Spatial Optimization of Tourist-Oriented Villages by Space Syntax Based on Population Analysis

Xinman Wang, Rong Zhu () and Baoqi Che
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Xinman Wang: School of Design, Jiangnan University, Wuxi 214122, China
Rong Zhu: School of Design, Jiangnan University, Wuxi 214122, China
Baoqi Che: School of Design, Jiangnan University, Wuxi 214122, China

Sustainability, 2022, vol. 14, issue 18, 1-24

Abstract: Tourism-oriented countryside is a development object that cannot be ignored in Chinese rural revitalization. As a special type of countryside, urban expansion and development have led to the gradual reduction of rural areas, which, in turn, has led to the deterioration of the spatial structure of tourism villages and the interdependence between villagers, merchants, and tourists. This has caused the loss of vitality of rural tourism spaces and the hollowing out of tourism villages. In our study, we used Space Syntax, based on population analysis, to research the three major populations of villagers, merchants, and tourists in tourism-oriented countryside. We optimized a total of four categories of rural space: street space, cultural space, landscape space, and public facilities. We found that spatial optimization improves the spatial layout, spatial accessibility, and spatial compounding of spaces. By constructing a model of harmonious development of the spatial structure of tourism villages with villagers, merchants, and tourists, the problem of hollowing out of tourism villages can be effectively solved. This will ease the contradictory relationship between urban development and rural revitalization, promoting the sustainable development of Chinese society, economy, and culture.

Keywords: Space Syntax based on population analysis; tourist-oriented villages; spatial optimization; sustainable development (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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