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Abstract
Improvement of a city’s liveability, especially in developing countries, is increasingly viewed as a way to enhance city dwellers’ quality of life. This study applied remote sensing and GIS-based techniques to assess urban livability conditions based on the World Health Organization guidelines. For this, 21 fine-grained spatial indicators were selected, and a geographically weighted principal component analysis was applied to evaluate the spatial pattern of urban livability in Raiganj. The results showed that the city’s central and eastern part had a livability index score over 0.75 (5.31 km2 area) appeared as the most livable. The southwestern part of the city was the least livable. Finally, the predicted Land Use Land Cover for 2025 in Raiganj based on the Multilayer Perceptron Neural Network-Markov Chain showed that the city (+19.50%) will expand mainly in the eastern direction at the expense of green and blue spaces.
Disclosure statement
No potential conflict of interest was reported by the authors.
Data availability statement
The entire work is carried out based on the satellite images of the respective study area. These satellite images are freely available at https://earthexplorer.usgs.gov/. Furthermore, all the necessary data are provided as supplementary material of this respective article.