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Quantitative measures for integrating resilience into transportation planning practice: Study in Texas.

Authors :
Lee, Cheng-Chun
Rajput, Akhil Anil
Hsu, Chia-Wei
Fan, Chao
Yuan, Faxi
Dong, Shangjia
Esmalian, Amir
Farahmand, Hamed
Patrascu, Flavia Ioana
Liu, Chia-Fu
Li, Bo
Ma, Junwei
Mostafavi, Ali
Source :
Transportation Research Part D: Transport & Environment. Dec2022, Vol. 113, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

Using quantitative measures to assess road network resilience, this study proposes a system-level framework that offers insights into existing road network resilience that could inform the planning and development processes of transportation agencies. This study identified and implemented four quantitative metrics to classify the criticality of road segments based on dimensions of road network resilience. Integrating the four metrics of classification using two mathematical approaches, this study arrived at overall resilience performance metrics for assessing road segment criticality. A case study was conducted on Texas road networks to demonstrate the effectiveness of implementing this framework in a practical scenario. The data used in this study is available to other states and countries; thus, the framework presented in this study can be adopted by transportation agencies for regional transportation resilience assessments. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13619209
Volume :
113
Database :
Academic Search Index
Journal :
Transportation Research Part D: Transport & Environment
Publication Type :
Academic Journal
Accession number :
160506338
Full Text :
https://doi.org/10.1016/j.trd.2022.103496