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Article

Assessing Urban Flood Resilience with Unascertained Measurement Theory: A Case Study of Jiangxi Province, China

1
Jiangxi Provincial Key Laboratory of Safe and Efficient Mining of Rare Metal Resources, Jiangxi University of Science and Technology, Ganzhou 341000, China
2
School of Safety Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China
3
Yichun Lithium New Energy Industry Research Institute, Jiangxi University of Science and Technology, Yichun 336000, China
*
Author to whom correspondence should be addressed.
Sustainability 2026, 18(1), 49; https://doi.org/10.3390/su18010049
Submission received: 17 November 2025 / Revised: 14 December 2025 / Accepted: 17 December 2025 / Published: 19 December 2025

Abstract

With the acceleration of global climate change and urbanization, urban flooding disasters have become increasingly frequent, posing significant threats to urban safety and sustainable development. Enhancing Urban Flood Resilience (UFR) has become a central issue in urban risk management and spatial planning. This study aims to scientifically assess UFR by employing the core concepts of resistance, recovery, and adaptation from urban resilience theory. A set of 20 indicators for assessing UFR is selected from four aspects: infrastructure, social economy, technological monitoring, and the ecological environment. Addressing the limitations of traditional evaluation methods, which struggle to effectively handle data gaps and ambiguous boundaries, and fail to balance subjective and objective weights, this study introduces the unascertained measure theory and adopts a combined weighting method to construct a UFR evaluation model. Using 2023 statistical data from Jiangxi Province, a comprehensive evaluation of flood resilience was conducted across 11 prefecture-level cities within the province. The analysis indicates that, among level-2 indicators, infrastructure holds the highest weight at 43.7%. Regarding resilience dimensions, resistance dominates with a weight of 54.6%. Furthermore, significant spatial disparities exist in flood resilience levels across Jiangxi Province: high resilience cities are distributed in central and northern Jiangxi, moderately high resilience cities account for the largest proportion. Only one city, Pingxiang, exhibits moderate resilience.
Keywords: urban flood resilience; sustainable urban development; unascertained measurement theory; composite weighting urban flood resilience; sustainable urban development; unascertained measurement theory; composite weighting

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MDPI and ACS Style

Liu, S.; Feng, L.; Xie, J.; Ke, Y. Assessing Urban Flood Resilience with Unascertained Measurement Theory: A Case Study of Jiangxi Province, China. Sustainability 2026, 18, 49. https://doi.org/10.3390/su18010049

AMA Style

Liu S, Feng L, Xie J, Ke Y. Assessing Urban Flood Resilience with Unascertained Measurement Theory: A Case Study of Jiangxi Province, China. Sustainability. 2026; 18(1):49. https://doi.org/10.3390/su18010049

Chicago/Turabian Style

Liu, Shuhong, Lu Feng, Jing Xie, and Yuxian Ke. 2026. "Assessing Urban Flood Resilience with Unascertained Measurement Theory: A Case Study of Jiangxi Province, China" Sustainability 18, no. 1: 49. https://doi.org/10.3390/su18010049

APA Style

Liu, S., Feng, L., Xie, J., & Ke, Y. (2026). Assessing Urban Flood Resilience with Unascertained Measurement Theory: A Case Study of Jiangxi Province, China. Sustainability, 18(1), 49. https://doi.org/10.3390/su18010049

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