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Measuring Spatial Accessibility to Pick-Up Service Considering Differentiated Supply and Demand: A Case in Hangzhou, China

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  • Liyun Lin

    (Department of Land Management, Zhejiang University, Hangzhou 310058, China)

  • Haoying Han

    (Institute of Urban and Rural Planning Theories and Technologies, Zhejiang University, Hangzhou 310058, China)

  • Wanglin Yan

    (Faculty of Environment and Information Studies, Keio University, Fujisawa-City 2520882, Japan)

  • Shun Nakayama

    (Graduate School of Media and Governance, Keio University, Fujisawa-City 2520882, Japan)

  • Xianfan Shu

    (Department of Land Management, Zhejiang University, Hangzhou 310058, China)

Abstract

In recent years, customer pick-up at collection and delivery points has become a popular alternative to traditional home delivery, which is under great pressure. However, current service of pick-up facilities has seldom been geographically evaluated despite its general uneven distribution and diverse needs. In this paper, in order to interpret the differentiation in customers’ service demands toward reception alternatives and in facilities’ service excludability in different built environments, a two-step floating catchment area (2SFCA) method is improved to measure customers’ spatial accessibility to pick-up facilities, providing a methodology to evaluate the match relation between the differentiated supply and demand of pick-up service. A case study of widespread automated parcel stations (APSs) is conducted in Hangzhou, China and correlative factors to residents’ accessibility are discussed. From the results, residents’ accessibility to pick-up service shows significant spatial unevenness and social inequity in the study area, which is found to correlate most to residences’ maintenance management. As well-managed, gated communities generally hold effective access to exclusive services, most open communities and self-built, single houses are in need of improvement due to inadequate service stemming from a high aging rate, lack of property management, and low service availability of nonexclusive facilities in open areas.

Suggested Citation

  • Liyun Lin & Haoying Han & Wanglin Yan & Shun Nakayama & Xianfan Shu, 2019. "Measuring Spatial Accessibility to Pick-Up Service Considering Differentiated Supply and Demand: A Case in Hangzhou, China," Sustainability, MDPI, vol. 11(12), pages 1-22, June.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:12:p:3448-:d:242271
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    References listed on IDEAS

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    Cited by:

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    2. Renata Lúcia Magalhães de Oliveira & Camila Soares Henrique Fontanele Garcia & Paulo Henrique Góes Pinto, 2020. "Accessibility to Food Retailers: The Case of Belo Horizonte, Brazil," Sustainability, MDPI, vol. 12(7), pages 1-17, March.
    3. Tang, Yuk Ming & Chau, Ka Yin & Xu, Duo & Liu, Xiaoyun, 2021. "Consumer perceptions to support IoT based smart parcel locker logistics in China," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
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    5. Wenquan Shi, 2021. "Analyzing enterprise asset structure and profitability using cloud computing and strategic management accounting," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-21, September.
    6. Grazyna Chaberek, 2021. "The Possibility of Reducing Individual Motorised Traffic through the Location of Collection Points Using the Example of Gdańsk, Poland," Sustainability, MDPI, vol. 13(19), pages 1-12, September.
    7. Guarino Neto, Luigi & Geraldo Vidal Vieira, José, 2023. "An investigation of consumer intention to use pick-up point services for last-mile distribution in a developing country," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    8. Marta Viu-Roig & Eduard J. Alvarez-Palau, 2020. "The Impact of E-Commerce-Related Last-Mile Logistics on Cities: A Systematic Literature Review," Sustainability, MDPI, vol. 12(16), pages 1-19, August.
    9. Milica Šelmić & Miloš Nikolić & Aleksandar Čupić, 2020. "Postboxes Quantitative Optimization Model," Sustainability, MDPI, vol. 12(5), pages 1-10, March.

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