AI-enhanced predictive analytics for assessing infrastructure resilience and urban living conditions under climate change scenarios

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Publication Details

Journal
Journal of Infrastructure Preservation and Resilience
Published
2026-08-14
DOI
https://doi.org/10.1186/s43065-026-00202-1
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
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article

AI-enhanced predictive analytics for assessing infrastructure resilience and urban living conditions under climate change scenarios

Yuqiong Liu, Lunli Zhao, Zhengyuan Yang
Journal of Infrastructure Preservation and Resilience
Infrastructure Resilience and Vulnerability Analysis
article

AI-enhanced predictive analytics for assessing infrastructure resilience and urban living conditions under climate change scenarios

Yuqiong Liu, Lunli Zhao, Zhengyuan Yang
article en

Abstract

No abstract available for this paper.
Journal of Infrastructure Preservation and Resilience
Liaoning Shihua University (CN), Chuxiong Normal University (CN), Jiangxi University of Science and Technology (CN)
Climate action
Openalex Percentile: Top 15%
Infrastructure Resilience and Vulnerability Analysis
DOIOpen Access PDFOpenAlex
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AI-enhanced predictive analytics for assessing infrastructure resilience and urban living conditions under climate change scenarios — Yuqiong Liu, Lunli Zhao, et al. · Journal of Infrastructure Preservation and Resilience (2026) | TGRS Research Map | TGRS