skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Quantifying the Spatial Fragmentation Pattern and Its Influencing Factors of Urban Land Use: A Case Study of Pingdingshan City, China

Land (Basel), 2022-05, Vol.11 (5), p.686 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2073-445X ;EISSN: 2073-445X ;DOI: 10.3390/land11050686

Full text available

Citations Cited by
  • Title:
    Quantifying the Spatial Fragmentation Pattern and Its Influencing Factors of Urban Land Use: A Case Study of Pingdingshan City, China
  • Author: Yue, Li ; Zhao, Hongbo ; Xu, Xiaoman ; Gu, Tianshun ; Jia, Zeting
  • Subjects: Bus stops ; Central business districts ; Cities ; City centres ; Developing countries ; Expansion ; fractal dimension index ; Fractal geometry ; Fragmentation ; Heterogeneity ; Hot spots ; Land use ; LDCs ; MGWR ; Population density ; Quality of life ; Roads & highways ; shannon index ; spatial fragmentation ; Spatial heterogeneity ; Sustainable development ; Transformation ; Urban areas ; Urbanization
  • Is Part Of: Land (Basel), 2022-05, Vol.11 (5), p.686
  • Description: In the context of rapid urbanization, the phenomenon of spatial fragmentation in Chinese inland central cities is significant. The scientific measurement and evaluation of urban spatial fragmentation are conducive to its transformation, advancement, and sustainable development. Based on the fractal dimension index and Shannon index, this study measures urban spatial fragmentation in terms of form and function, respectively. In addition, multi-scale geographic weighted regression (MGWR) is used to study the influencing factors of spatial fragmentation. The conclusions are as follows: ① the measurement results of spatial form fragmentation and functional fragmentation of urban built-up areas are consistent. The fragmentation degree of the new urban area (new urban district and high-tech district) is higher than that of the old urban areas, and the urban space fragmentation degree around railways and rivers is high. The urban space fragmentation degree of coal resource concentrated distribution areas in the north is lower. The cold spot area of the fragmentation phenomenon appears in the old urban area, and the hot spot area is in the new urban area and along the railway. ② The positive influencing factors of urban spatial fragmentation in Pingdingshan city are the NDVI and the distance from CBD. The negative influencing factor is the number of bus stops per unit area. The DEM and population density have no significant impact on urban fragmentation in Pingdingshan city. ③ Among the variables with significance, its influence has a certain spatial heterogeneity. The spatial scale from small to large is the number of bus stops per unit area, NDVI, and the distance from CBD. The degree of urban fragmentation is very sensitive to the number of bus stops per unit area and the impact scale is quite small. The spatial impacts of the NDVI and the distance from CBD are relatively stable. This study provides a reference and basis for the spatial development of built-up areas of inland central cities and promotes the transformation, advancement, and sustainable development of inland central cities.
  • Publisher: Basel: MDPI AG
  • Language: English
  • Identifier: ISSN: 2073-445X
    EISSN: 2073-445X
    DOI: 10.3390/land11050686
  • Source: Directory of Open Access Journals
    ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central

Searching Remote Databases, Please Wait