Economic costs of critical infrastructure failure in bi-national regions and implications for resilience building: Evidence from El Paso–Ciudad Juarez

Vadali, Sharada; Chandra, Shailesh; Shelton, Jeff; Valdez, Alex; Medina, Michael

doi:10.1016/j.rtbm.2015.08.001

Cited by 11 publications

(4 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a property of measuring resilience, resourcefulness is the ability of a system to allocate resources rationally to minimize the impacts of hazards and improve its performance [50]. Vadali et al [51] proposed the optimal approach to maintaining infrastructure resilience by using a bi-national dynamic traffic assignment model; this model provides a timely insight into the daily travel impact and economic cost of an unexpected disruption to the ports-of-entry infrastructure. Lau et al [52] identified the most efficient approach to meeting the demand shortage of critical infrastructure and maintaining the resilience of the power grid by establishing a grid optimization model, which consisted of the low-level (micro-grid) and mid-level voltage grid components in urban power grids for disaster recovery.…”

Section: Assessment Of Infrastructure Resiliencementioning

confidence: 99%

Resilience in Infrastructure Systems: A Comprehensive Review

et al. 2022

View full text Add to dashboard Cite

When encountering crisis events, systems, organizations, and people must react and handle these unpredictable events. Under these circumstances, important social functions and infrastructures must be restored or adapted as quickly as possible. This capacity refers to resilience. Although considerable research has been conducted on the resilience of infrastructure systems over the past years, a critical review of these studies remains lacking. Therefore, this study aims to bridge the knowledge gap by presenting a comprehensive review of infrastructure research conducted in the past decade, namely, from 2011 to 2021. On the basis of a systematic search, this study identified 222 journal articles investigating infrastructure resilience. A review of the identified papers revealed five research streams in the area of infrastructure resilience (IR), namely, the assessment of infrastructure resilience, improvement of infrastructure resilience, conceptualizing infrastructure resilience from various perspectives, factors influencing infrastructure resilience, and the prediction of infrastructure resilience. This study also presented some directions that future research can pursue. These directions include analyzing factors influencing infrastructure resilience based on simulation, assessing the resilience of green infrastructure, improving the resilience of interdependent infrastructure, and predicting the resilience of infrastructure based on empirical research.

show abstract

Section: Assessment Of Infrastructure Resiliencementioning

confidence: 99%

Resilience in Infrastructure Systems: A Comprehensive Review

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Several studies focused on quantifying economic losses due to disrupted highway infrastructure (e.g. Ham et al , 2005; Vadali et al , 2015). They involved transportation network modeling techniques to simulate traffic flows after the disruptions, estimating aggravated highway network performance (e.g.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Several studies developed methodologies adopting economic models to quantify the amount of economic loss caused by disrupted transportation infrastructure (e.g. Ham et al , 2005; Vadali et al , 2015). These studies typically involve transportation network demand modeling to simulate traffic flow patterns after the disruptions, which comprise key inputs for economic models subsequently converting the changes in vehicle travel patterns into monetary value.…”

Section: Introductionmentioning

confidence: 99%

Pricing of highway infrastructure for transportation asset management

Lim

Porras-Alvarado²,

Zhang

2019

BEPAM

View full text Add to dashboard Cite

Purpose The purpose of this paper is to present a methodology for estimating the “price,” or the not-to-loss value, of individual highway assets, which reflects not only the assets’ capital value but also economic productivity, by adopting a productivity-based asset valuation framework. The price tags can be used in prioritizing highway assets in support of transportation asset management processes. Design/methodology/approach The methodology adopts the utility theory to consider multiple performance measures reflecting the economic productivity generated by the assets, as well as their capital value. Key performance measures are first selected, and their values are retrieved from highway asset management databases. Next, the utility functions representing decision makers’ preferences convert the performance measures into utility values, which adjust the replacement cost (RC) of each highway asset to estimate price tags. To demonstrate its applicability, case studies were conducted for the highway networks of Texas and Washington State in the USA. Findings The methodology yielded price tags that better reflect the importance of highways’ roles in the economy in comparison to methods where only RCs are used. Furthermore, it was proven to be flexible enough to accommodate local conditions such as varying data availability. Originality/value The research provides a practical and reasonable way to prioritize critical highway assets in purport of maintenance and rehabilitation resource allocations, based on their economic productivity as well as physical condition and historical cost information, enhancing the overall efficiency and effectiveness of highway asset management.

show abstract

“…These increased risks of transportation disruption against the background of complex global linkages warrant investigating the effects of recent disruptions on supply chain networks. 12 Studies have aimed to quantify the ramifications of road, 13 inland waterway, 14 and port disruptions, 15 focusing on areas such as operational transportation costs, 16 shipper and carrier costs, 17 reputation loss, and port business loss. 18 Regarding supply chain losses, studies have used indicators such as increased transportation time, 12 associated costs, 19 , 20 , 21 and the extent of transportation infrastructure damage 22 to quantify the degree of disruption.…”

Section: Introductionmentioning

confidence: 99%

Modeling the dynamic impacts of maritime network blockage on global supply chains

Qu,

She,

Zhou

et al. 2024

The Innovation

View full text Add to dashboard Cite

Economic costs of critical infrastructure failure in bi-national regions and implications for resilience building: Evidence from El Paso–Ciudad Juarez

Cited by 11 publications

References 9 publications

Resilience in Infrastructure Systems: A Comprehensive Review

Resilience in Infrastructure Systems: A Comprehensive Review

Pricing of highway infrastructure for transportation asset management

Modeling the dynamic impacts of maritime network blockage on global supply chains

Contact Info

Product

Resources

About