Scenario-based assessment of urban community climate resilience under flood Risk: An integrated UCCRI–AHP–TOPSIS framework
- 1Environment and Safety Management Program, Faculty of Science, Chandrakasem Rajabhat University, Bangkok, Thailand
- 2Sustainable Community and Urban Health Research Unit, Rajamangala University of Technology Thanyaburi (RMUTT), Thailand
- 3Sustainable Community and Urban Health Research Unit, Rajamangala University of Technology Thanyaburi (RMUTT), Thailand; Corresponding author.
Abstract
Recent decades have witnessed increasingly recurrent climate-induced urban flooding, particularly in densely urbanized cities with low-lying topography, undermining climate-resilient and sustainable urban development. To address this challenge, this study introduces a scenario-based multi-criteria decision analysis (MCDA) framework for assessing and prioritizing community-scale climate resilience under flood risk. The proposed MCDA framework integrates the Urban Community Climate Resilience Index (UCCRI) with the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). It was applied to two flood-prone urban communities in Lat Phrao District, Bangkok, Thailand, using household survey data from 230 respondents, expert judgments from 20 specialists, and flood-susceptibility screening based on digital elevation models. Results revealed very high flood exposure, with 47.8% of households experiencing recurrent flooding more than four times in the past decade, while only 13.0% reported flood insurance coverage. The greatest flood-risk burden was associated with infrastructure, buildings, and household assets (composite risk score = 4.44), followed by health and livelihoods (4.38) and economic impacts (4.35). AHP results highlighted the dominant role of institutional and social dimensions in shaping urban community climate resilience, particularly network support, government agency management, kinship ties, and community cohesion. TOPSIS analysis showed that priority adaptation pathways varied by scenario. Bioretention ponds and swales were favored under nature-based strategies, automatic power cut-off systems under technological strategies, community welfare support under economic strategies, and community coordinators under social strategies. These findings demonstrate that flood risk undermines urban climate sustainability through infrastructure damage, livelihood disruption, economic vulnerability, and reduced adaptive capacity. The proposed UCCRI–AHP–TOPSIS framework thus offers a decision-support tool for context-sensitive flood resilience planning. Future studies should incorporate hydrodynamic modeling, cost-benefit analysis, climate projections, and cross-district comparisons to enhance predictive validity and applicability.
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BibTeX
@article{garshasbi2026scenariobased,
title = {{Scenario-based assessment of urban community climate resilience under flood Risk: An integrated UCCRI–AHP–TOPSIS framework}},
author = {Duangporn Garshasbi and Prinya Mruksirisuk and Nawhath Thanwiset Thanvisitthpon},
journal = {Climate Risk Management},
year = {2026},
month = oct,
doi = {10.1016/j.crm.2026.100892},
url = {https://doi.org/10.1016/j.crm.2026.100892},
note = {CC BY},
}
RIS
TY - JOUR
TI - Scenario-based assessment of urban community climate resilience under flood Risk: An integrated UCCRI–AHP–TOPSIS framework
AU - Duangporn Garshasbi
AU - Prinya Mruksirisuk
AU - Nawhath Thanwiset Thanvisitthpon
PY - 2026
DA - 2026/10/30
JO - Climate Risk Management
DO - 10.1016/j.crm.2026.100892
UR - https://doi.org/10.1016/j.crm.2026.100892
AB - Recent decades have witnessed increasingly recurrent climate-induced urban flooding, particularly in densely urbanized cities with low-lying topography, undermining climate-resilient and sustainable urban development. To address this challenge, this study introduces a scenario-based multi-criteria decision analysis (MCDA) framework for assessing and prioritizing community-scale climate resilience under flood risk. The proposed MCDA framework integrates the Urban Community Climate Resilience Index (UCCRI) with the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). It was applied to two flood-prone urban communities in Lat Phrao District, Bangkok, Thailand, using household survey data from 230 respondents, expert judgments from 20 specialists, and flood-susceptibility screening based on digital elevation models. Results revealed very high flood exposure, with 47.8% of households experiencing recurrent flooding more than four times in the past decade, while only 13.0% reported flood insurance coverage. The greatest flood-risk burden was associated with infrastructure, buildings, and household assets (composite risk score = 4.44), followed by health and livelihoods (4.38) and economic impacts (4.35). AHP results highlighted the dominant role of institutional and social dimensions in shaping urban community climate resilience, particularly network support, government agency management, kinship ties, and community cohesion. TOPSIS analysis showed that priority adaptation pathways varied by scenario. Bioretention ponds and swales were favored under nature-based strategies, automatic power cut-off systems under technological strategies, community welfare support under economic strategies, and community coordinators under social strategies. These findings demonstrate that flood risk undermines urban climate sustainability through infrastructure damage, livelihood disruption, economic vulnerability, and reduced adaptive capacity. The proposed UCCRI–AHP–TOPSIS framework thus offers a decision-support tool for context-sensitive flood resilience planning. Future studies should incorporate hydrodynamic modeling, cost-benefit analysis, climate projections, and cross-district comparisons to enhance predictive validity and applicability.
SN - 2212-0963
ER -