During a residential settlement evacuation, a large number of individuals do not have access to any private means of transport in order to be evacuated;these people are assembled at Evacuation Assembly Points (E.A.P.s...During a residential settlement evacuation, a large number of individuals do not have access to any private means of transport in order to be evacuated;these people are assembled at Evacuation Assembly Points (E.A.P.s), so as to be picked up, gathered and evacuated by the competent authorities. The present study aims to evaluate whether some pedestrian assembly points are adequate for these people’s fastest assembly, taking into account the demographic characteristics of the studied population and the incline of the studied area’s ground. In order for said fastest assembly and evacuation to be achieved Geographical Information Systems (G.I.S.) and GPS measurements have been employed. The suggested method has led to the creation of the households’ classification maps based upon their inhabitants’ response time in order to improve the pre-existent Intervention Teams’ contingency plans. First, in order to identify the demographic characteristics of the studied population, we have employed the field survey method;second, we have determined the fastest and ergo optimal evacuation routes using the Dijkstra algorithm. What is more, the results hereof prove that it is feasible that the time it takes to gather the pedestrians be optimized by way of choosing the best evacuation point, whilst a method of large crowds’ evacuation in groups has been developed. The latter could constitute a useful tool for Civil Protection Agents and responders.展开更多
The present study is focused on the development of a methodology pertaining to the evacuation plans improvement in a scenario where infrastructures are located in residential settlements that might be threatened by fi...The present study is focused on the development of a methodology pertaining to the evacuation plans improvement in a scenario where infrastructures are located in residential settlements that might be threatened by fires;the aforesaid settlements are oftentimes found to be resided by vulnerable population groups, namely elderly people, handicapped people and children. The study pinpoints Evacuation Assembly Points (E.A.P.s) on the outskirts of their settlement and examines the evacuation routes accessibility and safety by way of utilizing Geographic Information Systems (GISs). What is more, our meticulously planned methodology combining quantitative analysis, as well as participatory planning, allows for improve strategies targeted on how to effectively ensure the vulnerable population groups evacuation. The study’s results exhibit how vital it is to integrate technological tools in combination with each community’s partaking in the process of preparing and implementing evacuation plans. The study’s findings furthermore suggest the need to further research the evolution of dynamic evacuation models, which would take the ever-changing and ever-evolving needs of vulnerable population groups into account.展开更多
文摘During a residential settlement evacuation, a large number of individuals do not have access to any private means of transport in order to be evacuated;these people are assembled at Evacuation Assembly Points (E.A.P.s), so as to be picked up, gathered and evacuated by the competent authorities. The present study aims to evaluate whether some pedestrian assembly points are adequate for these people’s fastest assembly, taking into account the demographic characteristics of the studied population and the incline of the studied area’s ground. In order for said fastest assembly and evacuation to be achieved Geographical Information Systems (G.I.S.) and GPS measurements have been employed. The suggested method has led to the creation of the households’ classification maps based upon their inhabitants’ response time in order to improve the pre-existent Intervention Teams’ contingency plans. First, in order to identify the demographic characteristics of the studied population, we have employed the field survey method;second, we have determined the fastest and ergo optimal evacuation routes using the Dijkstra algorithm. What is more, the results hereof prove that it is feasible that the time it takes to gather the pedestrians be optimized by way of choosing the best evacuation point, whilst a method of large crowds’ evacuation in groups has been developed. The latter could constitute a useful tool for Civil Protection Agents and responders.
文摘The present study is focused on the development of a methodology pertaining to the evacuation plans improvement in a scenario where infrastructures are located in residential settlements that might be threatened by fires;the aforesaid settlements are oftentimes found to be resided by vulnerable population groups, namely elderly people, handicapped people and children. The study pinpoints Evacuation Assembly Points (E.A.P.s) on the outskirts of their settlement and examines the evacuation routes accessibility and safety by way of utilizing Geographic Information Systems (GISs). What is more, our meticulously planned methodology combining quantitative analysis, as well as participatory planning, allows for improve strategies targeted on how to effectively ensure the vulnerable population groups evacuation. The study’s results exhibit how vital it is to integrate technological tools in combination with each community’s partaking in the process of preparing and implementing evacuation plans. The study’s findings furthermore suggest the need to further research the evolution of dynamic evacuation models, which would take the ever-changing and ever-evolving needs of vulnerable population groups into account.
