IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v73y2018icp25-40.html
   My bibliography  Save this article

High-speed rail impacts on travel times, accessibility, and economic productivity: A benchmarking analysis in city-cluster regions of China

Author

Listed:
  • Liu, Liwen
  • Zhang, Ming

Abstract

The direct and wider impacts of high-speed rail (HSR) have long been the interest of academia and policy makers. Studies on China's experience just began to accumulate but remain inadequate given the size and speed of the country's HSR and regional growth. This paper reports a benchmark analysis of HSR impacts on travel times, accessibility, economic productivity, and regional disparity in the context of China's current growth initiative centered at city-cluster regions. The study utilized data from year 2006 without HSR and 2014 with HSR for 266 prefectural level cities and analyzed HSR's impacts at the spatial scales of nationwide, territorial regions, and city-cluster regions. In the study, travel times measured the city-to-city average travel times by rail, whereas accessibility analysis applied a gravity model of total employment. Three indicators of economic productivity were calculated: Gross Regional Product (GRP) per capita, per worker, and per square kilometer of built-up land. Finally, regression models framed around economics production theory were estimated. The main findings are: HSR contributed to travel times savings, accessibility enhancement, and productivity gain but with limitations. HSR reduced city-to-city travel times at a national average by 45% or 589 min. City-clusters in Western China, where the starting level of travel times were long, enjoyed a greater rail time reduction than other regions. HSR increased accessibility of all cities and regions; a simplified decomposition analysis estimated HSR's contribution being 25–45% of total accessibility change. Access disparity within most city-cluster regions decreased, whereas the between-region gaps remained during the study period. The study estimated HSR elasticity of GRP per capita being 0.28 nationwide. Responses to HSR varied greatly among city-clusters when measured in GRP per worker and per built-up area terms. As China's HSR network continues to expand, optimizing HSR impacts should focus on integrating fully with other transportation modes and fitting well with national and local development initiatives.

