IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i3p2563-d1052835.html
   My bibliography  Save this article

Exploring the Macro Economic and Transport Influencing Factors of Urban Public Transport Mode Share: A Bayesian Structural Equation Model Approach

Author

Listed:
  • Bowen Zhou

    (Urban Transport Research Center, School of Traffic and Transportation Engineering, Central South University, Changsha 410017, China
    Hunan Provincial Communications Planning, Survey & Design Institute Co., Ltd., Changsha 410008, China)

  • Jieling Jin

    (Urban Transport Research Center, School of Traffic and Transportation Engineering, Central South University, Changsha 410017, China)

  • Helai Huang

    (Urban Transport Research Center, School of Traffic and Transportation Engineering, Central South University, Changsha 410017, China)

  • Yuanchang Deng

    (ITS Research Center, School of Intelligent Systems Engineering, Sun Yat-Sen University, Guangzhou 510006, China)

Abstract

The public transportation priority strategy is a significant way to alleviate urban traffic congestion, and the urban public transport mode share (UPTMS) is a crucial indicator to measure the performance of public transportation priority strategies. To explore the influence factors of UPTMS, this study hypothesized that UPTMS is influenced by factors such as population, economy, road operation performance, public transport infrastructure, and private transport facilities, and tested the hypotheses using structural equation modeling (SEM) and Bayesian structural equation modeling (BSEM) based on urban macro economic and transport data in Guangzhou and Beijing, China. The results showed that, in the case of a small sample, BSEM is more adept at examining the correlation between the UPTMS and its influencing factors than SEM; in the Guangzhou and Beijing models, public transport infrastructure has the greatest positive and most significant impact on the UPTMS, and road operation performance has the greatest negative and most significant impact. Moreover, road operation performance is significantly improved by public transport infrastructure, while private transport facilities have a significant negative influence on road operation performance.

