斯里兰卡公路建设项目环境风险管理

IF 3.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Construction Innovation-England Pub Date : 2023-08-10 DOI:10.1108/ci-08-2022-0202
K.I.L. Abhayantha, B. Perera, H. Perera, R. Palliyaguru
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引用次数: 0

摘要

目的环境风险是公路建设项目的关键问题。负责急诊的主要订约方之一是承包商。因此,从承包商的角度研究如何控制hcp中的急诊室是至关重要的。本研究的目的是调查如何在斯里兰卡的HCP急诊室管理。设计/方法/方法采用定量研究方法,采用三轮德尔菲法。统计技术用于分析和验证急诊室、风险分配的各方,以及从经验数据收集中确定的风险管理措施。研究结果揭示了HCP的11种最重要的er。此外,斯里兰卡HCP中最显著的责任责任主要是承包商的责任。确定了24项最适当的风险应对措施;发现13项是可用于管理两种或两种以上风险的常见措施,而其余11项是针对特定风险的独特措施。独创性/价值总体而言,本研究确定了HCP中最显著的风险风险,各方之间的最佳风险分配以及每个显著风险风险处理策略和措施。此外,本研究还探讨了HCP急诊室管理的需求。
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Management of environmental risks in highway construction projects in Sri Lanka
Purpose Environmental risks (ERs) are critical to any highway construction project (HCP). One of the main contracting parties responsible for ERs is the contractor. Hence, it has been crucial to look into ways to control ERs in HCPs from the contractor’s perspective. This study aims to investigate how ERs can be managed in HCP in Sri Lanka. Design/methodology/approach A quantitative research approach with three rounds of Delphi was used. Statistical techniques were used to analyse and validate the ERs, the parties to whom the risks were to be allocated, and risk management measures identified from the empirical data collection. Findings The study reveals the 11 most significant ERs for HCP. Further, the most significant ERs in HCP were mainly found to be the responsibility of contractors in Sri Lanka. Twenty-four most appropriate risk response measures were determined; 13 were found to be common measures that could be used to manage two or more risks, while the remaining 11 were unique to specific risks. Originality/value Overall, this research determines the most significant ERs in HCP, the best risk allocation among the parties and appropriate risk-handling strategies and measures for each significant ERs. Additionally, the study addresses the demand for ERs management in HCP.
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来源期刊
Construction Innovation-England
Construction Innovation-England CONSTRUCTION & BUILDING TECHNOLOGY-
CiteScore
7.10
自引率
12.10%
发文量
71
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