Journal of Geo-information Science ›› 2023, Vol. 25 ›› Issue (3): 439-449.doi: 10.12082/dqxxkx.2023.220495

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Evaluation of Improvement of Public Transport Accessibility Considering Riding Instead of Walking

GAO Shunxiang1(), CHEN Zhen1, ZHANG Zhijian1, CHEN Yue1, XIAO Zhongsheng1, DENG Jin1,2, XU Qi1,3,*()   

  1. 1. Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing 100044, China
    2. Beijing Urban Construction Transport Planning & Design Institute Co. Limited, Beijing 100037, China
    3. Integrated Transportation Research Centre, Beijing Jiaotong University, Beijing 100044, China
  • Received:2022-07-08 Revised:2022-09-13 Online:2023-03-25 Published:2023-04-19
  • Contact: XU Qi E-mail:20120807@bjtu.edu.cn;xuqi@bjtu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(71621001);National Natural Science Foundation of China(71971021)

Abstract:

Improving the slow travel environment at public transport stations is a key issue to enhance the competitiveness of green transportation. It is an important measure to improve the service level of public transportation to further coordinate public transportation, especially the end connection between urban rail transit and slow traffic, and to open up the ' last mile '. Existing studies mostly analyze the improvement of travel efficiency at bus stations, and do not fully consider the interaction between urban public transport system and land use. Achieving good accessibility is the main goal of building a livable city, and the spatial analysis of public transport accessibility provides a core indicator to measure the integration of public transport and urban development. As a location-based accessibility evaluation method, the cumulative opportunity method has advantages in understanding the relationship between transportation and land use and is easy to use. To this end, we construct a “door-to-door” fine-scale public transport trip chain based on multi-source traffic big data and develop a two-step calculation method to compute travel time of public transport under two modes of walking and cycling. The two-step calculation of this method has the characteristics of less calculation and flexible data update mechanism, which is suitable for the study of public transport accessibility at large spatial scale. A case study based on Beijing in 2020 shows that the average travel time of public transport via cycling is reduced by 315 seconds and 12.8%. Improvement of travel efficiency at stations improves the public transport accessibility for urban activities such as employment, health care, catering, green space, shopping, and leisure. The improvement range is 90%, 74%, 94%, 33%, 107%, and 77%, respectively, and the improved areas are concentrated in the central urban area and the surrounding residential areas. In addition, the improvement effect of accessibility of public transport shows a spatial feature of a radial-decreasing circular structure. As the main network of public transport, urban rail transit presents an improvement in employment, medical treatment, catering, green space, shopping, and leisure activities by 1.43, 1.43, 1.70, 1.42, 1.70, and 1.71 times, respectively, compared to ground bus. The results show that compared with the ground bus system, cycling substitution will significantly improve the integration of rail transit and city. According to the co-opetition relationship between rail transit and ground bus, rational allocation of bicycle facilities and optimization of shared bicycles will further increase the competitiveness of green transportation.

Key words: urban public transport, green transportation, "first-and-last mile" problem of transit, terminal connection, accessibility analysis, full trip chain, spatial heterogeneity, multi-source big data