CRAFT: Comprehensive Resilience Assessment Framework for Transportation Systems in Urban Areas

Koç, Eyüphan; Çetiner, Barbaros; Rose, Adam; Soibelman, Lúcio; Taciroğlu, Ertuǧrul; Wei, Dan

doi:10.1016/j.aei.2020.101159

Cited by 32 publications

(5 citation statements)

References 49 publications

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“…In this section, the focus is given to the latter three steps (bridge assessment, transportation network analysis, and economic impact analysis), highlighting their granularity and applicability to regional analysis. The hazard characterization method follows Koc et al (2020) and Cetiner (2020) where for seismic hazards, first, a scenario earthquake is identified, followed by the use of ground motion prediction equations (GMPEs) to get Intensity Measure (IM) outputs, such as peak ground acceleration (PGA), peak ground velocity (PGV), and peak ground displacement (PGD) which are then used as inputs to the subsequent bridge modeling methods.…”

Section: Methodology Frameworkmentioning

confidence: 99%

A Granular Framework for Modeling the Capacity Loss and Recovery of Regional Transportation Networks under Seismic Hazards: A Case Study on the Port of Los Angeles

Virtucio,

Cetiner,

Zhao

et al. 2024

PEER Reports

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Earthquakes, being both unpredictable and potentially destructive, pose great risks to critical infrastructure systems like transportation. It becomes crucial, therefore, to have both a fine-grained and holistic understanding of how the current state of a transportation system would fare during hypothetical hazard scenarios. This paper introduces a synthesis approach to assessing the impacts of earthquakes by coupling an image-based structure-and-site-specific bridge fragility generation methodology with regional-scale traffic simulations and economic loss prediction models. The proposed approach’s use of context-rich data such as OpenStreetMap and Google Street View enables incorporating information that is abstracted in standard loss analysis tools like HAZUS in order to construct nonlinear bridge models and corresponding fragility functions. The framework uses a semi-dynamic traffic assignment model run on a regional traffic network that includes all freeways and local roads (1,444,790 edges) and outputs traffic volume on roads before and after bridge closures due to an earthquake as well as impacts to individual trips (42,056,426 trips). The combination of these models enables granularity, facilitating a bottom-up approach to estimating costs incurred solely due to physical damage to the transportation network. As a case study, the proposed framework is applied to the road network surrounding the Port of Los Angeles---an infrastructure of crucial importance---for assessing resilience and losses at a high resolution. It is found that the port area is disproportionately impacted in the hypothetical earthquake scenario, and delays in bridge repair can lead to a 50% increase in costs.

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Section: Methodology Frameworkmentioning

confidence: 99%

A Granular Framework for Modeling the Capacity Loss and Recovery of Regional Transportation Networks under Seismic Hazards: A Case Study on the Port of Los Angeles

Virtucio,

Cetiner,

Zhao

et al. 2024

PEER Reports

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show abstract

“…The results are illustrated in Figure 7. According to the results, among the surveyed studies, energy systems (e.g., [37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55]), transportation networks (e.g., [56][57][58][59][60][61][62][63][64][65][66][67][68][69]), and water supply networks (e.g., [70][71][72][73][74][75][76][77][78]) have the highest frequency as case studies, among other fields. Meanwhile, health care infrastructures [79,80], industrial processes [81][82][83], supply chain [84], mining sector…”

Section: In What Type Of Technological Ciss Has the Concept Of Resilience Been Used?mentioning

confidence: 99%

The Resilience of Critical Infrastructure Systems: A Systematic Literature Review

