Quantitative Study on the Evolution Trend and Driving Factors of Typical Rural Spatial Morphology in Southern Jiangsu Province, China

Xiaodong Xu, Jingping Liu, Ning Xu, Wei Wang and Hui Yang
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Xiaodong Xu: School of Architecture, Southeast University, 2 Sipailou, Nanjing 210000, Jiangsu Province, China
Jingping Liu: Department of Urban Planning and Design, Graduate School of Design, Harvard University, 48 Quincy Street, Cambridge, MA 02138, USA
Ning Xu: School of Architecture, Southeast University, 2 Sipailou, Nanjing 210000, Jiangsu Province, China
Wei Wang: Department of Architecture and Civil Engineering, City University of Hong Kong, Y6621, AC1, Tat Chee Ave, Kowloon, Hong Kong 999077, China
Hui Yang: School of Resource and Geoscience, China University of Mining and Technology, 1st University Street, Xuzhou City 221000, Jiangsu Province, China

Sustainability, 2018, vol. 10, issue 7, 1-20

Abstract: Due to rapid changes in urban and rural economic development, the Chinese landscape has been gradually transforming toward urbanization. Most Chinese rural villages face declining problems such as population loss, land use transformation, fragmentation and abandonment, resulting in big changes in the rural spatial morphology. To understand these urbanization challenges, this study established a multi-factor methodology and applied it to a case study of three selected typical villages in southern Jiangsu Province. From this analysis, the quantification of the rural spatial morphology and environmental status, from 2005 to 2016, was determined. The eight driving factors established considered the rural geological location, landform, and social economic status. To analyze the driving factors, a quantitative analysis using ArcGIS, Environment for Visualizing Images (ENVI), and Analytic Network Process (ANP) decision-making methods were used. The results revealed mechanisms between the changes to spatial morphology of rural villages in southern Jiangsu Province and their key driving factors. This study provides data support and a theoretical framework to guide future development and policy of rural villages of different types, which supports the sustainable development of Chinese rural villages.

Keywords: rural spatial morphology; evolution; driving factors; ArcGIS; ANP; southern Jiangsu province (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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