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

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.

[1]  Elena López,et al.  Measuring territorial cohesion impacts of High-Speed Rail at different planning levels , 2011 .

[2]  O. Kotavaara,et al.  Population change and accessibility by road and rail networks: GIS and statistical approach to Finland 1970-2007 , 2011 .

[3]  A. Páez,et al.  Measuring accessibility: positive and normative implementations of various accessibility indicators , 2012 .

[4]  Zhixiang Fang,et al.  Impacts of high speed rail on railroad network accessibility in China , 2014 .

[5]  Adelheid Holl,et al.  Twenty years of accessibility improvements. The case of the Spanish motorway building programme , 2007 .

[6]  Chia-Lin Chen,et al.  Reshaping Chinese space-economy through high-speed trains: opportunities and challenges , 2012 .

[7]  Javier Gutiérrez,et al.  The impact of orbital motorways on intra-metropolitan accessibility: the case of Madrid's M-40 , 1999 .

[8]  Fengjun Jin,et al.  Impacts on accessibility of China’s present and future HSR network , 2014 .

[9]  Wang Jiao Competition and cooperation of high-speed rail and air transport in China: A perspective from spatial service market view , 2013 .

[10]  Kay W. Axhausen,et al.  Changes in Swiss Accessibility since 1850 , 2005 .

[11]  Andres Monzon,et al.  Evaluating the European added value of TEN-T projects: a methodological proposal based on spatial spillovers, accessibility and GIS , 2011 .

[12]  Qingquan Li,et al.  Accessibility Impacts of China's High-Speed Rail Network , 2013 .

[13]  Luca Bertolini,et al.  The effects of the high-speed railway on urban development: International experience and potential implications for China , 2015 .

[14]  Piet Rietveld,et al.  An accessibility approach to railways and municipal population growth, 1840-1930 , 2012 .

[15]  Tuuli Toivonen,et al.  Modelling travel time in urban networks: comparable measures for private car and public transport , 2013 .

[16]  Quanhua Hou,et al.  Transport infrastructure development and changing spatial accessibility in the Greater Pearl River Delta, China, 1990–2020 , 2011 .

[17]  Emilio Ortega Pérez,et al.  Road and railway accessibility atlas of Spain , 2011 .

[18]  J. Gutiérrez Location, economic potential and daily accessibility: an analysis of the accessibility impact of the high-speed line Madrid–Barcelona–French border , 2001 .

[19]  Bradley W. Lane On the utility and challenges of high-speed rail in the United States , 2012 .

[20]  Sharada Vadali,et al.  Evaluating accessibility impacts of the proposed America 2050 high-speed rail corridor for the Appalachian Region , 2014 .

[21]  Elena López,et al.  Measuring Regional Cohesion Effects of Large-scale Transport Infrastructure Investments: An Accessibility Approach , 2008 .

[22]  Peter Dannenberg,et al.  Isochronal Map of Fresh Fruits and Vegetable Transportation from the Mt. Kenya Region to Nairobi , 2011 .

[23]  中華人民共和国国家統計局 China statistical yearbook , 1988 .

[24]  David M Levinson,et al.  Accessibility Impacts of High Speed Rail , 2012 .

[25]  Maddi Garmendia,et al.  High speed rail: implication for cities , 2012 .

[26]  Debbie A. Niemeier,et al.  Measuring Accessibility: An Exploration of Issues and Alternatives , 1997 .

[27]  Concepción Román,et al.  Data Envelopment Analysis (DEA) Index to Measure the Accessibility Impacts of New Infrastructure Investments: The Case of the High- speed Train Corridor Madrid-Barcelona-French Border , 2004 .

[28]  Zhang-An Li,et al.  Regional accessibility of land traffic network in the Yangtze River Delta , 2007 .

[29]  Bert van Wee,et al.  Accessibility evaluation of land-use and transport strategies: review and research directions , 2004 .