A case study: Making decisions for sustainable university campus planning using GeoAI

Abstract

The increasing availability of geospatial data, the development of AI and the availability of large computational capacities have contributed to the growing importance and potential of GeoAI. GeoAI has an important role in advancing traditional AI technologies and developing new ways to solve problems posed by the massive, complex, diverse and ever-increasing nature of geospatial data. Geospatial data is widely used in many scientific fields and applications such as smart cities, transportation, business, public health, public safety, resilience to natural disasters, climate change and many more. Especially because of the huge growth in population and the need to analyse United Nations sustainability impacts oblige the experts to utilize GeoAI. The future vision, sustainable cities and green campuses provide acceleration in the IoT and planning with GeoAI. In this scope this preceding enlightens campus planning by GeoAI as beginning step of the digital twin mechanism. This article is applied to: (1) GeoAI and campus planning techniques; (2) QGIS and KooMap utilization for AI based image recognition; (3) interpreting the output of GeoAI based map and giving sustainability recommendations related with campus planning; (4) Strengths and shortcomings of the research. GeoAI usage is proven as a beneficial way to make decisions on university campus by using automatically recognized satellite images. It is the first step for digital campus management system.

Keywords

• Smart City
• Smart Campus
• Digital Twin
• GeoAI
• Urban Planning

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