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

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 st...

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Autores principales: Muhammad Sajid Mehmood, Gang Li, Annan Jin, Adnanul Rehman, V P I S Wijeratne, Zeeshan Zafar, Ahsan Riaz Khan, Fahad Ali Khan
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/6d69234dcd614f78b5cbe020cb6668ce
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spelling oai:doaj.org-article:6d69234dcd614f78b5cbe020cb6668ce2021-11-25T05:54:17ZThe spatial coupling effect between urban street network's centrality and collection & delivery points: A spatial design network analysis-based study.1932-620310.1371/journal.pone.0251093https://doaj.org/article/6d69234dcd614f78b5cbe020cb6668ce2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0251093https://doaj.org/toc/1932-6203The 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.Muhammad Sajid MehmoodGang LiAnnan JinAdnanul RehmanV P I S WijeratneZeeshan ZafarAhsan Riaz KhanFahad Ali KhanPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 5, p e0251093 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Muhammad Sajid Mehmood
Gang Li
Annan Jin
Adnanul Rehman
V P I S Wijeratne
Zeeshan Zafar
Ahsan Riaz Khan
Fahad Ali Khan
The spatial coupling effect between urban street network's centrality and collection & delivery points: A spatial design network analysis-based study.
description 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.
format article
author Muhammad Sajid Mehmood
Gang Li
Annan Jin
Adnanul Rehman
V P I S Wijeratne
Zeeshan Zafar
Ahsan Riaz Khan
Fahad Ali Khan
author_facet Muhammad Sajid Mehmood
Gang Li
Annan Jin
Adnanul Rehman
V P I S Wijeratne
Zeeshan Zafar
Ahsan Riaz Khan
Fahad Ali Khan
author_sort Muhammad Sajid Mehmood
title The spatial coupling effect between urban street network's centrality and collection & delivery points: A spatial design network analysis-based study.
title_short The spatial coupling effect between urban street network's centrality and collection & delivery points: A spatial design network analysis-based study.
title_full The spatial coupling effect between urban street network's centrality and collection & delivery points: A spatial design network analysis-based study.
title_fullStr The spatial coupling effect between urban street network's centrality and collection & delivery points: A spatial design network analysis-based study.
title_full_unstemmed The spatial coupling effect between urban street network's centrality and collection & delivery points: A spatial design network analysis-based study.
title_sort spatial coupling effect between urban street network's centrality and collection & delivery points: a spatial design network analysis-based study.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/6d69234dcd614f78b5cbe020cb6668ce
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