Understanding and managing disaster evacuation on a transportation network

Lambert, James H.; Parlak, Ayse I.; Zhou, Qian; Miller, John S.; Fontaine, Michael D.; Guterbock, Thomas M.; Clements, Janet L.; Thekdi, Shital

doi:10.1016/j.aap.2012.06.015

Cited by 44 publications

(21 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Individuals, organizations, and societies often need to establish priorities in order to address the myriad risks to their health, safety, and environment, and the road transport system has proved to be one of the most critical infrastructures …”

Section: Introductionmentioning

confidence: 99%

The Multiscale Importance of Road Segments in a Network Disruption Scenario: A Risk‐Based Approach

2014

View full text Add to dashboard Cite

This article addresses the problem of the multiscale importance of road networks, with the aim of helping to establish a more resilient network in the event of a road disruption scenario. A new model for identifying the most important roads is described and applied on a local and regional scale. The work presented here represents a step forward, since it focuses on the interaction between identifying the most important roads in a network that connect people and health services, the specificity of the natural hazards that threaten the normal functioning of the network, and an assessment of the consequences of three real-world interruptions from a multiscale perspective. The case studies concern three different past events: road interruptions due to a flood, a forest fire, and a mass movement. On the basis of the results obtained, it is possible to establish the roads for which risk management should be a priority. The multiscale perspective shows that in a road interruption the regional system may have the capacity to reorganize itself, although the interruption may have consequences for local dynamics. Coordination between local and regional scales is therefore important. The model proposed here allows for the scaling of emergency response facilities and human and physical resources. It represents an innovative approach to defining priorities, not only in the prevention phase but also in terms of the response to natural disasters, such as awareness of the consequences of road disruption for the rescue services sent out to local communities.

show abstract

Section: Introductionmentioning

confidence: 99%

The Multiscale Importance of Road Segments in a Network Disruption Scenario: A Risk‐Based Approach

2014

View full text Add to dashboard Cite

show abstract

“…In evacuation, researchers work with two types of data: predisaster data (e.g., [23]) and post-disaster data (e.g., [28]). Pre-disaster data are used to understand how people and/or infrastructure systems expect to behave/react under a disaster occurrence.…”

Section: Data Availability and Data Collection Challengesmentioning

confidence: 99%

A multi-perspective dynamic network performance efficiency measurement of an evacuation: A dynamic network-DEA approach

Herrera-Restrepo

Triantis

Trainor

et al. 2016

Omega

View full text Add to dashboard Cite

“…Kabul power system rehabilitation USAID power transmission expansion and connectivity x 5 Kajaki Dam Unit 2 USAID x 6 CASA-1000 World Bank x 7 Kabul to Pakistan border transmission line ADB TUTAP x 8 Turkmenistan interconnection phase 1 x 9 Turkmenistan interconnection phase 2 x 10 Turkmenistan interconnection phase 3 x 11 Kunduz- Taloqan Kabul distribution network ADB Tranche 2 x 21 Dual voltage transformers, oil treatment plant, and monitoring devices ADB Tranche 2 x 22 DABS management assistance ADB Tranche 2 x 23 Gereshk hydropower plant rehabilitation and upgrade ADB Tranche 3 x 24 Gereshk distribution network upgrade ADB Tranche 3 x 25 Gereshk end-user metering system ADB Tranche 3 x 26 Tranche 3 project implementation and supervision consultants ADB Tranche 3 x 27 AFG/TKM border to Sheberghan transmission line ADB Tranche 4 x 28 Sheberghan to Mazar Sharif transmission line ADB Tranche 4 x 29 Andkhoy and Sheberghan substations ADB Tranche 4 x 30 Mazar Sharif substation expansion ADB Tranche 4 x 31 Pul-e-Alam and Gardez distribution networks ADB Tranche 4 x 32 Pul-e-Alam and Gardez substation equipment ADB Tranche 4 x 33 Tranche 4 PM and implementation consultants ADB Tranche 4 x 34…”

Section: Overview Of the Demonstrationmentioning

confidence: 99%

“…Progress toward system resilience is thus achieved by focusing traditional risk assessments to the combinations of stressors that most matter to the relative ordering of initiatives. The applications have included prioritization of infrastructure projects in developing countries, (25) energy security, (26,27) development of a biofuel industry, (28) disaster management, (29,30) and impacts of climate change to infrastructure investment. (26,31,32) The current article introduces resilience analytics to the prioritization of initiatives in the electric power sector of Afghanistan.…”

Section: Introductionmentioning

confidence: 99%

Resilience Analytics with Application to Power Grid of a Developing Region

et al. 2016

Self Cite

View full text Add to dashboard Cite

Infrastructure development of volatile regions is a significant investment by international government and nongovernment organizations, with attendant requirements for risk management. Global development banks may be tasked to manage these investments and provide a channel between donors and borrowers. Moreover, various stakeholders from the private sector, local and international agencies, and the military can be engaged in conception, planning, and implementation of constituent projects. Emergent and future conditions of military conflict, politics, economics, technology, environment, behaviors, institutions, and society that stress infrastructure development are prevalent, and funding mechanisms are vulnerable to fraud, waste, and abuse. This article will apply resilience analytics with scenario-based preferences to identify the stressors that most influence a prioritization of initiatives in the electric power sector of Afghanistan. The resilience in this article is conceived in terms of the degree of disruption of priorities when stressors influence the preferences of stakeholders, and ultimately a prioritization of initiatives. The ancillary results include an understanding of which initiatives contribute most and least across strategic criteria and which criteria have the most impact for the analysis. The article concludes with recommendations for risk monitoring and risk management of the portfolio of stressors through the life cycle and horizon of grid capacity expansion.

show abstract

Understanding and managing disaster evacuation on a transportation network

Cited by 44 publications

References 4 publications

The Multiscale Importance of Road Segments in a Network Disruption Scenario: A Risk‐Based Approach

The Multiscale Importance of Road Segments in a Network Disruption Scenario: A Risk‐Based Approach

A multi-perspective dynamic network performance efficiency measurement of an evacuation: A dynamic network-DEA approach

Resilience Analytics with Application to Power Grid of a Developing Region

Contact Info

Product

Resources

About