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GIS and MCDA Techniques for Smart Cities by Osayuware Jeremy is a document available to read on EtoBox.

This document discusses the application of GIS-based Multi-Criteria Decision Analysis (MCDA) techniques in the context of smart cities, emphasizing the need for effective urban resource management due to rapid population growth. It examines various MCDA methods, such as AHP, Fuzzy Logic, and TOPSIS, and their integration with GIS for decision-making in urban planning, land suitability, and transportation. The study presents case applications from the Pendik district of Istanbul, highlighting the importance

Author

Osayuware Jeremy

Language

EN