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Measuring temporal variation of location-based accessibility using space-time utility perspective

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  • Wang, Yafei
  • Chen, Bi Yu
  • Yuan, Hui
  • Wang, Donggen
  • Lam, William H.K.
  • Li, Qingquan

Abstract

Conventional location-based accessibility measures are static and cannot represent accessibility fluctuations at different times of day. To fill this gap, this study proposes location-based space-time accessibility measures to capture the temporal variation of location-based accessibility. Using the space-time utility perspective, the accessibility of a location is conceptualized as the space-time utility offered by a set of facilities accessible from the location. Individuals' facility choice behaviors among multiple alternatives are explicitly considered. A time-dependent facility attractiveness function is introduced to represent the temporal variation of individuals' needs to perform activities at a certain facility. The introduced function is formulated as two components: a time-invariant component representing individual satisfactions derived from activity participation at the facility, and a time-varying component expressing individuals' dynamic intensities to perform a certain type of activities at different times of day. To demonstrate the applicability of these proposed measures, a comprehensive case study has been carried out in Wuhan, China. The results of the case study show that the proposed measures can well capture the temporal variation of accessibility, due to the dynamics both of traffic conditions and of individuals' intensities in performing activities at different times of day. The proposed measures require moderate level of data, in terms of rich facility information; and most of these data could be extracted from social media applications.

Suggested Citation

  • Wang, Yafei & Chen, Bi Yu & Yuan, Hui & Wang, Donggen & Lam, William H.K. & Li, Qingquan, 2018. "Measuring temporal variation of location-based accessibility using space-time utility perspective," Journal of Transport Geography, Elsevier, vol. 73(C), pages 13-24.
    • Handle: RePEc:eee:jotrge:v:73:y:2018:i:c:p:13-24
    DOI: 10.1016/j.jtrangeo.2018.10.002
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    6. Yujie Hu & Joni Downs, 2020. "Measuring and Visualizing Place-Based Space-Time Job Accessibility," Papers 2006.00268, arXiv.org.
    7. Xu, Minhao & Shuai, Bin & Wang, Xin & Liu, Hongyi & Zhou, Hui, 2023. "Analysis of the accessibility of connecting transport at High-speed rail stations from the perspective of departing passengers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    8. Helai Huang & Jialing Wu & Fang Liu & Yiwei Wang, 2020. "Measuring Accessibility Based on Improved Impedance and Attractive Functions Using Taxi Trajectory Data," Sustainability, MDPI, vol. 13(1), pages 1-23, December.
    9. Zhang, Hui & Cui, Houdun & Wang, Wei & Song, Wenbo, 2020. "Properties of Chinese railway network: Multilayer structures based on timetable data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
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    12. Fu, Xiao & Wu, Youqi & Huang, Di & Wu, Jianjun, 2022. "An activity-based model for transit network design and activity location planning in a three-party game framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    13. Rezaei, Nazanin & Todd-Blick, Annika & Fujita, K. Sydny & Popovich, Natalie & Needell, Zachary & Poliziani, Cristian & Caicedo, Juan David & Guirado, Carlos & Spurlock, C. Anna, 2024. "At the nexus of equity and transportation modeling: Assessing accessibility through the Individual Experienced Utility-Based Synthesis (INEXUS) metric," Journal of Transport Geography, Elsevier, vol. 115(C).
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    15. Josiane Palma Lima & Juliana da Camara Abitante & Nívea Adriana Dias Pons & Clara Moreira Senne, 2019. "A Spatial Fuzzy Multicriteria Analysis of Accessibility: A Case Study in Brazil," Sustainability, MDPI, vol. 11(12), pages 1-19, June.
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