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Measuring Cluster-Based Spatial Access to Shopping Stores under Real-Time Travel Time

Author

Listed:
  • Jiahui Qin

    (College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China
    Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China
    3D Information Collection and Application Key Lab of Education Ministry, Capital Normal University, Beijing 100048, China
    Beijing State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China)

  • Shijia Luo

    (College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China
    Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China
    3D Information Collection and Application Key Lab of Education Ministry, Capital Normal University, Beijing 100048, China
    Beijing State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China)

  • Disheng Yi

    (College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China
    Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China
    3D Information Collection and Application Key Lab of Education Ministry, Capital Normal University, Beijing 100048, China
    Beijing State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China)

  • Heping Jiang

    (College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China
    Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China
    3D Information Collection and Application Key Lab of Education Ministry, Capital Normal University, Beijing 100048, China
    Beijing State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China)

  • Jing Zhang

    (College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China
    Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China
    3D Information Collection and Application Key Lab of Education Ministry, Capital Normal University, Beijing 100048, China
    Beijing State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China)

Abstract

Shopping stores are an important part of retail facilities and indispensable public facilities in a city. They are not only concentrated in shopping malls, but also distributed independently throughout the city, and often agglomerated in space. This paper attempts to measure the rationality of the spatial layout of all shopping stores in the city. Residents will visit multiple shopping stores in one trip to meet their demands. Based on this characteristic, this paper studies shopping store clusters and proposes a cluster two-step floating catchment area (C-2SFCA) method to analyze the accessibility differences of shopping stores in urban areas. Using the case of Beijing within the Fifth Ring Road, this paper implements the C-2SFCA method in a study unit of traffic analysis zones (TAZ) considering three transport modes (car, public transport, walking) with the support of real-time travel time collected from an internet map. The results show that spatial accessibility differed greatly under different transport modes and also had an uneven distribution pattern. Among these three results, the spatial variation of public transport accessibility was the highest. The results can provide references for urban planners in facility configuration and decision-making.

Suggested Citation

  • Jiahui Qin & Shijia Luo & Disheng Yi & Heping Jiang & Jing Zhang, 2022. "Measuring Cluster-Based Spatial Access to Shopping Stores under Real-Time Travel Time," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:4:p:2310-:d:752072
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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