An ANP model for risk response assessment in large scale bridge projects

IF 1.7 3区工程技术 Q3 ENGINEERING, CIVIL

Civil Engineering and Environmental Systems Pub Date : 2020-01-26 DOI:10.1080/10286608.2019.1702030

Fikri Yücelgazi, I. Yitmen

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引用次数: 7

Abstract

ABSTRACT Large-scale bridge projects (LSBPs) have emerged due to the gradually increasing transportation needs of the connections between isolated regions. In planning, construction or completion of today’s LSBPs, responses are applied to risks arising in areas such as financial, design, environmental and managerial. The main objective of this study is to prioritise the risk responses from the contractors’ point of view used in LSBPs in Europe and the Middle East by using the analytical network process (ANP). The priorities obtained separately for Europe and the Middle East were compared between each other. The results display that Europe and the Middle East include both common and different risk responses. Two case studies, one in each region, have been conducted to further support the priority values acquired in this study. The priorities and responses obtained in this study can be used as standard risk response list for the prevention or elimination of risks during the planning, construction or completion phases of projects to be implemented in the field of LSBPs in various countries. Lastly, the priorities obtained in this study could be a mirror to detect or juxtapose changes in future studies in the same field.

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大型桥梁工程风险响应评价的ANP模型

由于孤立地区之间的交通需求日益增加，大型桥梁项目(lbp)应运而生。在规划、建设或完成今天的lbp时，应对措施适用于财务、设计、环境和管理等领域出现的风险。本研究的主要目的是通过使用分析网络过程(ANP)，从欧洲和中东lbp使用的承包商的角度确定风险响应的优先级。对欧洲和中东分别获得的优先事项进行了相互比较。结果表明，欧洲和中东地区既有共同的风险反应，也有不同的风险反应。已经进行了两个案例研究，每个区域一个，以进一步支持本研究中获得的优先价值。本研究得到的优先级和应对措施可以作为标准的风险应对清单，在各国lbp领域实施项目的规划、建设或完工阶段预防或消除风险。最后，本研究中获得的优先级可以作为一面镜子，用于检测或并列显示同一领域未来研究的变化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Civil Engineering and Environmental Systems 工程技术-工程：土木

CiteScore

3.30

自引率

16.70%

发文量

审稿时长

>12 weeks

期刊介绍： Civil Engineering and Environmental Systems is devoted to the advancement of systems thinking and systems techniques throughout systems engineering, environmental engineering decision-making, and engineering management. We do this by publishing the practical applications and developments of "hard" and "soft" systems techniques and thinking. Submissions that allow for better analysis of civil engineering and environmental systems might look at: -Civil Engineering optimization -Risk assessment in engineering -Civil engineering decision analysis -System identification in engineering -Civil engineering numerical simulation -Uncertainty modelling in engineering -Qualitative modelling of complex engineering systems