An Integrated Disaster Preparedness Model for Retrofitting and Relief Item Transportation

Döyen, Alper; Aras, Necatı

doi:10.1007/s11067-019-9441-6

Cited by 6 publications

(6 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Details are provided in Table 7. The majority of work has f ocused on protection of links in transportation networks in order to optimize one or more objectives such as maximizing postearthquake connectivity [70,75], minimizing travel cost [70,71,76], minimizing investment/retrofitting cost [46,71,72,76], minimizing unsatisfied demand [71,76], and maximizing evacuation capacity [43].…”

Section: Protection Planningmentioning

confidence: 99%

See 1 more Smart Citation

Use of OR in earthquake operations management: A review of the literature and roadmap for future research

Çoban

Scaparra

O’Hanley

2021

International Journal of Disaster Risk Reduction

View full text Add to dashboard Cite

Section: Protection Planningmentioning

confidence: 99%

“…Only a few studies have additionally or exclusively looked at retrofitting buildings [72,73,76]. Liberatore et al [73], for example, decide which hospitals to fortify in order to minimize maximum reduction in medical service capacity (i.e., unmet demand) and patient assignment costs in the presence of propagating failures.…”

Section: Protection Planningmentioning

confidence: 99%

Use of OR in earthquake operations management: A review of the literature and roadmap for future research

Çoban

Scaparra

O’Hanley

2021

International Journal of Disaster Risk Reduction

View full text Add to dashboard Cite

“…Travel cost is measured by a variable which takes on real numbers between 0 and 1 and which measures how close to the shortest path the demand for an OD pair is allowed to take through the network. Noyan (2012) and Döyen and Aras (2019) use a mixture of road data along with scenario dependent costs to form their cost functions, while Mohammadi, Ghomi, and Jolai (2016) use exclusively scenario dependent costs. Fan and Liu (2010) employ the BPR function for their stochastic network protection problem for arc costs, but no stochastic parameters are involved.…”

Section: Multi-stage Disaster Relief Modelsmentioning

confidence: 99%

A Hybrid Inverse Optimization-Stochastic Programming Framework for Network Protection

Allen¹,

Terekhov²,

Gabriel³

2021

Preprint

View full text Add to dashboard Cite

Disaster management is a complex problem demanding sophisticated modeling approaches. We propose utilizing a hybrid method involving inverse optimization to parameterize the cost functions for a road network's traffic equilibrium problem and employing a modified version of Fan and Liu (2010)'s two-stage stochastic model to make protection decisions using the information gained from inverse optimization. We demonstrate the framework using two types of cost functions for the traffic equilibrium problem and show that accurate parameterizations of cost functions can change spending on protection decisions in most of our experiments.

show abstract

“…The criteria considered for evaluating retrofit schemes in the existing literature include retrofit investment costs (Fan et al 2010;Huang et al 2014;Dong et al 2015;Morbin et al 2015;Lu et al 2018;Döyen and Aras 2019), transportation travel costs (Fan et al 2010;Huang et al 2014), topological aspects (Rokneddin et al 2013), deteriorated bridge fragility (Rokneddin et al 2013), component performance and systematic resilience (Venkittaraman and Banerjee 2013), economic loss (Dong et al 2014), sustainability (Dong et al 2015), and travel time reliability (Zhou et al 2019). In this article, we also consider the limited investment budget, economic risk of roadside tree blowdown, and road network resilience in optimal retrofit decision making.…”

Section: Literature Reviewmentioning

confidence: 99%

Resilience-Driven Road Network Retrofit Optimization Subject to Tropical Cyclones Induced Roadside Tree Blowdown

Yang

Thompson

2020

Int J Disaster Risk Sci

View full text Add to dashboard Cite

This article focuses on decision making for retrofit investment of road networks in order to alleviate severe consequences of roadside tree blowdown during tropical cyclones. The consequences include both the physical damage associated with roadside trees and the functional degradation associated with road networks. A trilevel, two-stage, and multiobjective stochastic mathematical model was developed to dispatch limited resources to retrofit the roadside trees of a road network. In the model, a new metric was designed to evaluate the performance of a road network; resilience was considered from robustness and recovery efficiency of a road network. The proposed model is at least a nondeterministic polynomial-time hardness (NP-hard) problem, which is unlikely to be solved by a polynomial time algorithm. Pareto-optimal solutions for this problem can be obtained by a proposed trilevel algorithm. The random forest method was employed to transform the trilevel algorithm into a single-level algorithm in order to decrease the computation burden. Roadside tree retrofit of a provincial highway network on Hainan Island, China was selected as a case area because it suffers severely from tropical cyclones every year, where there is an urgency to upgrade roadside trees against tropical cyclones. We found that roadside tree retrofit investment significantly alleviates the expected economic losses of roadside tree blowdown, at the same time that it promotes robustness and expected recovery efficiency of the road network.

show abstract

An Integrated Disaster Preparedness Model for Retrofitting and Relief Item Transportation

Cited by 6 publications

References 32 publications

Use of OR in earthquake operations management: A review of the literature and roadmap for future research

Use of OR in earthquake operations management: A review of the literature and roadmap for future research

A Hybrid Inverse Optimization-Stochastic Programming Framework for Network Protection

Resilience-Driven Road Network Retrofit Optimization Subject to Tropical Cyclones Induced Roadside Tree Blowdown

Contact Info

Product

Resources

About