عنوان مقاله [English]
In densely populated urban areas, at the time of earthquake, how to accurately determine the risky zone, to take effective measures to evacuate inhabitants quickly out of dangerous areas and to minimize the unexpected losses are major concerns of urban managers and government authorities. Over the last two decades, there has been considerable interest in modeling emergency transportation and evacuation for a well-defined zone and event scenario. Emergency transportation is one of the issues that become significantly important after a disaster. Once a disaster occurs (particularly earthquakes), the demand for infrastructure reaches its maximum and often leads to a heavy traffic. On the other hand, due to the resulted damages, the roads resiliency is reduced. To expedite the emergency transportation, the most optimal routes should be taken into account. The emergency transportation aims to transfer the affected population to the safe area, keeps the traffic in order and recovers
the normal status in time. Efficiency parameters can embody and affect the emergency transportation and evacuation efficiency in the emergency evacuation, including evacuation time, mean evacuation speed, travel time and vehicle quality. By determining the optimal routes for emergency transportation in the possible shortest time, the highest possible services will be provided resulting in an increase in the capacity for the urban crisis management. The significance of determining and optimizing emergency ransporting routes, however, has not been fully appreciated in Iran. The present analytical-descriptive study is aimed at determining the parameters influencing the determination of optimal routes for emergency. Therefore, analytical hierarchy process is used to extract such parameters and implement them in Tehran district No. 1.As a result, 17 parameters affect on the determining the optimal paths. The major parameters include safety, traffic, length of path and culture. Population density is the most significant factor with 23.55 percent, and the quality of vehicles is the least significant one with 2.13 percent of significance.