期刊
JOURNAL OF TRANSPORT GEOGRAPHY
卷 54, 期 -, 页码 161-172出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jtrangeo.2016.05.015
关键词
High-speed rail; Weighted average travel time; Daily accessibility; Potential accessibility; Layered cost distance; Door-to-door approach
资金
- National Natural Science Foundation of China [41471068, 41171325, 41230751]
- Program for New Century Excellent Talents in University [NCET-12-0264]
- Fundamental Research Funds for the Central Universities
- Priority Academic Program Development of the Jiangsu Higher Education Institutions (PAPD)
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. (C) 2016 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据