Utilizing Geospatial Data Analytics to Evaluate and Counteract Landslide Vulnerabilities in Sikkim's Hill Tourism Infrastructure

2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS)(2023)

引用 0|浏览0
暂无评分
摘要
Tourism is the total of activities by the people, of the people and for the people. If the tourist destinations are disaster-prone, people's movement will be very limited, and very less revenue would be generated. As a result, the destinations will suffer from a lack of investment. Indian hill tourism destinations are very vulnerable and endure forest fires, floods, earthquakes, landslides and so on. Landslide-related problem is the highest hazardous issues in hill tourism which is the major cause of revenue loss and making destinations seasonal. This research paper addressed the landslide-related issues in hill stations and Sikkim was considered as the study area. The researchers also formulated a new “Landslide Susceptibility Model” and “Landslide Susceptibility Map” using a geospatial tool that would help all tourism stakeholders and planners find out landslide-prone areas in Sikkim. This will provide resilience to the tourism planning process.
更多
查看译文
关键词
Disaster management,GIS,Multi-Criteria Spatial Decision Support System,Landslide Susceptibility Model,Landslide Susceptibility Map
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要