Infrastructure access and availability as determinants of community vulnerability: A spatial analysis of 733 districts in India

As natural disasters increase in frequency and severity, infrastructure planning must account for how existing deficits and disparities shape community vulnerability and recovery. While regional vulnerability and resilience frameworks consider infrastructure systems as core determinants, the interaction between infrastructure characteristics, such as access and availability, and their influence on community vulnerability remain underexplored, particularly in the Global South. To this end, we leverage open-source geospatial data to construct granular datasets for 733 districts in India and apply statistical methods to assess relationships between community and infrastructure-related characteristics. Specifically, we consider three dimensions of infrastructure at the district level: (a) regional critical infrastructure availability, (b) social infrastructure density, and (c) household-level essential utility access. Geographic distributions and distinct profiles of infrastructure characteristics, are identified by employing clustering algorithms on composite indicators, while spatial regression models evaluate the association between community vulnerability and infrastructure dimensions. Findings suggest that access to essential utilities is the strongest factor associated with reduced vulnerability, with a significant interaction between critical infrastructure availability and utility access, indicating potential synergistic effects. Regions with below-average infrastructure provisions are associated with higher community vulnerability and may therefore warrant greater resource investment to achieve equitable vulnerability reduction outcomes. This study provides empirical evidence of synergistic effects using district-level geospatial analysis, supporting coordinated infrastructure development at network and household levels to enhance community capabilities and resilience. • District-level analysis links infrastructure systems to community vulnerability. • Household utility access shows the strongest association with reduced vulnerability. • Synergistic effects exist between infrastructure access and availability. • Findings inform equitable and data-driven infrastructure strategies in India.

Authors

Institutions

Publication Details

Journal
Sustainable Cities and Society
Published
2026-02-05
DOI
https://doi.org/10.1016/j.scs.2026.107182
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Infrastructure access and availability as determinants of community vulnerability: A spatial analysis of 733 districts in India

Chirag Kothari, Srijith Balakrishnan, Shivam Srivastava
Sustainable Cities and Society
Infrastructure Resilience and Vulnerability Analysis
article

Infrastructure access and availability as determinants of community vulnerability: A spatial analysis of 733 districts in India

Chirag Kothari, Srijith Balakrishnan, Shivam Srivastava
article en

Abstract

As natural disasters increase in frequency and severity, infrastructure planning must account for how existing deficits and disparities shape community vulnerability and recovery. While regional vulnerability and resilience frameworks consider infrastructure systems as core determinants, the interaction between infrastructure characteristics, such as access and availability, and their influence on community vulnerability remain underexplored, particularly in the Global South. To this end, we leverage open-source geospatial data to construct granular datasets for 733 districts in India and apply statistical methods to assess relationships between community and infrastructure-related characteristics. Specifically, we consider three dimensions of infrastructure at the district level: (a) regional critical infrastructure availability, (b) social infrastructure density, and (c) household-level essential utility access. Geographic distributions and distinct profiles of infrastructure characteristics, are identified by employing clustering algorithms on composite indicators, while spatial regression models evaluate the association between community vulnerability and infrastructure dimensions. Findings suggest that access to essential utilities is the strongest factor associated with reduced vulnerability, with a significant interaction between critical infrastructure availability and utility access, indicating potential synergistic effects. Regions with below-average infrastructure provisions are associated with higher community vulnerability and may therefore warrant greater resource investment to achieve equitable vulnerability reduction outcomes. This study provides empirical evidence of synergistic effects using district-level geospatial analysis, supporting coordinated infrastructure development at network and household levels to enhance community capabilities and resilience. • District-level analysis links infrastructure systems to community vulnerability. • Household utility access shows the strongest association with reduced vulnerability. • Synergistic effects exist between infrastructure access and availability. • Findings inform equitable and data-driven infrastructure strategies in India.

Sustainable Cities and SocietyVol. 138
Indian Institute of Technology Kanpur (IN), Delft University of Technology (NL)
Industry, innovation and infrastructure
Openalex Percentile: Top 67%
Infrastructure Resilience and Vulnerability Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.