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The Diversity and Evolution Process of Bus System Performance in Chinese Cities: An Empirical Study

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  • Xiaohong Chen

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 4800 Cao'an Road, Shanghai 201804, China)

  • Xiang Wang

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 4800 Cao'an Road, Shanghai 201804, China)

  • Hua Zhang

    (The Key Laboratory of Road and Traffic Engineering of, Ministry of Education, Tongji University, RM 403 Building 3, Lane 46, Guokang Road, Shanghai 200092, China)

  • Jia Li

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 4800 Cao'an Road, Shanghai 201804, China)

Abstract

Bus system performance varies from city to city, and experience clearly indicates that simply increasing the size of bus fleet cannot always improve bus system performance. It is therefore necessary to identify the major variables of bus system performance in different cities and implement a diversity improvement strategy based on actual problems that cities are facing. Two new indicators, annual average bus trips per capita and average daily ridership per bus, are proposed to respectively describe two aspects of bus system performance: willingness to travel and operational efficiency. According to these two indicators, 645 cities in China are classified into four types: cities with good performance in both aspects; in only one aspect; and in neither aspect. Then, based on panel data attained during 2002–2008, the impacts of the variables on willingness to travel and operational efficiency in different city types are analyzed by the variable coefficient model. The results show that the impacts of urban geography, economic conditions, and bus system facility vary among the four city types. Bus ownership ratio has a significant positive impact on improving willingness to travel for the cities with insufficient bus system facility. However, the impact decreases in the cities with well-developed facilities, whereas the operational efficiency suffers from negative impact due to the excess in bus system facility. In addition, the development characteristics of the cities that are improved both in willingness to travel and operational efficiency in each city type during 2002–2008 are discussed. The findings can help local governments make more specific, reasonable and efficient strategies to promote bus system performance.

Suggested Citation

  • Xiaohong Chen & Xiang Wang & Hua Zhang & Jia Li, 2014. "The Diversity and Evolution Process of Bus System Performance in Chinese Cities: An Empirical Study," Sustainability, MDPI, vol. 6(11), pages 1-17, November.
  • Handle: RePEc:gam:jsusta:v:6:y:2014:i:11:p:7751-7767:d:41978
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    1. Chu, Chih-Yuan & Durango-Cohen, Pablo L., 2008. "Estimation of dynamic performance models for transportation infrastructure using panel data," Transportation Research Part B: Methodological, Elsevier, vol. 42(1), pages 57-81, January.
    2. Badami, Madhav G. & Haider, Murtaza, 2007. "An analysis of public bus transit performance in Indian cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 961-981, December.
    3. Ben-Akiva, Moshe & Morikawa, Takayuki, 2002. "Comparing ridership attraction of rail and bus," Transport Policy, Elsevier, vol. 9(2), pages 107-116, April.
    4. Karlaftis, Matthew G. & McCarthy, Patrick, 2002. "Cost structures of public transit systems: a panel data analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 38(1), pages 1-18, January.
    5. Nuworsoo, Cornelius & Golub, Aaron & Deakin, Elizabeth, 2009. "Analyzing equity impacts of transit fare changes: Case study of Alameda-Contra Costa Transit, California," Evaluation and Program Planning, Elsevier, vol. 32(4), pages 360-368, November.
    6. Frondel, Manuel & Vance, Colin, 2011. "Rarely enjoyed? A count data analysis of ridership in Germany's public transport," Transport Policy, Elsevier, vol. 18(2), pages 425-433, March.
    7. Bresson, Georges & Dargay, Joyce & Madre, Jean-Loup & Pirotte, Alain, 2003. "The main determinants of the demand for public transport: a comparative analysis of England and France using shrinkage estimators," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(7), pages 605-627, August.
    8. Wang, George H. K. & Skinner, David, 1984. "The impact of fare and gasoline price changes on monthly transit ridership: Empirical evidence from seven U.S. transit authorities," Transportation Research Part B: Methodological, Elsevier, vol. 18(1), pages 29-41, February.
    9. Karlaftis, Matt G. & McCarthy, Patrick, 1998. "Operating subsidies and performance in public transit: an empirical study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(5), pages 359-375, September.
    10. Hensher, David A & Daniels, Rhonda, 1995. "Productivity measurement in the urban bus sector," Transport Policy, Elsevier, vol. 2(3), pages 179-194, July.
    11. Holmgren, Johan, 2007. "Meta-analysis of public transport demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 1021-1035, December.
    12. Bureau, Benjamin & Glachant, Matthieu, 2011. "Distributional effects of public transport policies in the Paris Region," Transport Policy, Elsevier, vol. 18(5), pages 745-754, September.
    13. Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2012. "Forecasting with spatial panel data," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3381-3397.
    14. Kain, John F. & Liu, Zvi, 1999. "Secrets of success: assessing the large increases in transit ridership achieved by Houston and San Diego transit providers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(7-8), pages 601-624.
    15. Sakai, Hiroki & Shoji, Kenichi, 2010. "The effect of governmental subsidies and the contractual model on the publicly-owned bus sector in Japan," Research in Transportation Economics, Elsevier, vol. 29(1), pages 60-71.
    16. Savage, Ian, 2010. "The dynamics of fare and frequency choice in urban transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 815-829, December.
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    Cited by:

    1. Di Yao & Liqun Xu & Jinpei Li, 2019. "Evaluating the Performance of Public Transit Systems: A Case Study of Eleven Cities in China," Sustainability, MDPI, vol. 11(13), pages 1-21, June.
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    3. Yu, Chengcheng & Dong, Wentao & Liu, Yunhao & Yang, Chao & Yuan, Quan, 2024. "Rethinking bus ridership dynamics: Examining nonlinear effects of determinants on bus ridership changes using city-level panel data from 2010 to 2019," Transport Policy, Elsevier, vol. 151(C), pages 85-100.
    4. Wei Yu & Jun Chen & Xingchen Yan, 2019. "Space‒Time Evolution Analysis of the Nanjing Metro Network Based on a Complex Network," Sustainability, MDPI, vol. 11(2), pages 1-17, January.

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