Heterogeneity of Spatial Distribution and Factors Influencing Unattended Locker Points in Guangzhou, China: The Case of Hive Box
| Autor: | Ying Liu, Song Liu, Ming Li, Chunshan Zhou, Rongrong Zhang, Yongwang Cao, Bahram Zikirya |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Urban agglomeration
Geography Planning and Development Kernel density estimation 0211 other engineering and technologies Distribution (economics) 02 engineering and technology end-to-end delivery service Hive Box Spatial distribution collection and delivery point (CDP) last-mile logistics 0502 economics and business Earth and Planetary Sciences (miscellaneous) geographically weighted regression (GWR) Guangzhou Computers in Earth Sciences China Spatial analysis Geography (General) 050210 logistics & transportation business.industry 05 social sciences 021107 urban & regional planning smart locker Spatial heterogeneity Geography Smartphone app G1-922 business Cartography |
| Zdroj: | ISPRS International Journal of Geo-Information Volume 10 Issue 6 ISPRS International Journal of Geo-Information, Vol 10, Iss 409, p 409 (2021) |
| ISSN: | 2220-9964 |
| DOI: | 10.3390/ijgi10060409 |
| Popis: | Hive Box is a company that operates a network of express unattended collection and delivery points (UCDPs) in China. Hive Box distribution enhances community-based end-to-end delivery services and low-carbon city logistics. It is argued that UCDPs compared with attended collection and delivery points (ACDPs) should be considered for further investigation. Therefore, the present study employed kernel density estimation, spatial autocorrelation analysis, and geographically weighted regression to investigate the spatial heterogeneity of Hive Box distribution across Guangzhou. Hive Box location data were collected from smartphone apps. The results were as follows: (1) the kernel density declined from the city center toward the outskirts, and showed point-like spatial agglomerations in the city center (2) the Moran’s I index analysis showed that Hive Box distribution exhibited spatial agglomeration from a global perspective and geographic variations in locality in space the heterogeneity of urban–rural differences implies the uneven development of Hive Box distribution in Guangzhou and (3) the factors influencing Hive Box distribution were multilevel, and their effects were complex and varied across regions. These results shed light on the agglomeration and heterogeneity characteristics of the spatial distribution and influencing factors of Hive Boxes. For an enhanced community-based end-to-end delivery service, this study suggested the identification of the geographic variations of Hive Box distribution and the combined effects of multiple factors in intensifying the infrastructure of unattended locker points. |
| Databáze: | OpenAIRE |
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