Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/160687
Title: Resilience assessment of regional areas against earthquakes using multi-source information fusion
Authors: Chen, Weiyi
Zhang, Limao
Keywords: Engineering::Civil engineering
Issue Date: 2021
Source: Chen, W. & Zhang, L. (2021). Resilience assessment of regional areas against earthquakes using multi-source information fusion. Reliability Engineering & System Safety, 215, 107833-. https://dx.doi.org/10.1016/j.ress.2021.107833
Project: 04MNP000279C120
04MNP002126C120
04INS000423C120
Journal: Reliability Engineering & System Safety
Abstract: This paper proposes a hybrid information fusion approach that integrates the Dempster-Shafer (D-S) evidence theory and cluster analysis, in order to assess the resilience of regional areas against earthquakes at an early stage. The developed resilience assessment framework involves indicators within geological, building, and social dimensions. Basic probability assignments (BPAs) of evidence are determined based on mass functions (MFs) firstly. Subsequently, these BPAs are fused by a new evidence fusion method incorporating the K-means clustering. The proposed evidence fusion method comprises two steps, namely intra-evidence fusion and inter-evidence fusion, to mitigate the adverse effects of conflicts in the multi-source evidence. Defuzzification is implemented on the fused BPA to obtain a representative value for the quantitative evaluation of seismic resilience. A global sensitivity analysis (GSA) is employed to investigate the impacts of various indicators on the resilience of regional areas. A case study in Nepal is used to examine the practicability and validity of the proposed approach. In the case study, the seismic resilience of Nepal at the district level is assessed in a quantitative manner. The research results imply that: (1) There are 84.4% of districts that possess a relatively low overall seismic resilience within the country of Nepal. (2) Building foundation type, internal wall type, and population density are the most sensitive factors contributing to the degree of resilience. (3) The proposed approach tends to provide more rational assessment results with conflicting evidence, compared with the conventional fusion method. The developed approach can be used as a decision tool to estimate regional resilience and provide insights into proactive control and damage mitigation.
URI: https://hdl.handle.net/10356/160687
ISSN: 0951-8320
DOI: 10.1016/j.ress.2021.107833
Schools: School of Civil and Environmental Engineering 
Rights: © 2021 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:CEE Journal Articles

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