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The spatial coupling effect between urban street network’s centrality and collection & delivery points: A spatial design network analysis-based study

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  • Muhammad Sajid Mehmood
  • Gang Li
  • Annan Jin
  • Adnanul Rehman
  • V P I S Wijeratne
  • Zeeshan Zafar
  • Ahsan Riaz Khan
  • Fahad Ali Khan

Abstract

The sustainable development of collection and delivery points and urban street network is an important consideration of logistic planners. Urban street networks have a significant impact on collection and delivery points’ location, but the spatial relationship between the centrality of urban street network and collection and delivery points has not been studied using spatial design network analysis. In a multiple centrality assessment model, we used point of interest and street network data to evaluate the location of two types of collection and delivery points and the centrality of streets in Nanjing city, based on four indicators: closeness, betweenness, severance, and efficiency. Then, kernel density estimation and spatial autocorrelation are used to study spatial patterns of distribution and centrality coupling effects of urban street network and collection and delivery points. The results show that the centrality of Nanjing streets has a big influence on the location of the collection and delivery points, and the directions of different types of centrality also vary. The location of the Cainiao Stations are largely related to closeness, followed by betweenness, severance, and efficiency. China Post Stations and street centrality have a weak correlation between efficiency and severance, but no correlation between closeness and betweenness. Our results can help logistics enterprises and urban planners to develop collection and delivery points’ network based on the urban street network.

Suggested Citation

  • Muhammad Sajid Mehmood & Gang Li & Annan Jin & Adnanul Rehman & V P I S Wijeratne & Zeeshan Zafar & Ahsan Riaz Khan & Fahad Ali Khan, 2021. "The spatial coupling effect between urban street network’s centrality and collection & delivery points: A spatial design network analysis-based study," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-21, May.
    • Handle: RePEc:plo:pone00:0251093
    DOI: 10.1371/journal.pone.0251093
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    References listed on IDEAS

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    1. Oliveira, Leise Kelli de & Morganti, Eleonora & Dablanc, Laetitia & Oliveira, Renata Lúcia Magalhães de, 2017. "Analysis of the potential demand of automated delivery stations for e-commerce deliveries in Belo Horizonte, Brazil," Research in Transportation Economics, Elsevier, vol. 65(C), pages 34-43.
    2. Beckers, Joris & Cárdenas, Ivan & Verhetsel, Ann, 2018. "Identifying the geography of online shopping adoption in Belgium," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 33-41.
    3. Eléonora Morganti & Laetitia Dablanc & François Fortin, 2014. "Final deliveries for online shopping: the deployment of pickup point networks in urban and suburban areas," Post-Print hal-01067223, HAL.
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    2. Bo Yang & Yaping Yang & Yangxiaoyue Liu & Xiafang Yue, 2022. "Spatial Structure Evolution and Economic Benefits of Rapidly Expanding the High-Speed Rail Network in Developing Regions: A Case Study in Western China," Sustainability, MDPI, vol. 14(23), pages 1-20, November.

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