Research on the urban resilience evaluation with hybrid multiple attribute TOPSIS method: an example in China.

Hybrid multiple attribute group decision-making Intuitionistic trapezoidal fuzzy numbers TOPSIS method Urban resilience

Journal

Natural hazards (Dordrecht, Netherlands)
ISSN: 0921-030X
Titre abrégé: Nat Hazards (Dordr)
Pays: Netherlands
ID NLM: 101632392

Informations de publication

Date de publication:
2020
Historique:
received: 06 02 2019
accepted: 24 04 2020
pubmed: 16 5 2020
medline: 16 5 2020
entrez: 16 5 2020
Statut: ppublish

Résumé

Cities are important barriers to protect people's lives and property in the face of natural disasters, economic fluctuations and epidemic diseases. The evaluation of urban resilience is a hybrid multiple attribute group decision-making problem involving both crisp and fuzzy indicators. In order to evaluate the urban resilience reasonably and quantitatively, an urban resilience evaluation index system is established, including four primary indicators of ecological environment, municipal facilities, economic development and social development, and 28 secondary indicators. An evaluation model based on the theory of intuitionistic fuzzy set and TOPSIS method is proposed. The intuitionistic trapezoidal fuzzy number is used to quantify the fuzzy index and determine the weights of experts. The weight of each index is determined based on the maximizing deviation method. The relevant data of Dalian City from 2013 to 2017 are collected to evaluate the city resilience, and a sensitivity analysis is carried out based on the proposed model. The results may provide insights for the further urban resilience promotion.

Identifiants

pubmed: 32412523
doi: 10.1007/s11069-020-04000-0
pii: 4000
pmc: PMC7220654
doi:

Types de publication

Journal Article

Langues

eng

Pagination

557-577

Informations de copyright

© Springer Nature B.V. 2020.

Auteurs

Xiaolin Xun (X)

Department of Construction Management, Dalian University of Technology, Room 508, Comprehensive Experiment Building No. 3, Ganjingzi District, Dalian, 116024 Liaoning China.

Yongbo Yuan (Y)

Department of Construction Management, Dalian University of Technology, Room 508, Comprehensive Experiment Building No. 3, Ganjingzi District, Dalian, 116024 Liaoning China.

Classifications MeSH