APPLICATION OF GIS AND AI TECHNOLOGIES FOR SUSTAINABLE DEVELOPMENT OF URBAN ECOSYSTEMS: THE CASE OF TASHKENT CITY
Keywords:
urban ecosystem, sustainable development, GIS technologies, artificial intelligence, urban ecology, spatial analysis, environmental monitoring, Tashkent city, air pollution, green areas, digital management, urban planning, big data, forecasting models, environmental risk, smart city, ecological sustainabilityAbstract
This study analyzes the possibilities of applying Geographic Information Systems (GIS) and Artificial Intelligence (AI) technologies in the sustainable development of urban ecosystems using the example of Tashkent city. Due to the rapid pace of urbanization, environmental problems in urban areas are intensifying, including air pollution, reduction of green spaces, increased transport load, and inefficient use of resources. The main objective of the research is to identify opportunities for monitoring urban ecosystems, forecasting environmental risks, and optimizing management decisions through GIS- and AI-based analytical approaches. Spatial analysis, statistical modeling, and forecasting methods were used in the study. The results show that GIS technologies enable accurate mapping of the ecological condition of urban areas, while AI algorithms demonstrate high efficiency in predicting pollution levels and the dynamics of green spaces. In conclusion, the integrated application of GIS and AI technologies has significant scientific and practical importance in ensuring sustainable urban development in Tashkent city.
References
1.Batty, M. (2018). Inventing future cities. MIT Press.
2.Goodchild, M. F. (2018). GIS and environmental modeling. International Journal of Geographical Information Science.
3.Longley, P. et al. (2020). Geographic information systems and science. Wiley.
4.Jordan, M., & Mitchell, T. (2019). Machine learning: Trends and perspectives. Science.
5.UN-Habitat. (2020). World cities report.
6.Ministry of Ecology of the Republic of Uzbekistan (2023). Official statistical data.
7.Zhang, Y. et al. (2019). Urban sustainability and GIS. Sustainability.
8.Li, X. et al. (2021). AI-based urban environmental monitoring. Environmental Modelling & Software.
9.Albino, V. et al. (2019). Smart cities and sustainability. Journal of Urban Technology.
10.Angelidou, M. (2020). Smart city policies. Cities.
11.OECD. (2021). Urban environmental indicators.
12.Seto, K. C. et al. (2018). Urban land-use change. PNAS.
13.Kitchin, R. (2019). Big data and smart cities. Urban Studies.
14.ESRI. (2022). GIS for sustainable cities.
15.World Bank. (2021). Urban development and environment.
