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Spatial patterns and its influencing factors on villages around the Ji-shape bend of the Yellow River.

Authors :
Zhiqiang Wang
Shuang Jiang
Shuang Xu
Jianxun Zhang
Faisal Mumtaz
Maomao Zhang
Source :
Frontiers in Environmental Science; 2024, p01-22, 22p
Publication Year :
2024

Abstract

Population migration brings about many problems in villages. The Ji (...)-shape bend of the Yellow River is an important ecological sensitivity study area, and some progress exists in the study of villages, still has many problems. This article addresses the inadequacy of the existing research and mainly solves the problems in three areas. It primarily used the research method of Arc GIS10.8, the big data research methods such as imbalance index, Gini coefficient, geographic concentration index, Geodetector, and other methods were used, laying the groundwork for additional analysis of various factors. Hence, the subsequent study findings were attained. 1) The distribution pattern in the village system around the Ji-shape bend of the Yellow River seems to be a positive spatial correlation, with the characteristics of random distribution, uneven spatial distribution, and low concentration, with Hohhot-Baotou serving as a center. 2) Natural factors are the most important factors in the distribution of villages. 3) Among the natural factors, elevation (0.244619), the value of slope (0.319805), and the aspect of slope (0.074089) appear to be the strongest explanatory power. Among the social factors, the rate of urbanization (0.019082), highway density (0.019082), and percentage of tertiary industry (0.018422) show the strongest explanatory power on socioeconomic factors. The natural and social characteristics of villages are important for the siting of villages. This paper put forward some suggestions for the protection and development of villages in ecologically sensitive areas. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2296665X
Database :
Complementary Index
Journal :
Frontiers in Environmental Science
Publication Type :
Academic Journal
Accession number :
180579977
Full Text :
https://doi.org/10.3389/fenvs.2024.1477693