Journal article
A New Approach for Measuring the Resilience of Transport Infrastructure Networks
Complexity (New York, N.Y.), Vol.2020, pp.1-16
08/17/2020
DOI: 10.1155/2020/7952309
Abstract
Resilience is an important property of transport infrastructure networks. Resilient transport infrastructure networks can retain the performance in case of disturbances and quickly recover to the original performance level after the disturbances. This study proposes a new approach that can measure the resilience of transport infrastructure networks. The new approach gives a unified conceptual framework for measuring the resilience of transport infrastructure networks. A network simulation-based method is used to analyze the influential factors of transport infrastructure network resilience. A new measuring method is developed based on network diversity characteristic to quantitatively measure the system resilience and node resilience of transport infrastructure networks. China railway and air transport networks are selected as a case study to applicability of new approach. This new approach provides strong supports for academic and industrial fields to measure, analyze, enhance, and optimize the resilience of transport infrastructure networks.
Details
- Title: Subtitle
- A New Approach for Measuring the Resilience of Transport Infrastructure Networks
- Creators
- Liang Wang - School of Maritime Economics and ManagementDalian Maritime UniversityDalian 116026Chinadlmu.edu.cnXiaolong Xue - School of ManagementGuangzhou UniversityGuangzhou 510006Chinagzhu.edu.cnXun Zhou - Tippie College of BusinessUniversity of IowaIowa CityIowa 52242USAuiowa.edu
- Contributors
- Guangdong Wu (Editor)
- Resource Type
- Journal article
- Publication Details
- Complexity (New York, N.Y.), Vol.2020, pp.1-16
- DOI
- 10.1155/2020/7952309
- ISSN
- 1076-2787
- eISSN
- 1099-0526
- Publisher
- Hindawi
- Grant note
- 2019B101001019 / Guangdong Science and Technology Department 71671053; 71841024; 71771067; 71390522 / National Natural Science Foundation of China 2016YFC0701800; 2016YFC0701808 / National Key R&D Program of China 18ZDA043 / National Social Science Fund of China 3132020224 / Fundamental Research Funds for the Central Universities
- Language
- English
- Date published
- 08/17/2020
- Academic Unit
- Business Analytics
- Record Identifier
- 9984066102802771
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