Jie Chen
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Jie Chen has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Guolei Chen
College of Geography and Environmental Sciences, Guizhou Normal University, No.116 North Baoshan Road, Guiyang 500025, China
1 shared publication - Jing Luo
College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
1 shared publication - Liang Jiang
College of Urban and Environmental Sciences, Xuchang University, No.88 Bayi Road, Xuchang 461000, China
1 shared publication - Lingling Tian
Key Laboratory of Hubei Province, Analysis and Simulation of Geographic Process, Central China Normal University, No.152 Luoyu Road, Wuhan 430079, China
1 shared publication - Ye Tian
Institute for Advanced Studies in Finance and Economics, Hubei University of Economics, No. 8 Yangqiaohu Road, Wuhan 430205, China
1 shared publication
Latest Publications
- Open Access
- 4 March 2022
- Published by MDPI AG in ISPRS International Journal of Geo-Information
- Vol. 11 (3) , 170
Characteristics and Influencing Factors of Spatial Differentiation of Market Service Industries in Rural Areas around Metropolises—A Case Study of Wuhan City’s New Urban Districts
Market services industries are closely related to residents’ lives, and its spatial distribution has an important impact on satisfying residents’ consumption needs and promoting economic development. In recent years, with the rapid development of urban–rural integration and the gradual implementation of a rural revitalization strategy, rural areas around metropolises have become the “frontier” of urban geographic expansion, causing the rural market services industries to specialize, commercialize, and modernize. Taking Wuhan as a case study, the spatial distribution characteristics and influencing factors of the market services industries were measured using the average nearest neighbor index, the kernel density estimate, the spatial correlation analysis, and the Geodetector method. The results are as follows. (1) The market services industries in Wuhan’s new urban districts, as a whole and individually, showed characteristics of agglomeration. The market services industries overall formed two high-density areas and multiple agglomeration areas, and the high-density areas of different types of market services industries showed characteristics of partial spatial overlap. (2) There was a significant positive spatial correlation in market services industries, as a whole and individually. Among them, the life services industry had the strongest spatial correlation, while the accommodation services industry had the weakest. (3) Market demand and traffic conditions were the core factors influencing the distribution of the market services industries in Wuhan’s new urban districts, followed by urbanization and economic levels; and tourism conditions had a lower impact. Each detector had a different impact on the spatial distribution of different market services industries, and the interaction research showed that the spatial distribution of the market services industries was the result of a combination of multiple factors. This research provides a future development direction for market service industries in rural areas.
- 4 March 2022
- Published by MDPI AG in ISPRS International Journal of Geo-Information
- Vol. 11 (3) , 170
Open AccessCharacteristics and Influencing Factors of Spatial Differentiation of Market Service Industries in Rural Areas around Metropolises—A Case Study of Wuhan City’s New Urban Districts
Market services industries are closely related to residents’ lives, and its spatial distribution has an important impact on satisfying residents’ consumption needs and promoting economic development. In recent years, with the rapid development of urban–rural integration and the gradual implementation of a rural revitalization strategy, rural areas around metropolises have become the “frontier” of urban geographic expansion, causing the rural market services industries to specialize, commercialize, and modernize. Taking Wuhan as a case study, the spatial distribution characteristics and influencing factors of the market services industries were measured using the average nearest neighbor index, the kernel density estimate, the spatial correlation analysis, and the Geodetector method. The results are as follows. (1) The market services industries in Wuhan’s new urban districts, as a whole and individually, showed characteristics of agglomeration. The market services industries overall formed two high-density areas and multiple agglomeration areas, and the high-density areas of different types of market services industries showed characteristics of partial spatial overlap. (2) There was a significant positive spatial correlation in market services industries, as a whole and individually. Among them, the life services industry had the strongest spatial correlation, while the accommodation services industry had the weakest. (3) Market demand and traffic conditions were the core factors influencing the distribution of the market services industries in Wuhan’s new urban districts, followed by urbanization and economic levels; and tourism conditions had a lower impact. Each detector had a different impact on the spatial distribution of different market services industries, and the interaction research showed that the spatial distribution of the market services industries was the result of a combination of multiple factors. This research provides a future development direction for market service industries in rural areas.