Suggested Citation

  • Liu, Liwen & Zhang, Ming, 2018. "High-speed rail impacts on travel times, accessibility, and economic productivity: A benchmarking analysis in city-cluster regions of China," Journal of Transport Geography, Elsevier, vol. 73(C), pages 25-40.
  • Handle: RePEc:eee:jotrge:v:73:y:2018:i:c:p:25-40
    DOI: 10.1016/j.jtrangeo.2018.09.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692318301327
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jtrangeo.2018.09.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jiao, Jingjuan & Wang, Jiaoe & Jin, Fengjun, 2017. "Impacts of high-speed rail lines on the city network in China," Journal of Transport Geography, Elsevier, vol. 60(C), pages 257-266.
    2. World Bank, 2014. "Regional Economic Impact Analysis of High Speed Rail in China : Step by Step Guide," World Bank Publications - Reports 19999, The World Bank Group.
    3. Sands, Brian D., 1993. "The Development Effects of High-Speed Rail Stations and Implications for California," University of California Transportation Center, Working Papers qt13t478sf, University of California Transportation Center.
    4. Jia, Shanming & Zhou, Chunyu & Qin, Chenglin, 2017. "No difference in effect of high-speed rail on regional economic growth based on match effect perspective?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 144-157.
    5. Cao, Jing & Liu, Xiaoyue Cathy & Wang, Yinhai & Li, Qingquan, 2013. "Accessibility impacts of China’s high-speed rail network," Journal of Transport Geography, Elsevier, vol. 28(C), pages 12-21.
    6. Zhenhua Chen & Kingsley E. Haynes, 2015. "Impact of high-speed rail on international tourism demand in China," Applied Economics Letters, Taylor & Francis Journals, vol. 22(1), pages 57-60, January.
    7. Chia-Lin Chen & Roger Vickerman, 2017. "Can transport infrastructure change regions’ economic fortunes? Some evidence from Europe and China," Regional Studies, Taylor & Francis Journals, vol. 51(1), pages 144-160, January.
    8. Jared Hewko & Karen E Smoyer-Tomic & M John Hodgson, 2002. "Measuring Neighbourhood Spatial Accessibility to Urban Amenities: Does Aggregation Error Matter?," Environment and Planning A, , vol. 34(7), pages 1185-1206, July.
    9. Dobruszkes, Frédéric, 2011. "High-speed rail and air transport competition in Western Europe: A supply-oriented perspective," Transport Policy, Elsevier, vol. 18(6), pages 870-879, November.
    10. Chen, Chia-Lin & Hall, Peter, 2012. "The wider spatial-economic impacts of high-speed trains: a comparative case study of Manchester and Lille sub-regions," Journal of Transport Geography, Elsevier, vol. 24(C), pages 89-110.
    11. James Jixian Wang & Jiang Xu & Jianfeng He, 2013. "Spatial Impacts of High-Speed Railways in China: A Total-Travel-Time Approach," Environment and Planning A, , vol. 45(9), pages 2261-2280, September.
    12. Shao, Shuai & Tian, Zhihua & Yang, Lili, 2017. "High speed rail and urban service industry agglomeration: Evidence from China's Yangtze River Delta region," Journal of Transport Geography, Elsevier, vol. 64(C), pages 174-183.
    13. Shaw, Shih-Lung & Fang, Zhixiang & Lu, Shiwei & Tao, Ran, 2014. "Impacts of high speed rail on railroad network accessibility in China," Journal of Transport Geography, Elsevier, vol. 40(C), pages 112-122.
    14. Vicente Inglada & GinÊs de Rus, 1997. "Cost-benefit analysis of the high-speed train in Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(2), pages 175-188.
    15. Campa, Juan Luis & López-Lambas, María Eugenia & Guirao, Begoña, 2016. "High speed rail effects on tourism: Spanish empirical evidence derived from China's modelling experience," Journal of Transport Geography, Elsevier, vol. 57(C), pages 44-54.
    16. Gerald Ollivier & Jitendra Sondhi & Nanyan Zhou, 2014. "High-Speed Railways in China," World Bank Publications - Reports 25483, The World Bank Group.
    17. Fu, Xiaowen & Zhang, Anming & Lei, Zheng, 2012. "Will China’s airline industry survive the entry of high-speed rail?," Research in Transportation Economics, Elsevier, vol. 35(1), pages 13-25.
    18. Campano, Fred & Salvatore, Dominick, 2006. "Income Distribution," OUP Catalogue, Oxford University Press, number 9780195300918.
    19. Cascetta, Ennio & Papola, Andrea & Pagliara, Francesca & Marzano, Vittorio, 2011. "Analysis of mobility impacts of the high speed Rome–Naples rail link using withinday dynamic mode service choice models," Journal of Transport Geography, Elsevier, vol. 19(4), pages 635-643.
    20. Wang, Kun & Xia, Wenyi & Zhang, Anming, 2017. "Should China further expand its high-speed rail network? Consider the low-cost carrier factor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 105-120.
    21. Kim, Hyojin & Sultana, Selima, 2015. "The impacts of high-speed rail extensions on accessibility and spatial equity changes in South Korea from 2004 to 2018," Journal of Transport Geography, Elsevier, vol. 45(C), pages 48-61.
    22. Chen, Zhenhua & Haynes, Kingsley E., 2015. "Impact of high speed rail on housing values: an observation from the Beijing–Shanghai line," Journal of Transport Geography, Elsevier, vol. 43(C), pages 91-100.
    23. Chen, Chia-Lin, 2012. "Reshaping Chinese space-economy through high-speed trains: opportunities and challenges," Journal of Transport Geography, Elsevier, vol. 22(C), pages 312-316.
    24. Clewlow, Regina R. & Sussman, Joseph M. & Balakrishnan, Hamsa, 2014. "The impact of high-speed rail and low-cost carriers on European air passenger traffic," Transport Policy, Elsevier, vol. 33(C), pages 136-143.
    25. World Bank, 2014. "Regional Economic Impact Analysis of High Speed Rail in China : Main Report," World Bank Publications - Reports 19996, The World Bank Group.
    26. Gerald Ollivier & Richard Bullock & Jin Ying & Nanyan Zhou, 2014. "High-Speed Railways in China," World Bank Publications - Reports 25480, The World Bank Group.
    27. Jiao, Jingjuan & Wang, Jiaoe & Jin, Fengjun & Dunford, Michael, 2014. "Impacts on accessibility of China’s present and future HSR network," Journal of Transport Geography, Elsevier, vol. 40(C), pages 123-132.
