IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i11p1187-d83151.html
   My bibliography  Save this article

The Impact of High-Speed Rail on Residents’ Travel Behavior and Household Mobility: A Case Study of the Beijing-Shanghai Line, China

Author

Listed:
  • Hongsheng Chen

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Dongqi Sun

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing 100101, China)

  • Zhenjun Zhu

    (School of Transportation, Southeast University, Nanjing 210096, China)

  • Jun Zeng

    (School of Transportation, Southeast University, Nanjing 210096, China)

Abstract

With the improvement of China’s high-speed rail network, there have been many economic and social benefits for local residents. Based on a questionnaire conducted in stations on the Beijing-Shanghai line, and through an analysis of high-speed rail passenger travel behavior and family relocation, we explored the social effects of high-speed rail. The study found that high-speed rail passengers are mainly young, highly educated, and have a middle to high income. However, with the popularization of high-speed rail, such differences in the social stratum of high-speed rail passengers are expected to disappear. Through an analysis of passenger travel status, we found that the areas surrounding high-speed rail stations are very accessible to the main cities, and are well connected by other public transport. With the emergence of the “high mobility era” based on the high-speed rail network, the separation of workplace and residence and the number of “double city” households are increasing, primarily in the Beijing-Tianjin and Shanghai-Nanjing (especially in Suzhou-Kunshan-Shanghai) regions. In addition, high-speed rail introduces the possibility of household mobility, with 22.7% of the respondents in this study having relocated since the Beijing-Shanghai line opened. Household mobility is apparent primarily among big cities, with movement toward nearby cities. We also found that occupation, income, residence time, and schooling of children have a significant impact on households. With the improvement of high-speed rail networks, household mobility will become a common phenomenon and research on domestic mobility will continue to increase.

Suggested Citation

  • Hongsheng Chen & Dongqi Sun & Zhenjun Zhu & Jun Zeng, 2016. "The Impact of High-Speed Rail on Residents’ Travel Behavior and Household Mobility: A Case Study of the Beijing-Shanghai Line, China," Sustainability, MDPI, vol. 8(11), pages 1-14, November.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:11:p:1187-:d:83151
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/11/1187/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/8/11/1187/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Button, Kenneth, 2012. "Is there any economic justification for high-speed railways in the United States?," Journal of Transport Geography, Elsevier, vol. 22(C), pages 300-302.
    2. Wang, Lvhua & Liu, Yongxue & Sun, Chao & Liu, Yahui, 2016. "Accessibility impact of the present and future high-speed rail network: A case study of Jiangsu Province, China," Journal of Transport Geography, Elsevier, vol. 54(C), pages 161-172.
    3. Mi Diao & Yi Zhu & Jiren Zhu, 2017. "Intra-city access to inter-city transport nodes: The implications of high-speed-rail station locations for the urban development of Chinese cities," Urban Studies, Urban Studies Journal Limited, vol. 54(10), pages 2249-2267, August.
    4. 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.
    5. Andersson, David Emanuel & Shyr, Oliver F. & Fu, Johnson, 2010. "Does high-speed rail accessibility influence residential property prices? Hedonic estimates from southern Taiwan," Journal of Transport Geography, Elsevier, vol. 18(1), pages 166-174.
    6. Mu, Rui & de Jong, Martin & Ma, Yongchi & Xi, Bao, 2015. "Trading off public values in High-Speed Rail development in China," Journal of Transport Geography, Elsevier, vol. 43(C), pages 66-77.
    7. 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.
    8. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    9. Jan K. Brueckner, 2000. "Urban Sprawl: Diagnosis and Remedies," International Regional Science Review, , vol. 23(2), pages 160-171, April.
    10. Zhang, Wenxin & Nian, Peihao & Lyu, Guowei, 2016. "A multimodal approach to assessing accessibility of a high-speed railway station," Journal of Transport Geography, Elsevier, vol. 54(C), pages 91-101.
    11. Chris Thompson & Tim Bawden, 1992. "What are the Potential Economic Development Impacts of High-Speed Rail?," Economic Development Quarterly, , vol. 6(3), pages 297-319, August.
    12. Yaohui Zhao, 1999. "Leaving the Countryside: Rural-to-Urban Migration Decisions in China," American Economic Review, American Economic Association, vol. 89(2), pages 281-286, May.
    13. 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.
    14. Shuangshuang Tang & Michel Savy & Jean-François Doulet, 2011. "High speed rail in China and its potential impacts on urban and regional development," Local Economy, London South Bank University, vol. 26(5), pages 409-422, August.
    15. Campos, Javier & de Rus, Ginés, 2009. "Some stylized facts about high-speed rail: A review of HSR experiences around the world," Transport Policy, Elsevier, vol. 16(1), pages 19-28, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zou, Youfeng & Song, Mingwei & Zhang, Wenzhi & Wang, Zijian, 2023. "The impact of high-speed rail construction on the development of resource-based cities: A temporal and spatial perspective," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    2. Zhang, Yanyan & Ma, Wenliang & Yang, Hangjun & Wang, Qiang, 2021. "Impact of high-speed rail on urban residents’ consumption in China—from a spatial perspective," Transport Policy, Elsevier, vol. 106(C), pages 1-10.
    3. 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.
    4. A. A. Romashina, 2021. "How Express Trains from Moscow Affect Population Mobility," Regional Research of Russia, Springer, vol. 11(1), pages 61-70, January.
    5. Ji Han & Jiabin Liu, 2018. "Urban Spatial Interaction Analysis Using Inter-City Transport Big Data: A Case Study of the Yangtze River Delta Urban Agglomeration of China," Sustainability, MDPI, vol. 10(12), pages 1-16, November.
    6. Xiaomin Wang & Wenxin Zhang, 2019. "Efficiency and Spatial Equity Impacts of High-Speed Rail on the Central Plains Economic Region of China," Sustainability, MDPI, vol. 11(9), pages 1-18, May.
    7. Voltes-Dorta, Augusto & Becker, Eliad, 2018. "The potential short-term impact of a Hyperloop service between San Francisco and Los Angeles on airport competition in California," Transport Policy, Elsevier, vol. 71(C), pages 45-56.

