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Open AccessArticle

Spatio-Temporal Evolution and Driving Factors of Rural Settlements in Low Hilly Region—A Case Study of 17 Cities in Hubei Province, China

by 1,†, 1,*, 2,† and 1
1
College of Public Administration, Huazhong University of Science and Technology, Wuhan 430079, China
2
School of Civil Engineering, University of South China, Hengyang 421001, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this study and share first authorship.
Academic Editor: Paul B. Tchounwou
Int. J. Environ. Res. Public Health 2021, 18(5), 2387; https://doi.org/10.3390/ijerph18052387
Received: 11 January 2021 / Revised: 19 February 2021 / Accepted: 25 February 2021 / Published: 1 March 2021
(This article belongs to the Section Environmental Science and Engineering)
With the rapid development of the social economy, factors of social and economic development in China’s rural areas have been continuously reorganized, and the pattern and distribution of rural residential areas have undergone significant changes. In rural areas, there have been many peculiar phenomena of “reducing people but not reducing land in rural areas, which has caused tremendous pressure on land resource protection. We used geographic detectors and a geographically temporally weighted regression model (GTWR) to explore the rural settlements’ evolution and driving mechanism in Hubei Province from 1990 to 2015. The results show that the kernel density of rural settlements decreased from 1.62 villages/km2 in 1990 to 1.60 villages/km2 in 2015. The scale of rural residential patches has obvious regional differentiation characteristics. From southeast to northwest, there is a wave-like distribution structure of “high-low-high-low-high”, and the clustering characteristics of “cold and hot spots” are strengthened with time. Based on GTWR analysis, the total rural population, total power of agricultural machinery, and rural electricity consumption have promoted the expansion of rural settlements, with the regression coefficients 0.096, 0.484, and 0.878, respectively. Cultivated land, agricultural output value, and rural labor force have negative impacts on the expansion, the regression coefficients of the village were −0.584, −0.510, and −0.109, respectively. View Full-Text
Keywords: rural settlements; spatio-temporal evolution; driving forces; geographic detectors; geographically temporally weighted regression model (GTWR); Hubei Province rural settlements; spatio-temporal evolution; driving forces; geographic detectors; geographically temporally weighted regression model (GTWR); Hubei Province
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MDPI and ACS Style

Tan, S.; Zhang, M.; Wang, A.; Ni, Q. Spatio-Temporal Evolution and Driving Factors of Rural Settlements in Low Hilly Region—A Case Study of 17 Cities in Hubei Province, China. Int. J. Environ. Res. Public Health 2021, 18, 2387. https://doi.org/10.3390/ijerph18052387

AMA Style

Tan S, Zhang M, Wang A, Ni Q. Spatio-Temporal Evolution and Driving Factors of Rural Settlements in Low Hilly Region—A Case Study of 17 Cities in Hubei Province, China. International Journal of Environmental Research and Public Health. 2021; 18(5):2387. https://doi.org/10.3390/ijerph18052387

Chicago/Turabian Style

Tan, Shukui; Zhang, Maomao; Wang, Ao; Ni, Qianlin. 2021. "Spatio-Temporal Evolution and Driving Factors of Rural Settlements in Low Hilly Region—A Case Study of 17 Cities in Hubei Province, China" Int. J. Environ. Res. Public Health 18, no. 5: 2387. https://doi.org/10.3390/ijerph18052387

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