Murray-Tuite Pamela, Ge Y Gurt, Zobel Christopher, Nateghi Roshanak, Wang Haizhong
Glenn Department of Civil Engineering, Clemson University, Clemson, SC, USA.
School of Public Administration, University of Central Florida, Orlando, FL, USA.
Risk Anal. 2021 Jul;41(7):1218-1226. doi: 10.1111/risa.13380. Epub 2019 Jul 18.
In hazard and disaster contexts, human-centered approaches are promising for interdisciplinary research since humans and communities feature prominently in many definitions of disaster and the built environment is designed and constructed by humans to serve their needs. With a human-centered approach, the decision-making agent becomes a critical consideration. This article discusses and illustrates the need for alignment of decision-making agents, time, and space for interdisciplinary research on hurricanes, particularly evacuation and the immediate aftermath. We specifically consider the fields of sociobehavioral science, transportation engineering, power systems engineering, and decision support systems in this context. These disciplines have historically adopted different decision-making agents, ranging from individuals to households to utilities and government agencies. The fields largely converged to the local level for studies' spatial scales, with some extensions based on the physical construction and operation of some systems. Greater discrepancy across the fields is found in the frequency of data collection, which ranges from one time (e.g., surveys) to continuous monitoring systems (e.g., sensors). Resolving these differences is important for the success of interdisciplinary teams in protective-action-related disaster research.
在灾害和灾难背景下,以人为本的方法对于跨学科研究很有前景,因为在许多灾害定义中,人类和社区都占据显著地位,而且建筑环境是由人类设计和建造以满足其需求的。采用以人为本的方法时,决策主体成为关键考量因素。本文讨论并阐明了在关于飓风的跨学科研究中,尤其是疏散及灾后即刻情况的研究中,决策主体、时间和空间保持一致的必要性。在此背景下,我们特别考虑社会行为科学、交通工程、电力系统工程和决策支持系统等领域。这些学科历来采用不同的决策主体,从个人到家庭,再到公用事业公司和政府机构。在研究的空间尺度方面,这些领域在很大程度上汇聚到了地方层面,不过基于某些系统的物理建设和运行情况也有一些拓展。各领域在数据收集频率方面存在更大差异,从一次性(如调查)到连续监测系统(如传感器)不等。解决这些差异对于跨学科团队在与保护行动相关的灾害研究中取得成功至关重要。