Developing Safety Project District Selection Indicators to Reduce Complex Accidents

This study aims to develop indicators for selecting safety project districts based on a safety index diagnosis. Safety project districts provide a method of space-level safety management that must be distinct from other similar systems for sustainability. Using brainstorming and AHP, the study recommends the following. First, an approach is proposed to clearly differentiate these districts from similar existing systems, enhancing the efficiency of the project by reducing and addressing complex accidents. Second, six differentiation measures are proposed, focusing on autonomy, effectiveness, and connectivity. Third, the selection index consists of eight detailed selection indicators for four items related to differentiation, analyzed based on the importance of each indicator. This framework will make it possible to designate districts vulnerable to complex accidents as safe business districts, thereby reducing risks.

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Publication Details

Journal
Korean Society of Hazard Mitigation
Published
2024-08-30
DOI
https://doi.org/10.9798/kosham.2024.24.4.45
Primary Topic
Risk and Safety Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Developing Safety Project District Selection Indicators to Reduce Complex Accidents

Jin-Dong Shin, Yuntae Kim, Hyangee Lee, Jeehyun Sohn et al.
Korean Society of Hazard Mitigation
Risk and Safety Analysis
article

Developing Safety Project District Selection Indicators to Reduce Complex Accidents

Jin-Dong Shin, Yuntae Kim, Hyangee Lee, Jeehyun Sohn, N. Yoo
article en

Abstract

This study aims to develop indicators for selecting safety project districts based on a safety index diagnosis. Safety project districts provide a method of space-level safety management that must be distinct from other similar systems for sustainability. Using brainstorming and AHP, the study recommends the following. First, an approach is proposed to clearly differentiate these districts from similar existing systems, enhancing the efficiency of the project by reducing and addressing complex accidents. Second, six differentiation measures are proposed, focusing on autonomy, effectiveness, and connectivity. Third, the selection index consists of eight detailed selection indicators for four items related to differentiation, analyzed based on the importance of each indicator. This framework will make it possible to designate districts vulnerable to complex accidents as safe business districts, thereby reducing risks.

Korean Society of Hazard MitigationVol. 24(4)
National Disaster Management Research Institute (KR)
Openalex Percentile: Top 86%
Risk and Safety Analysis
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