Suggested Citation

  • Bowen Zhou & Jieling Jin & Helai Huang & Yuanchang Deng, 2023. "Exploring the Macro Economic and Transport Influencing Factors of Urban Public Transport Mode Share: A Bayesian Structural Equation Model Approach," Sustainability, MDPI, vol. 15(3), pages 1-11, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2563-:d:1052835
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/3/2563/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/3/2563/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shamsher, Robaka & Abdullah, Mohamamd Nayeem, 2013. "Traffic Congestion in Bangladesh- Causes and Solutions: A study of Chittagong Metropolitan City," Asian Business Review, Asian Business Consortium, vol. 2(1), pages 13-18.
    2. Fei Yang & Lin Chen & Yang Cheng & Zhenxing Yao & Xu Zhang, 2015. "Urban public transport choice behavior analysis and service improvement policy-making: a case study from the metropolitan city, Chengdu, China," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(4), pages 806-816, April.
    3. 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.
    4. De Vos, Jonas & Witlox, Frank, 2013. "Transportation policy as spatial planning tool; reducing urban sprawl by increasing travel costs and clustering infrastructure and public transportation," Journal of Transport Geography, Elsevier, vol. 33(C), pages 117-125.
    5. Michael L. Anderson, 2014. "Subways, Strikes, and Slowdowns: The Impacts of Public Transit on Traffic Congestion," American Economic Review, American Economic Association, vol. 104(9), pages 2763-2796, September.
    6. Sebastian Bamberg & Peter Schmidt, 1998. "Changing Travel-Mode Choice As Rational Choice:," Rationality and Society, , vol. 10(2), pages 223-252, May.
    7. Yang, Mian & Ma, Tiemeng & Sun, Chuanwang, 2018. "Evaluating the impact of urban traffic investment on SO2 emissions in China cities," Energy Policy, Elsevier, vol. 113(C), pages 20-27.
    8. Veronique Van Acker & Frank Witlox & Bert Van Wee, 2007. "The Effects of the Land Use System on Travel Behavior: A Structural Equation Modeling Approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 30(4), pages 331-353, May.
    9. Yihsu Chen & Alexander Whalley, 2012. "Green Infrastructure: The Effects of Urban Rail Transit on Air Quality," American Economic Journal: Economic Policy, American Economic Association, vol. 4(1), pages 58-97, February.
    10. Feng Han & Rui Xie & Mingyong Lai, 2018. "Traffic density, congestion externalities, and urbanization in China," Spatial Economic Analysis, Taylor & Francis Journals, vol. 13(4), pages 400-421, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huang, Guobin & Zhang, Jie & Yu, Jian & Shi, Xunpeng, 2020. "Impact of transportation infrastructure on industrial pollution in Chinese cities: A spatial econometric analysis," Energy Economics, Elsevier, vol. 92(C).
    2. Hongyou Lu & Yunchan Zhu & Yu Qi & Jinliang Yu, 2018. "Do Urban Subway Openings Reduce PM 2.5 Concentrations? Evidence from China," Sustainability, MDPI, vol. 10(11), pages 1-24, November.
    3. Hamilton, Timothy L. & Wichman, Casey J., 2018. "Bicycle infrastructure and traffic congestion: Evidence from DC's Capital Bikeshare," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 72-93.
    4. Stefan Bauernschuster & Timo Hener & Helmut Rainer, 2017. "When Labor Disputes Bring Cities to a Standstill: The Impact of Public Transit Strikes on Traffic, Accidents, Air Pollution, and Health," American Economic Journal: Economic Policy, American Economic Association, vol. 9(1), pages 1-37, February.
    5. Davis, Lucas W., 2021. "Estimating the price elasticity of demand for subways: Evidence from Mexico," Regional Science and Urban Economics, Elsevier, vol. 87(C).
    6. Morrison, Geoffrey M. & Lin Lawell, C.-Y. Cynthia, 2016. "Does employment growth increase travel time to work?: An empirical analysis using military troop movements," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 180-197.
    7. Catherine Hausman & David S. Rapson, 2018. "Regression Discontinuity in Time: Considerations for Empirical Applications," Annual Review of Resource Economics, Annual Reviews, vol. 10(1), pages 533-552, October.
    8. Meina Zheng & Xiucheng Guo & Feng Liu & Jiayan Shen, 2021. "Contribution of Subway Expansions to Air Quality Improvement and the Corresponding Health Implications in Nanjing, China," IJERPH, MDPI, vol. 18(3), pages 1-19, January.
    9. Lin, Boqiang & Du, Zhili, 2017. "Can urban rail transit curb automobile energy consumption?," Energy Policy, Elsevier, vol. 105(C), pages 120-127.
    10. Yujing Guo & Qian Zhang & Kin Keung Lai & Yingqin Zhang & Shubin Wang & Wanli Zhang, 2020. "The Impact of Urban Transportation Infrastructure on Air Quality," Sustainability, MDPI, vol. 12(14), pages 1-25, July.
    11. Bel, Germà & Holst, Maximilian, 2018. "Evaluation of the impact of Bus Rapid Transit on air pollution in Mexico City," Transport Policy, Elsevier, vol. 63(C), pages 209-220.
    12. Ioulia V Ossokina & Jos van Ommeren & Henk van Mourik, 2023. "Do highway widenings reduce congestion?," Review of Finance, European Finance Association, vol. 23(4), pages 871-900.
    13. Cui, Yin & Li, Zhiyong & Sun, Yu & Sun, Weizheng, 2023. "Environmental performance of an urban passenger transport system and influencing factors: A case study of Tianjin, China," Utilities Policy, Elsevier, vol. 80(C).
    14. Ariel Goldszmidt & John A. List & Robert D. Metcalfe & Ian Muir & V. Kerry Smith & Jenny Wang, 2020. "The Value of Time in the United States: Estimates from Nationwide Natural Field Experiments," NBER Working Papers 28208, National Bureau of Economic Research, Inc.
    15. Niklas Gohl & Philipp Schrauth, 2022. "Ticket to Paradise? The Effect of a Public Transport Subsidy on Air Quality," CEPA Discussion Papers 50, Center for Economic Policy Analysis.
    16. Beaudoin, Justin & Lin Lawell, C.-Y. Cynthia, 2018. "The effects of public transit supply on the demand for automobile travel," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 447-467.
    17. Pyddoke, Roger, 2016. "Modelling effects of policy instruments for sustainable urban transport in Scandinavia," Working papers in Transport Economics 2016:29, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    18. Léa Bou Sleiman, 2021. "Are car-free centers detrimental to the periphery? Evidence from the pedestrianization of the Parisian riverbank," Working Papers 2021-03, Center for Research in Economics and Statistics.
    19. Dang, Hai-Anh H. & Trinh, Trong-Anh, 2021. "Does the COVID-19 lockdown improve global air quality? New cross-national evidence on its unintended consequences," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
    20. Matthias Beestermöller & Levke Jessen-Thiesen & Alexander Sandkamp & Alexander-Nikolai Sandkamp, 2023. "Striking Evidence: The Impact of Railway Strikes on Competition from Intercity Bus Services in Germany," CESifo Working Paper Series 10483, CESifo.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2563-:d:1052835. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.