    28. Lamia Kamal-Chaoui & Edward Leeman & Zhang Rufei, 2009. "Urban Trends and Policy in China," OECD Regional Development Working Papers 2009/1, OECD Publishing.
    29. Melo, Patricia C. & Graham, Daniel J. & Brage-Ardao, Ruben, 2013. "The productivity of transport infrastructure investment: A meta-analysis of empirical evidence," Regional Science and Urban Economics, Elsevier, vol. 43(5), pages 695-706.
    30. ., 2006. "Income Distribution," Chapters, in: David Alexander Clark (ed.), The Elgar Companion to Development Studies, chapter 55, Edward Elgar Publishing.
    31. Zhang, Qiong & Yang, Hangjun & Wang, Qiang, 2017. "Impact of high-speed rail on China’s Big Three airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 77-85.
    32. Xianwei Fan & Dan Zheng & Minjun Shi, 2016. "How Does Land Development Promote China’s Urban Economic Growth? The Mediating Effect of Public Infrastructure," Sustainability, MDPI, vol. 8(3), pages 1-12, March.
    33. Frédéric Dobruszkes, 2011. "High-speed rail and air transport competition in Western Europe: A supply-oriented perspective," ULB Institutional Repository 2013/96164, ULB -- Universite Libre de Bruxelles.
    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. Zhang, Anming & Wan, Yulai & Yang, Hangjun, 2019. "Impacts of high-speed rail on airlines, airports and regional economies: A survey of recent research," Transport Policy, Elsevier, vol. 81(C), pages 1-19.
    2. (Ato) Xu, Wangtu & Zhou, Jiangping & Yang, Linchuan & Li, Ling, 2018. "The implications of high-speed rail for Chinese cities: Connectivity and accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 308-326.
    3. Yu, Danlin & Murakami, Daisuke & Zhang, Yaojun & Wu, Xiwei & Li, Ding & Wang, Xiaoxi & Li, Guangdong, 2020. "Investigating high-speed rail construction's support to county level regional development in China: An eigenvector based spatial filtering panel data analysis," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 21-37.
    4. Mohsen Momenitabar & Zhila Dehdari Ebrahimi & Mohammad Arani, 2020. "A Systematic and Analytical Review of the Socioeconomic and Environmental Impact of the Deployed High-Speed Rail (HSR) Systems on the World," Papers 2003.04452, arXiv.org, revised Mar 2020.
    5. Wang, Lei, 2018. "High-speed rail services development and regional accessibility restructuring in megaregions: A case of the Yangtze River Delta, China," Transport Policy, Elsevier, vol. 72(C), pages 34-44.
    6. Huang, Yan & Zong, Huiming, 2020. "The spatial distribution and determinants of China’s high-speed train services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 56-70.
    7. Liu, Shuli & Wan, Yulai & Ha, Hun-Koo & Yoshida, Yuichiro & Zhang, Anming, 2019. "Impact of high-speed rail network development on airport traffic and traffic distribution: Evidence from China and Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 115-135.
    8. Mohsen Momenitabar & Raj Bridgelall & Zhila Dehdari Ebrahimi & Mohammad Arani, 2021. "Literature Review of Socioeconomic and Environmental Impacts of High-Speed Rail in the World," Sustainability, MDPI, vol. 13(21), pages 1-27, November.
    9. Sun, Xinyu & Yan, Sen & Liu, Tao & Wang, Jiayin, 2023. "The impact of high-speed rail on urban economy: Synergy with urban agglomeration policy," Transport Policy, Elsevier, vol. 130(C), pages 141-154.
    10. Jiao, Jingjuan & Wang, Jiaoe & Zhang, Fangni & Jin, Fengjun & Liu, Wei, 2020. "Roles of accessibility, connectivity and spatial interdependence in realizing the economic impact of high-speed rail: Evidence from China," Transport Policy, Elsevier, vol. 91(C), pages 1-15.
    11. Xu, Wangtu (Ato) & Zhou, Jiangping & Qiu, Guo, 2018. "China's high-speed rail network construction and planning over time: a network analysis," Journal of Transport Geography, Elsevier, vol. 70(C), pages 40-54.
    12. Huang, Ying & Xu, Wangtu (Ato), 2021. "Spatial and temporal heterogeneity of the impact of high-speed railway on urban economy: Empirical study of Chinese cities," Journal of Transport Geography, Elsevier, vol. 91(C).
    13. Yu, Danlin & Zhang, Yaojun & Wu, Xiwei & Li, Ding & Li, Guangdong, 2021. "The varying effects of accessing high-speed rail system on China’s county development: A geographically weighted panel regression analysis," Land Use Policy, Elsevier, vol. 100(C).
    14. Wu, Shuping & Han, Dan, 2022. "Accessibility of high-speed rail (HSR) stations and HSR–air competition: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 262-284.
    15. Daniel Albalate & Germá Bel, 2015. "La experiencia internacional en alta velocidad ferroviaria," Working Papers 2015-02, FEDEA.
    16. Daniel Albalate del sol, 2015. "Evaluating HSR availability on Tourism: Evidence from Spanish Provinces and Cities," ERSA conference papers ersa15p288, European Regional Science Association.
    17. Xinshuo Hou, 2019. "High-Speed Railway and City Tourism in China: A Quasi-Experimental Study on HSR Operation," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
    18. Duan, Liaoliao & Sun, Weizeng & Zheng, Siqi, 2020. "Transportation network and venture capital mobility: An analysis of air travel and high-speed rail in China," Journal of Transport Geography, Elsevier, vol. 88(C).
    19. Wang, Lei & Yuan, Feng & Duan, Xuejun, 2018. "How high-speed rail service development influenced commercial land market dynamics: A case study of Jiangsu province, China," Journal of Transport Geography, Elsevier, vol. 72(C), pages 248-257.
    20. Liwen Liu & Ming Zhang, 2021. "The Impacts of High-Speed Rail on Regional Accessibility and Spatial Development—Updated Evidence from China’s Mid-Yangtze River City-Cluster Region," Sustainability, MDPI, vol. 13(8), pages 1-16, April.

    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:eee:jotrge:v:73:y:2018:i:c:p:25-40. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-transport-geography .

    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.