Spatial Evolution Analysis and Spatial Optimization Strategy of Rural Tourism Based on Spatial Syntax Model—A Case Study of Matao Village in Shandong Province, China

Xiaonan Qin (), Xueting Du, Yue Wang and Lina Liu
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Xiaonan Qin: Business School, Shandong Normal University, Jinan 250399, China
Xueting Du: Business School, Shandong Normal University, Jinan 250399, China
Yue Wang: Business School, Shandong Normal University, Jinan 250399, China
Lina Liu: Business School, Shandong Normal University, Jinan 250399, China

Land, 2023, vol. 12, issue 2, 1-19

Abstract: As the tourism industry is embedded in the countryside, space, which is an important means of production of modern industries, has undergone significant changes in the models and trends of spatial transform. This paper aims to analyze the development pattern of rural economic and social structure driven by the tourism industry. Based on the spatial syntax model, it takes Matao Village of China as the research sample and decomposes the evolutionary process of rural space transform. Firstly (1) in the self-driven development stage, the rural space presented a polar core development trend with high intelligibility and obvious agglomeration. Secondly (2) in the tourism-driven development stage, firstly, the driving force of the tourism industry was relatively weak, whereas the traditional spatial core still occupied an absolute advantage in the whole village space. However, with further development, the spatial scope of high Integration and Choice Values has expanded, resulting in multiple spatial development agglomeration centers. Based on this, it is proposed that a village with a tourism industry should integrate village spatial development planning with landscape style, focus on the regeneration and development of the old space core, and strengthen the integration and correlation of the old and new space clusters.

Keywords: space transform; space syntax; driven by tourism industry; space optimization (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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