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A multi-level characterization method for the assessment of urban ecological risks

Bibliographic Data

ID19500480
AuthorsChunming Li (0000-0002-4159-7048, Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China), Yuantong Jiang (0000-0002-6203-1705, Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China), Xinyi Yang (0000-0002-5128-5128, Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China), Dingkai Chen (0000-0003-0590-1767, Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China, corresponding author)
Year2018
Volume25
Issue5
Pages396-402
Publication date2018-07-04
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueInternational Journal of Sustainable Development & World Ecology (JOURNAL)
Journal identifiersISSN: 1350-4509 • E-ISSN: 1745-2627
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13504509.2017.1420706
OpenAlexW2777092028
LanguageEN
Citations received6
References cited15

Urban ecological risk characterization is the final step in risk assessment and an important foundation upon which risk managers build risk aversion, risk control, and emergency handling strategies. In this study, we reviewed present risk characterization methods and proposed a multi-level characterization method for the assessment of urban ecological risks. The new characterization method consists of four elements: urban ecological risk sources, risk source probabilities, assessment endpoint indicators, and assessment endpoint indicator probabilities. Using this method, results of risk assessments can be organized into different levels of detail to meet different risk management goals

Business · Environmental planning · Environmental resource management · Risk assessment · Risk management · Computer Science · Environmental and Social Impact Assessments · Environmental Science · Infrastructure Resilience and Vulnerability Analysis · Risk and Safety Analysis

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Unique citing works6
Citations per year0.75
Citation span2018 - 2019 (2)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 4

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