In:
PLOS ONE, Public Library of Science (PLoS), Vol. 16, No. 5 ( 2021-5-6), p. e0251093-
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.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0251093
DOI:
10.1371/journal.pone.0251093.g001
DOI:
10.1371/journal.pone.0251093.g002
DOI:
10.1371/journal.pone.0251093.g003
DOI:
10.1371/journal.pone.0251093.g004
DOI:
10.1371/journal.pone.0251093.g005
DOI:
10.1371/journal.pone.0251093.g006
DOI:
10.1371/journal.pone.0251093.g007
DOI:
10.1371/journal.pone.0251093.g008
DOI:
10.1371/journal.pone.0251093.t001
DOI:
10.1371/journal.pone.0251093.t002
DOI:
10.1371/journal.pone.0251093.t003
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2267670-3
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