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Navid Khademi

Researcher at University of Tehran

Publications -  32
Citations -  420

Navid Khademi is an academic researcher from University of Tehran. The author has contributed to research in topics: Travel behavior & Analytic hierarchy process. The author has an hindex of 10, co-authored 30 publications receiving 305 citations. Previous affiliations of Navid Khademi include Cergy-Pontoise University & Iran University of Science and Technology.

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Transportation network vulnerability analysis for the case of a catastrophic earthquake

TL;DR: In this paper, the authors proposed a post-disaster vulnerability analysis for the designed emergency transportation networks in Tehran, an earthquake-prone metropolis in a developing country, by identifying redundancy-based isolation measures to find out which zones in this city are most susceptible to disruptions of the transport system due to a devastating earthquake, and which emergency response trips are most vulnerable in the super-chaotic situation after the earthquake.
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A security vulnerability analysis model for dangerous goods transportation by rail – Case study: Chlorine transportation in Texas-Illinois

TL;DR: It is shown that how critical links can be identified for different terrorist purposes, which could be the subject of further security measures, are shown.
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Increasing the resilience level of a vulnerable rail network: The strategy of location and allocation of emergency relief trains

TL;DR: The proposed framework is employed to a real-world case study, and analytical results reveal the superiority of the proposed model in providing an economical and effective layout compared to conventional maximal covering model.
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Vulnerability analysis of railway networks in case of multi-link blockage

TL;DR: A methodology to analyze the most critical links of a railway network based on flow interdiction to maximize network disruption by removing the links with the greatest impact to the system is proposed.
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Vulnerability evaluation of freight railway networks using a heuristic routing and scheduling optimization model

TL;DR: In this article, the authors proposed a framework for assessing the vulnerability of the freight rail networks by introducing two bi-level models, one determines those critical links which have the greatest impact on the routing cost when interdicted, and the next one takes the cost of rescheduling into account, in addition to that of routing, over all origins and destinations.