使用STAMP控制结构对坦桑尼亚道路运输系统进行利益相关者分析。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-09-01 Epub Date: 2023-12-12 DOI:10.1080/00140139.2023.2289861
Daudi Katopola, Fredirick Mashili, Henna Hasson, Marie Hasselberg
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引用次数: 0

摘要

一个国家道路运输系统的发展方式影响着安全。本研究旨在确定道路运输利益相关者的角色和关系,并探索对影响道路安全的控制和反馈机制以及相关差距的理解。采用系统理论事故模型和过程(STAMP)模型对文献和访谈数据(n = 30)进行分析。与会者强调了利益攸关方在道路运输系统业务方面任务重叠的障碍,并强调了道路安全联盟作为系统推动者的作用。此外,国际机构撤销某些控制可能会增加系统的脆弱性。最重要的是,关键的控制和反馈差距表明会增加道路运输系统内的安全风险。调查结果强调了道路运输系统的复杂性,并增加了关于系统道路安全方法的讨论。
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A stakeholder analysis of the road transport system in Tanzania using a STAMP control structure.

The way the road transport system is developed in a country affects safety. This study aims to identify the roles and relationships of road transport stakeholders and to explore the understanding of control and feedback mechanisms and associated gaps influencing road safety. A System-Theoretic Accident Model and Processes (STAMP) model was applied to document and interview data (n = 30). Participants emphasised the hindrance of overlapping mandates among stakeholders on the road transport system's operations and underlined the roles of coalitions for road safety as system enablers. Further, the withdrawal of some controls by international agencies can increase system vulnerability. Most importantly, critical control and feedback gaps were shown to increase risks for safety within the road transport system. The findings underscore the complexity of the road transport system and add to the discussion on a system's approach to road safety.Practitioner summary: Using a STAMP methodology, we extensively studied the road transport system in Tanzania. Road transport stakeholders were identified through the review of documents, interviews were conducted, and the main findings were discussed. Control and feedback mechanisms and associated gaps were critically presented, recommendations were proposed, and policy implications were suggested.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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