ARTÍCULO
TITULO

Spatial Patterns and the Evolution of Logistics Service Node Facilities in Large Cities?A Case from Wuhan

Jie Lu    
Jing Luo    
Lingling Tian and Ye Tian    

Resumen

Logistics services are integral to urban economic activity, and delving into the spatial distribution traits and evolutionary pathways of various kinds of logistics service node facilities (LSNF) is markedly valuable for understanding a city?s functional spatial makeup and refining the spatial layout of logistics services. This study quantitatively and qualitatively analyzes the spatial congregation and spreading characteristics of diverse LSNFs in Wuhan in 2011, 2014, 2017, and 2020, employing kernel density analysis, average nearest neighbor index, mean center, and distance distribution frequency, seeking to characterize the spatial evolution characteristics of LSNF, alongside examining the trends in distances to city cores, principal adjoining roads, and production and consumption sites. The following conclusions were made: (1) Between 2011 and 2020, various types of LSNFs in Wuhan experienced a pattern characterized by the noticeable coexistence of spatial expansion and agglomeration, particularly visible after 2014. The degree of agglomeration is classified in a descending order as follows: CWC, STN, PSN, and PDN. (2) An ?absolute diffusion? phenomenon characterizes the distribution of distances between various kinds of LSNFs and city cores or neighboring roads, with the lion?s share of high-frequency distribution zones spreading beyond city cores by 5?10 km, and a majority of the LSNFs being situated within 1 km from adjacent roads. (3) While the LSNF collective exhibits a stronger tendency towards the consumption facet, it reflects a surrounding of industrial production sites on the production facet and locations of manufactured goods consumption on the consumption facet, followed by locations of agricultural product consumption and comprehensive consumption sites.

Palabras claves

 Artículos similares

       
 
Yupu Huang, Li Zhuo and Jingjing Cao    
Accurately measuring industrial spatial agglomeration patterns is crucial for promoting regional economic development. However, few studies have considered both agglomeration degrees and cluster locations of industries. Moreover, the traditional multi-sc... ver más

 
Jinfeng Ma, Yuting Wang, Yu An, Mei Zhang and Xiaodong Wang    
The impact of the spatial pattern of wetland plants on nitrogen removal is a hot research topic. Ten water samples were collected from separate sampling points in mid-August and at the end of October 2021, and the concentrations of TN, NH4-N, and NO3-N i... ver más
Revista: Water

 
Kate Carlson, Barbara P. Buttenfield and Yi Qiang    
Quantification of all types of uncertainty helps to establish reliability in any analysis. This research focuses on uncertainty in two attribute levels of wetland classification and creates visualization tools to guide analysis of spatial uncertainty pat... ver más

 
José Francisco León-Cruz, David Romero and Hugo Ignacio Rodríguez-García    
The spatial and temporal changes in social vulnerability to natural hazards in Mexico are analyzed. To this end, using census data from 2000, 2010, and 2020, and a statistical method, different indices were computed, and with a GIS-based approach, patter... ver más

 
Ling Ye, Weixuan Song, Miao He and Chunhui Liu    
Residential mobility serves as a pivotal determinant in reshaping urban social spaces and driving spatial differentiation and segregation within cities. This study harnesses a rich dataset from surveys and the housing market in Nanjing, China to dissect ... ver más