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mD-Resilience: A Multi-Dimensional Approach for Resilience-Based Performance Assessment in Urban Transportation

Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA
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Sustainability 2020, 12(12), 4879; https://doi.org/10.3390/su12124879
Received: 17 May 2020 / Revised: 11 June 2020 / Accepted: 11 June 2020 / Published: 15 June 2020
(This article belongs to the Section Sustainable Transportation)
As 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. View Full-Text
Keywords: resilience; transportation systems; congestion; sustainable mobility; PeMS; traffic; mobility; Data Envelopment Analysis resilience; transportation systems; congestion; sustainable mobility; PeMS; traffic; mobility; Data Envelopment Analysis
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MDPI and ACS Style

Khaghani, F.; Jazizadeh, F. mD-Resilience: A Multi-Dimensional Approach for Resilience-Based Performance Assessment in Urban Transportation. Sustainability 2020, 12, 4879. https://doi.org/10.3390/su12124879

AMA Style

Khaghani F, Jazizadeh F. mD-Resilience: A Multi-Dimensional Approach for Resilience-Based Performance Assessment in Urban Transportation. Sustainability. 2020; 12(12):4879. https://doi.org/10.3390/su12124879

Chicago/Turabian Style

Khaghani, Farnaz, and Farrokh Jazizadeh. 2020. "mD-Resilience: A Multi-Dimensional Approach for Resilience-Based Performance Assessment in Urban Transportation" Sustainability 12, no. 12: 4879. https://doi.org/10.3390/su12124879

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