Transportation Network Reconstruction for Natural Disasters in the Emergency Phase Based on Connectivity Reliability

Li, Bin; Hu, Xiaowei; Xie, Binglei

doi:10.1061/41039(345)488

Cited by 8 publications

(6 citation statements)

References 2 publications

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“…To ensure system connectivity, there should be at least one valid path between any OD pair. That is, pre-disaster retrofit decision plan Y should ensure that there is at least one path k on which post-disaster connectivity state π(ω a , y a ) of all links is 1 between any OD pair [i, j] under disaster scenario ω [15].…”

Section: Upper Level Of the Modelmentioning

confidence: 99%

“…Constraint (6) shows that the retrofit cost is not supposed to exceed budget constraints because of limited construction funds. To ensure system connectivity [15] under disaster scenario ω, constraint (7) shows that it is necessary for at least one path to exist between OD pair [i, j] after being retrofitted as optimization plan Y. To ensure travel time reliability of a transportation system after being retrofitted as optimization plan Y under disaster scenario ω, constraint (8) shows that the ratio of emergency travel time to normal travel time between OD pairs should not exceed a coefficient γ t [16], whose value depends on the required retrofit effect.…”

Section: Upper Level Of the Modelmentioning

confidence: 99%

“…It is hard to estimate their specific time, scope of impact, and development trend [12,13]. The damage to infrastructures of transportation systems caused by disasters can have an enormous impact on system connectivity, travel time, and link capacity [14][15][16][17]. To improve the accessibility and transport quality of transportation systems in disasters, this paper suggests that it is significant to retrofit transportation systems in advance.…”

Section: Introductionmentioning

confidence: 99%

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Pre-Disaster Retrofit Decisions for Sustainable Transportation Systems in Urban Areas

Zhou¹,

Jiang²,

Qin³

2019

Sustainability

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A transportation system is an important material base for implementing timely rescue and emergency evacuation after disasters in urban areas. In order to reduce disaster risks and develop sustainable transportation systems, it is important to improve their resilience and ensure their reliability. This paper mainly studies pre-disaster retrofit decisions for sustainable transportation systems in urban areas. As the optimization goal, pre-disaster retrofit costs and post-disaster restoration costs under constraints of post-disaster system connectivity, travel time reliability, and post-disaster link capacity are taken into account to construct a bi-level stochastic programming model. A method based on the simulated annealing algorithm and Frank–Wolfe algorithm is used to solve the problem. The case study shows that the calculation is quick, and the result is reasonable. The study result proves that the method proposed in this paper can provide an effective solution to such problems.

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Section: Upper Level Of the Modelmentioning

confidence: 99%

Section: Upper Level Of the Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Pre-Disaster Retrofit Decisions for Sustainable Transportation Systems in Urban Areas

Zhou¹,

Jiang²,

Qin³

2019

Sustainability

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“…The Warshall algorithm was used for fuzzy mathematical manipulation and a reachability matrix was developed to decide on the connectivity of the transportation system network. Li et al [17] established a transportation network reconstruction model based on connectivity reliability for the post-disaster emergency phase.…”

Section: Literature Reviewmentioning

confidence: 99%

Reliability of Tehran transportation network during earthquakes

Shabani

Nassiri

2016

Scientia Iranica

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Tehran is the capital of Iran and is one of the largest cities in the world. With its history of earthquakes, high population density, and a population of over 8.5 million, it must be prepared to cope with disaster. This article introduces a new method for estimating the reliability of a roadway network that considers the physical characteristics of the road and link capacity degradation. The proposed method was applied to a real road network and the connectivity reliability of the city was calculated. The proposed technique for computing connectivity reliability is sensitive to the characteristics of the road and adjacent buildings. The results indicate that northern Tehran, with a low population density and newer buildings and highway network, shows higher reliability for origin and destination trips than other regions. This region has a higher probability of connectedness to other regions after a disaster. The weakest area of the network lies in the southern and central regions with older buildings and no highway network. These regions show low connectivity reliability and high population density. These results provide useful insights into the vulnerability of the Tehran network in response to a major earthquake.

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“…When dealing with complex large-scale networks, it is often necessary to split them into several "small road networks" for analysis. Connectivity reliability is more used to evaluate the reliability after road paralysis caused by disasters [6], which is not applicable to the reliability evaluation of the conventional road network.…”

Section: Introductionmentioning

confidence: 99%

A Modified Network-Wide Road Capacity Reliability Analysis Model for Improving Transportation Sustainability

2020

Algorithms

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Reserve capacity is the core of reliability analysis based on road network capacity. This article optimizes its bi-level programming model: the upper-level model has added service level coefficient and travel time limit, which realizes the unification of capacity and travel time reliability analysis to a certain extent. Stochastic user equilibrium (SUE) model based on origin has been selected as the lower-level model, which added capacity constraints to optimize distribution results, and allows the evaluation of reliability to be continued. Through the SUE model, the iterative step size of the method of successive averages can be optimized to improve the efficiency of the algorithm. After that, the article designs the algorithm flow of reliability analysis based on road network capacity, and verifies the feasibility of the designed algorithm with an example. Finally, combined with the conclusion of reliability analysis, this article puts forward some effective methods to improve the reliability of the urban road network.

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Transportation Network Reconstruction for Natural Disasters in the Emergency Phase Based on Connectivity Reliability

Cited by 8 publications

References 2 publications

Pre-Disaster Retrofit Decisions for Sustainable Transportation Systems in Urban Areas

Pre-Disaster Retrofit Decisions for Sustainable Transportation Systems in Urban Areas

Reliability of Tehran transportation network during earthquakes

A Modified Network-Wide Road Capacity Reliability Analysis Model for Improving Transportation Sustainability

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