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10 February 2023 An improved geographic modeling method to the vulnerability of the traditional village architectural landscape
Yifan Cai, Ruihuan Ding, Qiang Li
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Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125520O (2023) https://doi.org/10.1117/12.2667412
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China
Abstract
Traditional village architectural landscape is rich in cultural values, but currently traditional village architectural landscape is facing a series of challenges of vulnerability issues. This paper identifies the factors influencing the vulnerability of traditional village architectural landscape using on-site research and expert consultation, analyzes the factors influencing the vulnerability of traditional village architectural landscape using an improved geographic modeling method named Adversarial Interpretive Structure Modeling method, and puts forward relevant suggestions. The conclusions show that among the factors influencing the vulnerability of traditional village architectural landscape, the root factors are building materials, topography and geology, urbanization rate and climate and hydrology, the intermediate factors are building structure, building age, building function, residents' cultural identity, policy concern, financial support, tourism development and natural disasters, and the direct factors are residents' willingness to retain, usage rate of residents and land use.
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Yifan Cai, Ruihuan Ding, and Qiang Li "An improved geographic modeling method to the vulnerability of the traditional village architectural landscape", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125520O (10 February 2023); https://doi.org/10.1117/12.2667412
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KEYWORDS
Modeling
Factor analysis
Analytical research
Visualization
Buildings
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