WANG Yafei, YUAN Hui, CHEN Biyu, LI Qingquan, WAN Meng, WANG Jiayao, GUO Jianzhong. Measuring Place-Based Accessibility Under Travel Time Uncertainty[J]. Geomatics and Information Science of Wuhan University, 2019, 44(11): 1723-1729. DOI: 10.13203/j.whugis20180015
Citation: WANG Yafei, YUAN Hui, CHEN Biyu, LI Qingquan, WAN Meng, WANG Jiayao, GUO Jianzhong. Measuring Place-Based Accessibility Under Travel Time Uncertainty[J]. Geomatics and Information Science of Wuhan University, 2019, 44(11): 1723-1729. DOI: 10.13203/j.whugis20180015

Measuring Place-Based Accessibility Under Travel Time Uncertainty

Funds: 

The National Natural Science Foundation of China 41571149

the Natural Science Foundation of Hubei Province 2016CFB568

More Information
  • Author Bio:

    WANG Yafei, PhD candidate, specializes in spatial-temporal big data analysis and mining. E-mail:wangyafei@whu.edu.cn

  • Corresponding author:

    CHEN Biyu, PhD, associate professor. E-mail: chen.biyu@whu.edu.cn

  • Received Date: July 09, 2018
  • Published Date: November 04, 2019
  • Conventional place-based accessibility measures do not take into account travel time uncertainty and the time-varying effects of competition on the demand side. To fill this gap, we extend previous place-based accessibility measure, and propose a place-based space-time utility accessibility evaluation framework for urban area by considering travel time uncertainty and the time-varying effects of competition on the demand side. The accessibility of a location is conceptualized as the space-time utility offered by a set of accessible facilities from the location. To demonstrate the applicability of the proposed framework, a case study using large-scale taxi tracking data and the UGC data in Shenzhen is carried out to analyze the accessibility distribution to food services. The results of the case study indicate that the proposed accessibility measure can evaluate urban accessibility distribution more accurately than the traditional place-based accessibility measure.
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