notesum.ai

Published at December 9

Applying Machine Learning Tools for Urban Resilience Against Floods

cs.LG

Released Date: December 9, 2024

Authors: Mahla Ardebili Pour¹, Mohammad B. Ghiasi¹, Ali Karkehabadi¹

Aff.: ¹University of California, Davis

Arxiv: http://arxiv.org/pdf/2412.06205v1

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Model Name	Indicators	Scale
CDRI[33]	Physical, Social, Economic, Organizational, Natural	City/Region
URF [20]	Urban systems (ecosystem, infrastructure, organization)	City/District
PEOPLES[22]	Population, Environment, Gov. Services, Infrastructure, Lifestyle, Economy, Social	Multi-City
BRIC[21]	Social, Economic, Institutional, Infrastructure, Social Capital	County
STDRM[23]	Economic, Health, Organizational, Physical, Social	County
CCRAM[24]	Leadership, Collective Efficacy, Preparedness, Trust, Relationship	Societies
SERV[25]	Sensitivity, Exposure, Adaptive Capacity	County
WISC[26]	Welfare, Identity, Social Services, Social Capitals	Communities
REDI[27]	Physical, Social, Natural	Local/Regional
S-DReP[28]	Spatio-environmental	High-density Cities