    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. 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.
    2. Lin, Jen-Jia & Xie, Ze-Xing, 2020. "The associations of newly launched high-speed rail stations with industrial gentrification," Journal of Transport Geography, Elsevier, vol. 83(C).
    3. Liu, Xueli & Jiang, Chunxia & Wang, Feng & Yao, Shujie, 2021. "The impact of high-speed railway on urban housing prices in China: A network accessibility perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 84-99.
    4. Cartenì, Armando & Pariota, Luigi & Henke, Ilaria, 2017. "Hedonic value of high-speed rail services: Quantitative analysis of the students’ domestic tourist attractiveness of the main Italian cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 348-365.
    5. Zhao, Yun & Yu, Hongbo, 2018. "A door-to-door travel time approach for evaluating modal competition of intercity travel: A focus on the proposed Dallas-Houston HSR route," Journal of Transport Geography, Elsevier, vol. 72(C), pages 13-22.
    6. Tanaka, Koichi, 2023. "Impacts of the opening of the maglev railway on daily accessibility in Japan: A comparative analysis with that of the Shinkansen," Journal of Transport Geography, Elsevier, vol. 106(C).
    7. Kim, Hyojin & Sultana, Selima & Weber, Joe, 2018. "A geographic assessment of the economic development impact of Korean high-speed rail stations," Transport Policy, Elsevier, vol. 66(C), pages 127-137.
    8. Huang, Zhonghua & Du, Xuejun, 2021. "How does high-speed rail affect land value? Evidence from China," Land Use Policy, Elsevier, vol. 101(C).
    9. Chen, Zhenhua, 2023. "Socioeconomic Impacts of high-speed rail: A bibliometric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    10. Zheng, Longfei & Long, Fenjie & Chang, Zheng & Ye, Jingsong, 2019. "Ghost town or city of hope? The spatial spillover effects of high-speed railway stations in China," Transport Policy, Elsevier, vol. 81(C), pages 230-241.
    11. 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.
    12. 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.
    13. Chou, Jui-Sheng & Chien, Ya-Ling & Nguyen, Ngoc-Mai & Truong, Dinh-Nhat, 2018. "Pricing policy of floating ticket fare for riding high speed rail based on time-space compression," Transport Policy, Elsevier, vol. 69(C), pages 179-192.
    14. 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).
    15. Li, Xijing & Huang, Bo & Li, Rongrong & Zhang, Yipei, 2016. "Exploring the impact of high speed railways on the spatial redistribution of economic activities - Yangtze River Delta urban agglomeration as a case study," Journal of Transport Geography, Elsevier, vol. 57(C), pages 194-206.
    16. (Ato) Xu, Wangtu & Huang, Ying, 2019. "The correlation between HSR construction and economic development – Empirical study of Chinese cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 24-36.
    17. Yu, Miao & Fan, Wei, 2018. "Accessibility impact of future high speed rail corridor on the piedmont Atlantic megaregion," Journal of Transport Geography, Elsevier, vol. 73(C), pages 1-12.
    18. 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.
    19. Daniel Albalate & Germá Bel, 2015. "La experiencia internacional en alta velocidad ferroviaria," Working Papers 2015-02, FEDEA.
    20. Wang, Bo & Li, Fan & Feng, Shuyi & Shen, Tong, 2020. "Transfer of development rights, farmland preservation, and economic growth: a case study of Chongqing’s land quotas trading program," Land Use Policy, Elsevier, vol. 95(C).

    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:8:y:2016:i:11:p:1187-:d:83151. 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.