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Accessibility impact of the present and future high-speed rail network: A case study of Jiangsu Province, China

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  • Wang, Lvhua
  • Liu, Yongxue
  • Sun, Chao
  • Liu, Yahui

Abstract

The large-scale implementation of a high-speed rail (HSR) network is often considered to have a significant effect on the spatial distribution of accessibility. In China, the development of HSR network has progressed rapidly since the first line commenced operation in 2008. As an important component of this network, Jiangsu province proposed an ambitious HSR construction program which planned to cover over 95% of its counties by 2030. Reduced travel time for passengers is one of the most important effects of HSR, and therefore this study aims to analyze the accessibility impact of the evolving HSR network in Jiangsu province from 2010–2030. A layered cost distance method, based on a door-to-door approach, is proposed to evaluate the present and future accessibility at a more detailed geographical level. The results demonstrate that, with the gradual development of the HSR network, accessibility levels across the province will be improved by about 9.6%, and the distribution of the gains will be uneven since the most significant improvements will occur in the more peripheral areas. The inequality in regional accessibility will decrease by an average of 25.7%, which will produce a more homogeneous accessibility landscape. In addition, several policy measures are suggested in order to further enhance the competitiveness of the HSR network in the transport market at a regional level. This extended period of exploratory and detailed analysis is expected to facilitate proactive public policy decisions related to improving the transport network.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jotrge:v:54:y:2016:i:c:p:161-172
    DOI: 10.1016/j.jtrangeo.2016.05.015
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    References listed on IDEAS

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    1. Lane, Bradley W., 2012. "On the utility and challenges of high-speed rail in the United States," Journal of Transport Geography, Elsevier, vol. 22(C), pages 282-284.
    2. Hou, Quan & Li, Si-Ming, 2011. "Transport infrastructure development and changing spatial accessibility in the Greater Pearl River Delta, China, 1990–2020," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1350-1360.
    3. Chandra, Shailesh & Vadali, Sharada, 2014. "Evaluating accessibility impacts of the proposed America 2050 high-speed rail corridor for the Appalachian Region," Journal of Transport Geography, Elsevier, vol. 37(C), pages 28-46.
    4. Levinson, David M., 2012. "Accessibility impacts of high-speed rail," Journal of Transport Geography, Elsevier, vol. 22(C), pages 288-291.
    5. Axhausen, K.W. & Froelich, P. & Tschopp, M., 2011. "Changes in Swiss accessibility since 1850," Research in Transportation Economics, Elsevier, vol. 31(1), pages 72-80.
    6. 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.
    7. 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.
    8. Salonen, Maria & Toivonen, Tuuli, 2013. "Modelling travel time in urban networks: comparable measures for private car and public transport," Journal of Transport Geography, Elsevier, vol. 31(C), pages 143-153.
    9. 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.
    10. Kotavaara, Ossi & Antikainen, Harri & Rusanen, Jarmo, 2011. "Population change and accessibility by road and rail networks: GIS and statistical approach to Finland 1970–2007," Journal of Transport Geography, Elsevier, vol. 19(4), pages 926-935.
    11. Koopmans, Carl & Rietveld, Piet & Huijg, Aart, 2012. "An accessibility approach to railways and municipal population growth, 1840–1930," Journal of Transport Geography, Elsevier, vol. 25(C), pages 98-104.
    12. 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.
    13. Páez, Antonio & Scott, Darren M. & Morency, Catherine, 2012. "Measuring accessibility: positive and normative implementations of various accessibility indicators," Journal of Transport Geography, Elsevier, vol. 25(C), pages 141-153.
    14. S L Handy & D A Niemeier, 1997. "Measuring Accessibility: An Exploration of Issues and Alternatives," Environment and Planning A, , vol. 29(7), pages 1175-1194, July.
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