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dc.contributor.authorKhaghani, Farnazen
dc.contributor.authorJazizadeh, Farrokhen
dc.date.accessioned2020-06-30T16:37:25Zen
dc.date.available2020-06-30T16:37:25Zen
dc.date.issued2020-06-15en
dc.identifier.citationKhaghani, F.; Jazizadeh, F. mD-Resilience: A Multi-Dimensional Approach for Resilience-Based Performance Assessment in Urban Transportation. Sustainability 2020, 12, 4879.en
dc.identifier.urihttp://hdl.handle.net/10919/99191en
dc.description.abstractAs demonstrated for extreme events, the resilience concept is used to evaluate the ability of a transportation system to resist and recover from disturbances. Motivated by the high cumulative impact of recurrent perturbations on transportation systems, we have investigated resilience quantification as a performance assessment method for high-probability low-impact (HPLI) disturbances such as traffic congestions. Resilience-based metrics are supplementary to conventional travel-time-based indices in literature. However, resilience is commonly quantified as a scalar variable despite its multi-dimensional nature. Accordingly, by hypothesizing increased information gain in performance assessment, we have investigated a multi-dimensional approach (mD-Resilience) for resilience quantification. Examining roadways’ resilience to recurrent congestions as a contributor to sustainable mobility, we proposed to measure resilience with several attributes that characterize the degradation stage, the recovery stage, and possible recovery paths. These attributes were integrated into a performance index by using Data Envelopment Analysis (DEA) as a non-parametric method. We demonstrated the increased information gain by quantifying the performance of major freeways in Los Angeles, California using Performance Measurement System (PeMS) data. The comparison of mD-Resilience approach with the method based on area under resilience curves showed its potential in distinguishing the severity of congestions. Furthermore, we showed that mD-Resilience also characterizes performance from the lens of delay and bottleneck severities.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titlemD-Resilience: A Multi-Dimensional Approach for Resilience-Based Performance Assessment in Urban Transportationen
dc.typeArticle - Refereeden
dc.date.updated2020-06-30T16:27:30Zen
dc.contributor.departmentCivil and Environmental Engineeringen
dc.title.serialSustainabilityen
dc.identifier.doihttps://doi.org/10.3390/su12124879en
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen


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Creative Commons Attribution 4.0 International
License: Creative Commons Attribution 4.0 International