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Integrating Socio-Economic Variables in Urban Flood Damage Assessments: A Case Study of Bengaluru, India

Pathak, AA, Mathad, AR and Gagnon, A (2024) Integrating Socio-Economic Variables in Urban Flood Damage Assessments: A Case Study of Bengaluru, India. Natural Hazards. ISSN 0921-030X

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Abstract

Urban flooding, a result of precipitation surpassing the drainage capacity of a metropolitan area, has notable consequences on the economic and social facets of the community. Understanding and mitigating the potential impacts of flooding necessitates completing a comprehensive flood risk assessment. This research evaluates flood damage in flood-prone areas of the Koramangala-Challaghatta Valley (KC Valley) in Bengaluru, India. The study surveyed flood-prone areas to gather data on the population's characteristics, demographics and economic status, property specifics, and repair costs for residential and commercial properties. By employing Random Forest and multivariate regression analyses, the study pinpointed the primary variables influencing flood damage, which were then utilised to create flood damage functions for the residential and commercial sectors. The results reveal that economic variables play a vital role in determining the degree of safeguarding and capacity for resilience against the repercussions of flood-induced impacts within commercial environments. It was observed that regions with higher commercial property valuations are more inclined to allocate resources towards enhanced flood mitigation strategies and possess more robust infrastructural frameworks, resulting in diminished susceptibility to potential damages. This study's findings have significant practical implications for policymakers and urban planners, empowering them to make informed decisions that underscore the significance of economic resilience in regions susceptible to flooding and the potential for these insights to shape future flood risk management strategies.

Item Type: Article
Additional Information: This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://doi.org/10.1007/s11069-024-07019-9
Uncontrolled Keywords: urban flooding; flood damage assessment; flood depth-damage curves; survey; multivariate regression; Bengaluru; India; 0401 Atmospheric Sciences; 0406 Physical Geography and Environmental Geoscience; 1701 Psychology; Strategic, Defence & Security Studies
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Divisions: Biological and Environmental Sciences (from Sep 19)
Publisher: Springer
SWORD Depositor: A Symplectic
Date Deposited: 08 Nov 2024 10:31
Last Modified: 22 Nov 2024 11:00
DOI or ID number: 10.1007/s11069-024-07019-9
URI: https://researchonline.ljmu.ac.uk/id/eprint/24709
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