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Disasters: Lessons from the past 105 years [electronic resource]
, Article Disaster Prevention and Management ; Vol. 17, Issue: 1, pp.62 -82 ; Larson, Richard ; Sharif University of Technology
Abstract
The purpose of this paper is to study and review some major impacts of the disasters during the past 105 years and develop a new theoretical classification of disasters. Design/methodology/approach– A detailed study of disasters in the world during the period (1900‐2005) has been obtained from the recent published sources. In that period more than 40 lessons have been reported based on statistical data analysis of disasters. Furthermore, a two‐dimensional probability density function is developed to categorize the different types of disasters. This paper studies and reviews some major impacts of disasters during the past 105 years and summarizes some major lessons for the future....
Optimal distribution of the injured in a multi-type transportation network with damage-dependent travel times: Two metaheuristic approaches
, Article Socio-Economic Planning Sciences ; 2018 ; 00380121 (ISSN) ; Mahdavi Amiri, N ; Sharif University of Technology
Elsevier Ltd
2018
Abstract
We study a location-allocation-routing problem for distribution of the injured in a disaster response scenario, considering a three-type transportation network with separate links. A circle-based approach to estimate the impacts of the disaster is presented. After formulating relations for computing the percentage of the injured, the destruction percentage and the damage-dependent travel times, the problem is formulated as an integer nonlinear program. We utilize a genetic algorithm and a discrete version of the imperialist competitive algorithm for solving large problems. An empirical study focused on earthquakes in Tabriz, Iran, illustrates applicability of the proposed model and...
Modeling and optimizing recovery strategies for power distribution system resilience
, Article IEEE Systems Journal ; Volume 15, Issue 4 , 2021 , Pages 4725-4734 ; 19328184 (ISSN) ; Fotuhi Firuzabad, M ; Moeini Aghtaie, M ; Safdarian, A ; Dehghanian, P ; Wang, F ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2021
Abstract
Both frequency and intensity of natural disasters have intensified in recent years. It is, therefore, essential to design effective strategies to minimize their catastrophic consequences. Optimizing recovery tasks, including distribution system reconfiguration (DSR) and repair sequence optimization (RSO), are the key to enhance the agility of disaster recovery. This article aims to develop a resilience-oriented DSR and RSO optimization model and a mechanism to quantify the recovery agility. In doing so, a new metric is developed to quantify the recovery agility and to identify the optimal resilience enhancement strategies. The metric is defined as 'the number of recovered customers divided...
Simulation of the Operations and Interactions of Agencies Responsible for the Post-Disaster Response and Recovery of the Community
, M.Sc. Thesis Sharif University of Technology ; Kashani, Hamed (Supervisor)Optimal distribution of the injured in a multi-type transportation network with damage-dependent travel times: Two metaheuristic approaches
, Article Socio-Economic Planning Sciences ; Volume 68 , 2019 ; 00380121 (ISSN) ; Mahdavi Amiri, N ; Sharif University of Technology
Elsevier Ltd
2019
Abstract
We study a location-allocation-routing problem for distribution of the injured in a disaster response scenario, considering a three-type transportation network with separate links. A circle-based approach to estimate the impacts of the disaster is presented. After formulating relations for computing the percentage of the injured, the destruction percentage and the damage-dependent travel times, the problem is formulated as an integer nonlinear program. We utilize a genetic algorithm and a discrete version of the imperialist competitive algorithm for solving large problems. An empirical study focused on earthquakes in Tabriz, Iran, illustrates applicability of the proposed model and...
A Decision Support System (DSS) for Relief Logistics in the Event of an Unexpected Natural Disaster
, M.Sc. Thesis Sharif University of Technology ; Eshghi, Kourosh (Supervisor)
Abstract
Examples from recent years, such as Covid-19 disease and earthquakes, show that disasters can have devastating effects on a community.These disasters are divided into two categories: expected and unexpected. decision makers cannot easily determine the time, severity and effects of them. Therefore, they must coordinate their decisions in the pre-disaster and post-disaster stages according to the incomplete information available, and according to the dynamics of the situation, quickly understand and interpret the connections between different decisions. Among the various approaches, the decision support system can explore the variable and unpredictable nature of such issues and enable decision...
An effective approach for aid planning on multi-type transportation networks after a disaster
, Article International Journal of Industrial and Systems Engineering ; Volume 34, Issue 3 , 2020 , Pages 342-364 ; Mahdavi Amiri, N ; Sharif University of Technology
Inderscience Publishers
2020
Abstract
We present a new approach for emergency response planning to the injured on a multi-type transportation network. We consider a three-type transportation network with separate connection links simultaneously: road, rail and air networks. In this study, a circle-based approach is presented where using concentric circles with various radiuses, different levels of the effect of a disaster are considered. After formulating the relations, we present an integer nonlinear programming model for the problem. The model is to determine the locations for establishment of temporary aid stations among the candidate locations, the type of aid stations, the percentage of the injured allocated to each...