Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)

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Geospatial Modeling for Healthcare Center Optimization Using Urban Vertical Growth and Accessibility Metrics

Authors
Neeraj S. Kumar1, J. Idhikash2, O. S. Jannath Nisha3, *
1School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India
2School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India
3School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India
*Corresponding author. Email: jannath.nisha@vit.ac.in
Corresponding Author
O. S. Jannath Nisha
Available Online 31 December 2025.
DOI
10.2991/978-94-6463-978-0_3How to use a DOI?
Keywords
Geo spatial; Temporal; Urban zones; Graph Convolution Network; Percentile thresholding; Clustering; Principal Component Analysis
Abstract

Our work involves developing a spatial modeling approach to enhance health- care facility placement within rapidly urbanizing regions through identification of vulnerable zones where health care accessibility lags behind building construction growth. To measure healthcare services in identified zones, the study uses 2.5D time building height data from Google and geocoded healthcare data of Indian urban areas.It uses percentile thresholds of building height data to identify high-rise buildings and roads to measure healthcare services in those areas. The model identifies periurban regions, in which building height increments coincide with a decline in the health care coverage, by aggregating spatial correlation methods and measures of accessibility. Our framework, which has a better quantitative performance than the conventional baseline models, provides useful information to the urban planners, who can utilize it to plan as to how to develop infrastructure as well as to guarantee equitable distribution of resources and sustainable high density urban development. The framework will be made to be expandable, and demographic and socioeconomic data will be integrated into it in the future.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)
Series
Advances in Engineering Research
Publication Date
31 December 2025
ISBN
978-94-6463-978-0
ISSN
2352-5401
DOI
10.2991/978-94-6463-978-0_3How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Neeraj S. Kumar
AU  - J. Idhikash
AU  - O. S. Jannath Nisha
PY  - 2025
DA  - 2025/12/31
TI  - Geospatial Modeling for Healthcare Center Optimization Using Urban Vertical Growth and Accessibility Metrics
BT  - Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)
PB  - Atlantis Press
SP  - 15
EP  - 29
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-978-0_3
DO  - 10.2991/978-94-6463-978-0_3
ID  - Kumar2025
ER  -