Spatial optimization of rural settlements based on the perspective of appropriateness-domination: A case of Xinyi City
Lu, Mengqiu1; Wei, Luyao2; Ge, Dazhuan2,3; Sun, Dongqi4; Zhang, Zhengfang2; Lu, Yuqi2,3
刊名HABITAT INTERNATIONAL
2020-04-01
卷号98页码:12
关键词Rural settlement Urban and rural development Central place theory County town system Rural vitalization Appropriateness-domination
ISSN号0197-3975
DOI10.1016/j.habitatint.2020.102148
通讯作者Wei, Luyao(lmyxpeking@163.com) ; Ge, Dazhuan(gedz@njnu.edu.cn)
英文摘要Rural settlements represent rural production patterns and social culture in rural territorial systems. This system reflects the interaction processes between human activities and the geographical environment. Exploring the spatial optimization of rural settlements is beneficial, especially for promoting scientific agglomeration of villages, tapping potential village land reclamation, and reconstructing rural areas. We constructed an analytical framework for rural settlement spatial optimization from the perspective of appropriateness-domination. Taking rural settlements layout in Xinyi City of Jiangsu Province in 2016 as a case, we made an iterative operation based on spatial competition and cooperation among rural settlements to obtain a spatial optimization scheme of rural settlements under different appropriate farming conditions. Through a spatio-temporal simulation of various farming radii, and considering the impact of different agricultural scale management levels on the spatial layout of rural settlements, we obtained a reasonable rural settlement layout in the dynamic evolutionary process of farming conditions. On the other hand, we obtained a spatial optimization scheme and development guidance of different rural settlements based on social dominance theory and central place theory through spatial cluster analysis. The perspective of appropriateness-domination provided multi-scenario optimization schemes of rural settlements and scientific guidance for the optimization and reorganization mechanism of rural settlements and rural vitalization.
资助项目National Natural Science Foundation of China[41901204] ; National Natural Science Foundation of China[41430635] ; China Postdoctoral Science Foundation[2019M660109] ; Foundation of Humanity and Social Sciences of the Ministry of Education of China[19YJCZH036] ; Jiangsu Provincial Science Foundation[BK20190717] ; Jiangsu Provincial Social Science Foundation[19GLC002]
WOS关键词LAND-USE POLICY ; FUNCTIONAL EVOLUTION ; FARMLAND TRANSITION ; MARKET TOWNS ; CHINA ; AREAS ; CONSOLIDATION ; URBANIZATION ; LOCATION ; ACCESSIBILITY
WOS研究方向Development Studies ; Environmental Sciences & Ecology ; Public Administration ; Urban Studies
语种英语
出版者PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号WOS:000527990100012
资助机构National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; Foundation of Humanity and Social Sciences of the Ministry of Education of China ; Jiangsu Provincial Science Foundation ; Jiangsu Provincial Social Science Foundation
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/159882]  
专题中国科学院地理科学与资源研究所
通讯作者Wei, Luyao; Ge, Dazhuan
作者单位1.Nanjing Univ Finance & Econ, Sch Int Econ & Trade, Nanjing 210023, Peoples R China
2.Nanjing Normal Univ, Sch Geog, Nanjing 210023, Peoples R China
3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Lu, Mengqiu,Wei, Luyao,Ge, Dazhuan,et al. Spatial optimization of rural settlements based on the perspective of appropriateness-domination: A case of Xinyi City[J]. HABITAT INTERNATIONAL,2020,98:12.
APA Lu, Mengqiu,Wei, Luyao,Ge, Dazhuan,Sun, Dongqi,Zhang, Zhengfang,&Lu, Yuqi.(2020).Spatial optimization of rural settlements based on the perspective of appropriateness-domination: A case of Xinyi City.HABITAT INTERNATIONAL,98,12.
MLA Lu, Mengqiu,et al."Spatial optimization of rural settlements based on the perspective of appropriateness-domination: A case of Xinyi City".HABITAT INTERNATIONAL 98(2020):12.
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