Journal of Chongqing Jiaotong University Social Sciences Edition ›› 2022, Vol. 22 ›› Issue (4): 23-28.

Previous Articles     Next Articles

Spatial Measurement and Evaluation of Land Traffic Accessibility Based on GIS

HUANG Chenfeng, TIAN Shaobin, ZHENG Shuxin   

  1. Chongqing Jiaotong University, Chongqing 400074, China
  • Online:2022-07-18 Published:2022-07-12

基于GIS 的陆路交通可达性空间测度与评价

黄承锋,田少斌,郑淑心   

  1. 重庆交通大学,重庆 400074
  • 作者简介:黄承锋,男,重庆交通大学经济与管理学院教授,博士,博士生导师;田少斌(通讯作者),男,重庆交通大学交通运输学院硕士研究生;郑淑心,女,重庆交通大学交通运输学院硕士研究生。
  • 基金资助:
    重庆市教育委员会哲学社会科学重大理论研究阐释专项重大项目“重庆推进内陆开放高地建设研究”(19SKZDZX09)

Abstract: Based on the methods of GIS spatial analysis and network analysis, this paper makes a quantitative study on the accessibility of highway, railway and comprehensive transportation network in ChengduChongqing economic circle, and uses the gravity model and potential model to measure and compare the spatial function intensity and potential value of cities in the region. The results show that it has formed a spatial distribution pattern of average shortest travel time with Chengdu and Chongqing as the core advantage area and the main axis of Chengdu and Chongqing gradually rising to the north and south poles, with obvious gradient characteristics. The calculation results of gravity model show that the region as a whole forms a radiation driving center centered on Chengdu and Chongqing, and the radiation driving effect on other cities in the region is greatly different due to the influence of regional location, traffic distance and road accessibility. The distribution trend of potential value is roughly centered on the core cities, and gradually decreases around.

Key words: GIS, ChengduChongqing economic circle, traffic accessibility, weighted shortest average travel time, urban space

摘要: 基于GIS空间分析法和网络分析法,以成渝地区双城经济圈进行实证研究,定量研究区域陆路交通网络可达性,采用引力模型、潜力模型,定量测度和比较分析区域内城市空间作用强度、潜力值。结果表明:形成以成都、重庆为双核的优势区域,以成渝主轴向南北两极逐渐升高的平均最短旅行时间的空间分布格局;核心城市对区域内其他城市辐射带动作用受区域位置、距离、道路通达性影响而存在较大差异;潜力值的分布具有明显的梯度特征。

关键词: GIS, 成渝地区双城经济圈, 交通可达性, 加权最短平均旅行时间, 城市空间