Evaluation of the Optimum Restoration Process for Transportation Systems After Seismic Disaster

Yamada, Y.; Iemura, Hirokazu; Noda, Shigeru; Izuno, Kazuyuki

doi:10.2208/jscej.1986.368_355

Cited by 9 publications

(2 citation statements)

References 6 publications

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“…Computing the derivatives of Eq. (13) with respect to y j,k and 2 μ , and deriving the following equations, the amounts y j,k of the effects on the public sector and road managers are obtained. …”

Section: Assessment Of Effects On the Public Sector And Road Managersmentioning

confidence: 99%

“…Kawakami 1) developed a probabilistic model to assess damage to road networks after seismic events, and based on the model, estimated the reduction in function of road networks in view of the anticipated amount of traffic. Yamada et al 2) and Kawashima and Sugita 3) investigated the characteristics of the reconstruction process of affected road networks and proposed an assessment model. Sato et al 4) proposed a method to assess the importance of road networks in view of maintaining functionality after seismic events.…”

Section: Introductionmentioning

confidence: 99%

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Modeling Effects of Functional Impairment After Seismic Damage to Road Networks

Shoji

Fueki

2007

Structural Eng./Earthquake Eng.

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We developed a model for evaluating the effects of functional impairment of road networks due to seismic damage, based on the data from the 1995 Hyogo-ken Nambu Earthquake. The effects of functional impairment of road networks on various sectors were analyzed to clarify the relationship between functional impairment of road networks due to a seismic event and seismic damage to road networks. Functional impairment due to seismic structural damage to road networks was modeled as a functional impairment matrix. Combining the model of seismic damage effects with the functional impairment matrix, we assessed the cost of the functional impairment associated with the Hanshin Expressway Route 3.

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Section: Assessment Of Effects On the Public Sector And Road Managersmentioning

confidence: 99%