Measuring the Performance of Transportation Infrastructure Systems in Disasters: A Comprehensive Review

Faturechi, Reza; Miller-Hooks, Elise

doi:10.1061/(asce)is.1943-555x.0000212

Cited by 336 publications

(168 citation statements)

References 134 publications

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“…Thus, the value of travel time has to be taken into consideration. Note that one of the major assumptions made here is the constant commuting demand before and after the disaster (e.g., commuters continue completing their homeworkplace trips after an earthquake), which is a widely accepted assumption by researchers in the field (Stergiou and Kiremidjian 2006;Faturechi and Miller-Hooks 2014). However, the travel times and distances fluctuate as mentioned before.…”

Section: Frameworkmentioning

confidence: 92%

“…In other words, commuting times and distances are affected by infrastructure system disruptions (i.e., functionality losses in bridges as the most critical links in the urban transport network), while the number of commuters, and their origins and destinations, is assumed to remain unchanged. This is a widely used assumption in transportation network resilience research (Stergiou and Kiremidjian 2006;Faturechi and Miller-Hooks 2014). Second, in terms of economic impacts, only the disturbance to the commuting by driving is considered for reasons described above related to the study region.…”

Section: Assumptions and Data Sourcesmentioning

confidence: 99%

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Disturbances to Urban Mobility and Comprehensive Estimation of Economic Losses

et al. 2018

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Civil infrastructure systems are disturbed by natural or man-made hazards at an increasing frequency and severity. Among these systems, transportation systems are especially vulnerable due to their nature and are of significant importance to urban built environments as they maintain the mobility of urban dwellers and goods. Mobility disturbances are significant not only due to the direct losses associated but also due to the greater economic impacts driven by indirect losses stemming from the economic interactions of regions and sectors. Therefore, understanding the economic impacts of urban mobility disturbances is critical. To achieve a better understanding of the status quo of the research on transportation disturbances and economic impact analysis, a literature review was conducted. The review indicates that most of the articles fail to leverage realistic hazard impact information and explicit network modeling, consequently jeopardizing the credibility of the results. To begin addressing the gaps in the field, an interdisciplinary framework was designed to investigate the economic impacts of mobility disturbances. To validate the framework, a case study was conducted to estimate the economic impacts of commuting-based mobility disturbances resulting from a potential earthquake scenario in the Greater Los Angeles Area. The direct and indirect economic losses were estimated to be 285.49 and 93.48 million dollars, respectively. The results indicated that the economic losses could vary significantly among regions as well as industries. Among the five counties in the study region, Los Angeles County suffered the most. In addition, industries related to finance, education and scientific services, etc. were estimated to experience larger losses.

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Section: Frameworkmentioning

confidence: 92%

Section: Assumptions and Data Sourcesmentioning

confidence: 99%

Disturbances to Urban Mobility and Comprehensive Estimation of Economic Losses

et al. 2018

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“…The validation approach is the final approach to managing uncertainty and involves "culling" the ensemble by removing unrealistic models based on performance criteria (Charles et al 1999;Flato et al 2013;Mote et al 2011). Some studies have demonstrated that ranking the models based on performance leads to a difference in predictions (Gleckler et al, while others have shown that the differences due to model culling is slight (Mote et al 2011); however, one study found that results for a precipitation metric were nearly indistinguishable between the average of the 11 best performing GCMs and 11 randomly selected GCMs, from the CMIP3 ensemble (Knutti et al 2009).…”

Section: Bounding Uncertaintymentioning

confidence: 99%

“…Recently, increased attention has been directed to infrastructure reliability (the ability of systems to remain functional during a disaster) and resiliency (the ability to resist, absorb, and adapt to disruptions) (Faturechi and Miller-Hooks 2014). To ensure reliable and resilient infrastructure, engineering design standards must account for anticipated future conditions (Milly et al 2008;Olsen 2015;Mailhot and Duchesne 2009;Moss et al 2013;Barros and Evans 1997).…”

Section: Introductionmentioning

confidence: 99%

Framework for Incorporating Downscaled Climate Output into Existing Engineering Methods: Application to Precipitation Frequency Curves

Cook

Anderson

Samaras

2017

J. Infrastruct. Syst.

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Abstract:To improve the resiliency of designs, particularly for long-lived infrastructure, current engineering practice must be updated to incorporate a range of future climate conditions that are likely to be different from the past. However, a considerable mismatch exists between climate model outputs and the data inputs needed for engineering designs. The present work provides a framework for incorporating climate trends into design standards and applications, including: selecting the appropriate climate model source based on the intended application, understanding model performance and uncertainties, addressing differences in temporal and spatial scales, and interpreting results for engineering design. The framework is illustrated through an application to depth-duration-frequency curves, which are commonly used in stormwater design. A change factor method is used to update the curves in a case study of Pittsburgh, PA. Extreme precipitation depth is expected to increase in the future for Pittsburgh for all return periods and durations examined, requiring revised standards and designs. Doubling the return period and using historical, stationary values may enable adequate design for short duration storms; however, this method is shown to be insufficient to enable protective designs for larger duration storms.

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“…These authors also verified the benefits of network management with examples such as Boston, Massachusetts. Faturechi and Miller-Hooks [7] elaborated upon the performance of transportation infrastructure during a disaster, including the risk, vulnerability, reliability and flexibility. Cui et al [8] studied the conflict of two traffic flows caused by simultaneous rescues and evacuations in an emergency, and they introduced the concept of conflict cost and redistributed two types of traffic flows.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of a Traffic Control Scheme for a Post-Disaster Urban Road Network

Shao

Liu

et al. 2017

Sustainability

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Traffic control of urban road networks during emergency rescues is conducive to rapid rescue in the affected areas. However, excessive control will lead to negative impacts on the normal traffic order. We propose a novel model to optimize the traffic control scheme during the post-disaster emergency rescue period named PD-TCM (post-disaster traffic control model). In this model, the vertex and edge betweenness indexes of urban road networks are introduced to evaluate the controllability of the road sections. The gravity field model is also used to adjust the travel time function of different road sections in the control and diverging domains. Experimental results demonstrate that the proposed model can obtain the optimal traffic control scheme efficiently, which gives it the ability to meet the demand of emergency rescues as well as reducing the disturbances caused by controls.

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Measuring the Performance of Transportation Infrastructure Systems in Disasters: A Comprehensive Review

Cited by 336 publications

References 134 publications

Disturbances to Urban Mobility and Comprehensive Estimation of Economic Losses

Disturbances to Urban Mobility and Comprehensive Estimation of Economic Losses

Framework for Incorporating Downscaled Climate Output into Existing Engineering Methods: Application to Precipitation Frequency Curves

Optimization of a Traffic Control Scheme for a Post-Disaster Urban Road Network

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