[1]CUI Xin,WANG Yinchuan,ZHANG Bailin,et al.Spatiotemporal Evolution of Rural Settlements and Influencing Factors in Baoding City[J].Research of Soil and Water Conservation,2020,27(05):265-272.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
27
Number of periods:
2020 05
Page number:
265-272
Column:
目次
Public date:
2020-08-20
- Title:
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Spatiotemporal Evolution of Rural Settlements and Influencing Factors in Baoding City
- Author(s):
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CUI Xin1, WANG Yinchuan1, ZHANG Bailin2, HOU Manping3
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(1.College of Land and Resources, Agricultural University of Hebei, Baoding, Hebei 071000, China; 2.School of Economics and Management, Tiangong University, Tianjin 300387, China; 3.China Academy of Culture & Tourism, Beijing International Studies University, Beijing 100024, China)
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- Keywords:
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evolution; rural settlement; spatial pattern; influence factors; Baoding City
- CLC:
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F301.24
- DOI:
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- Abstract:
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Baoding City is located in the middle of Hebei Province, with diverse landforms. We use the tools of landscape analysis software, GIS technology and geographical detector, to describe the evolution characteristics of rural settlements in scale, shape and distribution from 1998 to 2018, discussed the influence of location factors on the layout of rural settlements and the mechanism of economic and social factors on the development and change of rural settlements. First, landscape indexes including total area(TA), largest patch index(LPI), number of patch(NP), percent of landscape(PLAND), mean patch size(AERA_MN), patch size standard deviation(PSSD), mean shape index(SHAPE_MN), mean fractal dimension(FRAC_MN), mean patch perimeter area ratio(PARA_MN), landscape shape index(LSI), patch cohesion index(COHESION)and aggregation index(AI)were selected to calculated, analyze and compare the evolution of rural settlements in plains and non-plain areas. Furthermore, kernel density estimation method was used to show the density distribution of rural settlement patches. Still, overlay and buffer analyses were used to analyze the influence of location factors on the evolution of rural settlement patches. Lastly, P values show the influence of economic and social factors on the evolution of rural settlement patches. The results are drawn as follows.(1)From 1998 to 2018, the overall scale and average size of rural settlement patches in the plain areas are larger than the non-plain areas and the scale difference was increasing; the shape of rural settlement patches in the plain areas was more complex than that in the non-plain areas, but the two areas were still relatively regular in style. The distribution of rural settlement patches in the plain area and the non-plain areas was gradually gathering, and the concentration of the plain areas was higher than that in the non-plain areas.(2)The directional characteristics of highways and rivers in rural settlements were significant; there was no obvious directional characteristics of railways; the influence of urban distribution on rural settlements gradually increased with time.(3)The results of geographical detector showed that the impacts of economic and social factors on the spatial pattern of rural settlements were comprehensive, diverse and complex, and the per capita net income, industrial non-agriculturalization rate and urbanization rate were comprehensive factors which had the effect on the scale, shape and distribution of rural settlements simultaneously in the study areas, while other factors had a certain degree of cross-cutting and one-sidedness on the spatial distribution of rural settlements.