Development of Cloud-Based Support Tools for Effective Evacuation Focusing on Time-Phase from Pre-Registration to Post-Incident Response to Improve Literacy for Disaster Resilience

IF 0.7 Q4 GEOSCIENCES, MULTIDISCIPLINARY
M. Inoguchi
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引用次数: 0

Abstract

In recent years, disasters have become more frequent and more severe in Japan. To ensure their safety, it is essential to ensure that all impacted individuals evacuate. Since the Great East Japan Earthquake, the formulation of district evacuation plans and the My-Timeline have been promoted, and their importance has been recognized. In addition, information and communication technology (ICT) has rapidly developed in recent years and is being integrated into the field of disaster management. In this context, digital transformation (DX) has become essential. Given the need to enhance disaster preparedness, via DX, this study designs and develops a digital support tool using ICT to support the formulation of evacuation plans and enhance capacity building for disaster prevention among individual users. In particular, it develops functions that allow users to easily formulate a plan based on their pre-registration information and familiarize them with hazard risks. It also helps them envision the potential damage they will incur and learn the impact of their personal attribute information on their choice of evacuation action when formulating an evacuation plan. These functions were implemented as a cloud service and evaluated by users. The evaluation confirmed that the tool contributed to raising users’ awareness.
开发基于云的有效疏散支持工具,关注从事前登记到事后响应的时间阶段,提高抗灾能力素养
近年来,日本的灾害越来越频繁,也越来越严重。为了确保受灾者的安全,必须确保所有受灾者撤离。自东日本大地震以来,地区避难计划和 "我的时间表 "的制定得到了推进,其重要性也得到了认可。此外,近年来信息和通信技术(ICT)迅速发展,并正在融入灾害管理领域。在这种情况下,数字化转型(DX)变得至关重要。考虑到通过 DX 加强备灾的必要性,本研究设计并开发了一种利用信息和通信技术的数字支持工具,以支持制定疏散计划并加强个人用户的防灾能力建设。特别是,它开发的功能可以让用户根据预先登记的信息轻松制定计划,并熟悉灾害风险。在制定疏散计划时,它还能帮助用户设想自己可能遭受的损失,并了解个人属性信息对其选择疏散行动的影响。这些功能已作为云服务实施,并由用户进行了评估。评估结果证实,该工具有助于提高用户的意识。
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来源期刊
Journal of Disaster Research
Journal of Disaster Research GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
1.60
自引率
37.50%
发文量
113
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