Evacuation behavior of affected individuals and households in response to the 2018 Attica wildfires: From empirical data to models
Evacuation behavior of affected individuals and households in response to the 2018 Attica wildfires: From empirical data to models
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DOI：
10.1016/j.ssci.2022.105799
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发表时间：
2022-05-06
期刊：
影响因子：
6.1
通讯作者：
Wang, Haizhong
中科院分区：
文献类型：
--
作者：
Katzilieris, Konstantinos;Vlahogianni, Eleni I.;Wang, Haizhong
本文的目的是分析在2018年希腊阿提卡野火社区疏散期间道路使用者的家庭反应行为。为了实现这一目标，从2018年东阿提卡野火受影响地区的居民完成的问卷调查中获得了经验数据。调查问卷的设计是由保护性行动决策模型（PADM）指导的。逻辑回归模型和机器学习技术，如随机森林，被开发出来，以确定影响疏散决定的关键因素，以及疏散过程中的模式选择。调查结果显示，对风险的看法，年龄，居住年数，居住的65岁以下成年人人数，在疏散前获取信息的尝试，性别，事先警告的存在，居住的未成年人人数，教育水平和收入是决定在野火期间疏散的最关键因素。关于方式的选择，最关键的因素是是否有可用的车辆、年龄、在撤离前是否试图获得信息以及对风险的认识。
The objective of this paper is to analyze the household response behavior of road users during community evacuations in response to the 2018 Attica wildfires in Greece. To achieve this objective, empirical data were obtained from a questionnaire survey completed by residents from the affected areas by the wildfires of the East Attica in 2018. The design of the survey questionnaire was guided by the Protective Action Decision Model - PADM. Logistic regression models and machine learning techniques such as random forests were developed to identify the critical factors influencing the decision to evacuate or not, as well as the mode choice during evacuation. Findings reveal that the perception of risk, age, years in residence, the number of adults up to 65 years of age in residence, the attempt to obtain information before evacuation, gender, the existence of a prior warning, the number of minors in residence, the level of education and income were the most critical factors to the decision to evacuate during the wildfire. Regarding the mode choice, the most critical factors were the existence of an available vehicle, age, the attempt to obtain information before the evacuation and the perception of risk.