Historic Environmental Vulnerability Evaluation of Traditional Villages Under Geological Hazards and Influencing Factors of Adaptive Capacity: A District-Level Analysis of Lishui, China

Sheng Liu, Jian Ge, Wangming Li and Ming Bai
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Sheng Liu: College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
Jian Ge: College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
Wangming Li: College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
Ming Bai: Zhejiang University Urban-Rural Planning & Design Institut, Hangzhou 310030, China

Sustainability, 2020, vol. 12, issue 6, 1-21

Abstract: The historic environmental vulnerability of traditional villages (HEVTVs) is distinctly differentiated; however, the priority of relevant emergency management practices still lacks appropriate evaluation. This study proposes a new assessment system to quantify HEVTVs at the district level and an extended analysis of the influencing factors of adaptive capacity. This provides a basis to classify the emergency management of villages under geological hazard risks. Based on the coupled human–environment system, this research designed the assessment with three criteria, six factors, and 13 indexes from the perspective of HEVTVs. Furthermore, a demonstration test was conducted of 148 traditional villages in Lishui, China. The results showed that 64.19% of HEVTVs in Lishui were moderate or above, and that villages with very high vulnerability were mainly distributed at mid-elevation of mountains with strongly sloping terrain. In contrast, low-vulnerability villages were generally on plains at low altitudes. Furthermore, three high-vulnerability clustering groups were identified as critical improvement targets for which special zoning strategies should be proposed. Five influencing factors were found to be strongly related to the adaptive capacity, indicating a spatial variation of the impact intensity. This could be applied to streamline vulnerability optimization strategies according to local conditions.

Keywords: historic environmental vulnerability; emergency classification; quantitative assessment; coupled human–environment system (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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