Abstract
Road accidents, as one of the causes of mortality in human societies, have many adverse social and economic consequences. Various measures can improve the safety of travel. One of them is to find appropriate location of relief infrastructures. The proper pre-positioning of relief chains locations can decrease road users’ fatalities. Thus this paper presents a multi-objective mathematical model to the pre-positioning of a relief chain for road accidents. Then the model is solved by a non-dominated sorting genetic algorithm. Factors that affect the location of relief chains are identified using a multi-attribute decision-making method. Finally, potential locations are proposed for the relief chain locations.
Highlights
Iran is a vast country with different kinds of roads and vehicles
According to World Health Organization (WHO) statistics, about 1.35 million people die in road accidents globally every year, and Between 20 and 50 million are injured
Road accidents are among the unnatural disasters that human societies face as the use of car expands
Summary
Iran is a vast country with different kinds of roads and vehicles. Along with the economic and welfare benefits, the country faces difficulties caused by this volume of traffic, such as an increased number of traffic accidents and their related costs. No adequate studies have been done on what factors are important in determining suitable locations for a road relief chain. This paper attempts to locate a relief chain on the arterial road network in Semnan province, such that the responsible organisations (as beneficiaries of government) can help with accident injuries at the least cost and in the shortest time. What is considered is that injured people (as beneficiaries of society) want relief hubs to serve them with the maximum capacity. This makes the deviation of existing capacity and budgets inevitable; but the model tries to minimise this deviation. Data from Semnan province are entered into the model, and the potential location of a relief chain is suggested
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