Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{203886,
        author = {Saish Sarikonda},
        title = {Geospatial Mapping and Spatial Analysis of Informal Settlements Using GIS: A Case Study of Slum Mapping in Rajkot Municipal Corporation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {547-553},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=203886},
        abstract = {Rapid urbanization in Indian cities has accelerated the expansion of informal settlements marked by insecure tenure, inadequate housing, weak service provision, and environmental vulnerability. This paper develops a Geographic Information System (GIS)-based framework for slum mapping and analysis within Rajkot Municipal Corporation (RMC). The study integrates spatial, infrastructural, demographic, economic, and housing indicators to derive a Slum Severity Index (SSI) and to support planning decisions related to redevelopment, relocation, and upgradation. A normalization-based multi-criteria approach was used to compute indicator values, assign weights, and generate a composite slum index. The results show a strong concentration of slums in the eastern zone of Rajkot, clear disparities in service availability across zones, and significant variation in dwelling-level conditions within individual slums such as Kitipara. The study also demonstrates how an SSI calculator and relocation model can be integrated into a decision support system for municipal planning.},
        keywords = {decision support system, GIS, informal settlements, slum mapping, slum severity index, urban planning.},
        month = {June},
        }