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Yin Zhang

Chinese Academy of Sciences (CAS) - Institute of Urban Environment

SCHOLARLY PAPERS

3

DOWNLOADS

113

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Cascading Effects of Flood Impact on Resilience management of Coastal Urban Lifeline Systems

Number of pages: 39 Posted: 01 Sep 2025
affiliation not provided to SSRN, Chinese Academy of Sciences (CAS) - Institute of Urban Environment, affiliation not provided to SSRN, Chinese Academy of Sciences (CAS) - Institute of Urban Environment and affiliation not provided to SSRN
Downloads 56 (1,020,567)

Abstract:

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flood resilience management, urban lifeline system, cascading risk, Social Vulnerability, emergency recovery capacity assessment

2.

Cascading Flood Risks and Resilience Management in Coastal Cities: An Integrated Framework for Urban Lifeline Systems

Number of pages: 29 Posted: 13 Dec 2025
affiliation not provided to SSRN, Chinese Academy of Sciences (CAS) - Institute of Urban Environment, Shihezi University, Chinese Academy of Sciences (CAS) - Institute of Urban Environment and affiliation not provided to SSRN
Downloads 44 (1,170,409)

Abstract:

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flood resilience management, urban lifeline system, cascading risk, Social Vulnerability, emergency recovery capacity assessment

3.

Determinants of Carbon Emission Efficiency of Food Delivery Service in Chinese Cities

Number of pages: 43 Posted: 16 Jun 2026
Chinese Academy of Sciences (CAS) - Institute of Urban Environment, Chinese Academy of Sciences (CAS) - Institute of Urban Environment, Australian National University (ANU) - The Fenner School of Environment and Society, Chinese Academy of Sciences (CAS), Wuhan University, Chinese Academy of Sciences (CAS) - Academy of Mathematics and Systems Science (AMSS), Chinese Academy of Sciences (CAS) - Institute of Urban Environment, University of Chinese Academy of Sciences, Chinese Academy of Sciences (CAS) - Center for Forecasting Science; Academy of Mathematics and Systems Sciences and Independent
Downloads 13

Abstract:

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food delivery, per-delivery emission, urban sustainability, built environment, electric vehicles, explainable machine learning, structural equation modeling