et al. 2021

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Risk management is a fundamental approach to improving critical infrastructure systems’ safety against disruptive events. This approach focuses on designing robust critical infrastructure systems (CISs) that could resist disruptive events by minimizing the possible events’ probability and consequences using preventive and protective programs. However, recent disasters like COVID-19 have shown that most CISs cannot stand against all potential disruptions. Recently there is a transition from robust design to resilience design of CISs, increasing the focus on preparedness, response, and recovery. Resilient CISs withstand most of the internal and external shocks, and if they fail, they can bounce back to the operational phase as soon as possible using minimum resources. Moreover, in resilient CISs, early warning enables managers to get timely information about the proximity and development of distributions. An understanding of the concept of resilience, its influential factors, and available evaluation and analyzing tools are required to have effective resilience management. Moreover, it is important to highlight the current gaps. Technological resilience is a new concept associated with some ambiguity around its definition, its terms, and its applications. Hence, using the concept of resilience without understanding these variations may lead to ineffective pre- and post-disruption planning. A well-established systematic literature review can provide a deep understanding regarding the concept of resilience, its limitation, and applications. The aim of this paper is to conduct a systematic literature review to study the current research around technological CISs’ resilience. In the review, 192 primary studies published between 2003 and 2020 are reviewed. Based on the results, the concept of resilience has gradually found its place among researchers since 2003, and the number of related studies has grown significantly. It emerges from the review that a CIS can be considered as resilient if it has (i) the ability to imagine what to expect, (ii) the ability to protect and resist a disruption, (iii) the ability to absorb the adverse effects of disruption, (iv) the ability to adapt to new conditions and changes caused by disruption, and (v) the ability to recover the CIS’s normal performance level after a disruption. It was shown that robustness is the most frequent resilience contributing factor among the reviewed primary studies. Resilience analysis approaches can be classified into four main groups: empirical, simulation, index-based, and qualitative approaches. Simulation approaches, as dominant models, mostly study real case studies, while empirical methods, specifically those that are deterministic, are built based on many assumptions that are difficult to justify in many cases.

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“…With the deepening and systematization of toughness research, the connotation of toughness has experienced from engineering toughness emphasizing “single equilibrium state” to ecological toughness emphasizing “multiple equilibrium states” to “not pursuing equilibrium state”. “Evolutionary toughness, in which the connotation of transportation system toughness [ 16 , 17 ] and research [ 18 , 19 ] are also constantly expanding and improving. This paper proposes that in the face of the new crown epidemic public health emergencies, the urban transportation system toughness refers to the urban transportation system in the face of epidemic interference, maintaining and restoring the normal level of service, and face the next interference, that is, the organic combination of resistance, recovery and adaptive ability.…”

Section: Introductionmentioning

confidence: 99%

Urban transportation system toughness assessment under New Crown epidemics

Feng,

Zeng

2024

PLoS ONE

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Since the concept of toughness was introduced to transportation systems, transportation system toughness has received extensive attention from researchers in the field of transportation worldwide. In this paper, a methodology for quantifying and assessing the toughness of urban transportation systems is proposed in the context of the New Crown epidemic. Firstly, the definition of urban transportation system toughness in this context is clarified, and the entropy evaluation method is applied to construct the performance curve of urban transportation systems over time. Then, it is proposed to quantify the system’s resistance, recovery, and adaptive ability in terms of the change in the cumulative amount of system performance. Finally, the three characteristic abilities of system toughness are organically combined to obtain a comprehensive assessment of system toughness. Example calculations and analyses are carried out in four Chinese cities with different levels of development, and the results show that the performance of urban transportation systems is positively correlated with their levels of development, and all of them fluctuate greatly under the influence of the epidemic, but Wuhan has the strongest resistance and recovery ability of the transportation system, and shows the highest toughness, followed by Lanzhou, Changchun, and Shanghai. The system toughness quantification and assessment methods proposed in this paper provide a reference for research on improving the ability of urban transportation systems to deal with multiple uncertainty disturbances.

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CRAFT: Comprehensive Resilience Assessment Framework for Transportation Systems in Urban Areas

Cited by 32 publications

References 49 publications

A Granular Framework for Modeling the Capacity Loss and Recovery of Regional Transportation Networks under Seismic Hazards: A Case Study on the Port of Los Angeles

A Granular Framework for Modeling the Capacity Loss and Recovery of Regional Transportation Networks under Seismic Hazards: A Case Study on the Port of Los Angeles

The Resilience of Critical Infrastructure Systems: A Systematic Literature Review

Urban transportation system toughness assessment under New Crown epidemics

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