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

Population migration brings about many problems in villages. The Ji (几)-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.

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Publication Details

Journal
Frontiers in Environmental Science
Published
2024-10-02
DOI
https://doi.org/10.3389/fenvs.2024.1477693
Citations
19
Primary Topic
Environmental Changes in China
Type
article
Field-Weighted Citation Impact
5.37

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article

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

Faisal Mumtaz, Shuang Jiang, Maomao Zhang, Shuang Xu et al.
19 citations
Frontiers in Environmental Science
Environmental Changes in China
5.37
article

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

Faisal Mumtaz, Shuang Jiang, Maomao Zhang, Shuang Xu, Jianxun Zhang, Zhiqiang Wang
article en
19 citations

Abstract

Population migration brings about many problems in villages. The Ji (几)-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.

Frontiers in Environmental ScienceVol. 12
Qinghai University (CN), Inner Mongolia University (CN), Aerospace Information Research Institute (CN), University of Chinese Academy of Sciences (CN), Huazhong University of Science and Technology (CN), Inner Mongolia University of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Inner Mongolia
Openalex Percentile: Top 4%
Environmental Changes in China
5.37
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