.png){kind=icon}
返回
Concessionaire Selection Model Based on Data Envelopment Analysis
.png){kind=icon}
PRE
AI
DOI：10.1061/(ASCE)ME.1943-5479.0000262.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The build-operate-transfer (BOT) project delivery approach is gaining popularity because it offers public employers the advantages of delivering vital infrastructure projects while minimizing the need to secure financing. However, one key challenge for BOT projects is concessionaire selection. Poor concessionaire selection may result in difficulties in execution, or even failures to deliver vital projects to the public. As a result, there is a need for an appropriate methodology to select the concessionaire that provides the best offer and has strong overall capabilities. The purpose of this paper is to propose a concessionaire selection model that is based on data envelopment analysis (DEA). The strengths of the proposed DEA model include its ability to incorporate dozens of subjective and objective criteria and to accommodate any number of considered concessionaires. Based on both extensive literature review and practitioners' input, the research identifies 22 concessionaire selection criteria. The proposed DEA model was practically illustrated based on a case that includes six competing concessionaires. (C) 2014 American Society of Civil Engineers.
Keyword:
Concessionaire
Build-operate-transfer (BOT)
Decision making
Data envelopment analysis
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
J
IF:
7
论文数:
3.1K
被引数:
6.8K
机构
引用论文
.png){kind=icon}
Alternative approach to credit scoring by DEA: Evaluating borrowers with respect to PFI projects
PREAI
分享收藏
分享收藏
查看更多内容