yang & Yuan, Quan & Ding, Fangyi & Chen, Mingyang & Yang, Chao & Guo, Tangyi, 2022. "Demand, mobility, and constraints: Exploring travel behaviors and mode choices of older adults using a facility-based framework," Journal of Transport Geography, Elsevier, vol. 102(C).
    17. Aït-Sahalia, Yacine & Xiu, Dacheng, 2019. "A Hausman test for the presence of market microstructure noise in high frequency data," Journal of Econometrics, Elsevier, vol. 211(1), pages 176-205.
    18. Ehab I. Diab & Madhav G. Badami & Ahmed M. El-Geneidy, 2015. "Bus Transit Service Reliability and Improvement Strategies: Integrating the Perspectives of Passengers and Transit Agencies in North America," Transport Reviews, Taylor & Francis Journals, vol. 35(3), pages 292-328, May.
    19. Badi H. Baltagi & Long Liu, 2016. "Random Effects, Fixed Effects and Hausman's Test for the Generalized Mixed Regressive Spatial Autoregressive Panel Data Model," Econometric Reviews, Taylor & Francis Journals, vol. 35(4), pages 638-658, April.
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