Identification of Operation Influencing Factors for Transportation BOT-Using Fuzzy Theory
碩士 === 國立臺灣科技大學 === 營建工程系 === 87 === The life cycle of BOT (Build-Operate-Transfer) projects can be classified into five phases: (1) planning and bidding, (2) contracting, (3) build, (4) operation, and (5) transfer. The factors and risks that affect the project operation efficiency are involved in...
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ndltd-TW-087NTUST5120302016-02-01T04:12:44Z http://ndltd.ncl.edu.tw/handle/81454766053778586937 Identification of Operation Influencing Factors for Transportation BOT-Using Fuzzy Theory 應用模糊理論確認交通建設BOT計畫特許公司營運影響因素之研究 YI-JEN CHEN 陳毅任 碩士 國立臺灣科技大學 營建工程系 87 The life cycle of BOT (Build-Operate-Transfer) projects can be classified into five phases: (1) planning and bidding, (2) contracting, (3) build, (4) operation, and (5) transfer. The factors and risks that affect the project operation efficiency are involved in each BOT project phase. Operation efficiency and rate of return for the investment are the major concerns for the concession company. This study identified the influencing factors that have to be considered in different phases for the BOT project of transportation. Thus, the investors can conduct a feasibility analysis based on the results and identify if the project is beneficial and feasible. Identifying the influencing factors of the BOT project operation efficiency requires experts’ knowledge. The process of analysis conducted by these experts usually contains some sort of ambiguousness and uncertainties. Previous studies have demonstrated the use of questionnaires with deterministic value to quantify the ambiguousness associated with the identification of the risk factors for the BOT project. This study presents a Fuzzy Delphi Method based on fuzzy sets theory. The proposed method incorporates a questionnaire design and analytical technique to compile and identify the influencing factors. Moreover, the relative weight of the influencing factors is calculated using the Fuzzy AHP method. Cross analysis between the three surveying groups, namely government, industry, and financial experts are also conducted to identify the differences of any two groups. The conclusions drawn from this study can provide the government as a reference to solve the possible problems in advance and develop a preferential offer for the investors. Also, the concession companies can apply the results for self-evaluation if the BOT project is feasible. Nevertheless, the influencing factors can be used by the concession company as control points for executing the BOT project. Thus, the goals of the BOT project can be achieved on the basis of both participants’ benefit. Min-Yuan Cheng 鄭明淵 1999 學位論文 ; thesis 122 zh-TW |
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碩士 === 國立臺灣科技大學 === 營建工程系 === 87 === The life cycle of BOT (Build-Operate-Transfer) projects can be classified into five phases: (1) planning and bidding, (2) contracting, (3) build, (4) operation, and (5) transfer. The factors and risks that affect the project operation efficiency are involved in each BOT project phase. Operation efficiency and rate of return for the investment are the major concerns for the concession company. This study identified the influencing factors that have to be considered in different phases for the BOT project of transportation. Thus, the investors can conduct a feasibility analysis based on the results and identify if the project is beneficial and feasible.
Identifying the influencing factors of the BOT project operation efficiency requires experts’ knowledge. The process of analysis conducted by these experts usually contains some sort of ambiguousness and uncertainties. Previous studies have demonstrated the use of questionnaires with deterministic value to quantify the ambiguousness associated with the identification of the risk factors for the BOT project. This study presents a Fuzzy Delphi Method based on fuzzy sets theory. The proposed method incorporates a questionnaire design and analytical technique to compile and identify the influencing factors. Moreover, the relative weight of the influencing factors is calculated using the Fuzzy AHP method. Cross analysis between the three surveying groups, namely government, industry, and financial experts are also conducted to identify the differences of any two groups.
The conclusions drawn from this study can provide the government as a reference to solve the possible problems in advance and develop a preferential offer for the investors. Also, the concession companies can apply the results for self-evaluation if the BOT project is feasible. Nevertheless, the influencing factors can be used by the concession company as control points for executing the BOT project. Thus, the goals of the BOT project can be achieved on the basis of both participants’ benefit.
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author2 |
Min-Yuan Cheng |
author_facet |
Min-Yuan Cheng YI-JEN CHEN 陳毅任 |
author |
YI-JEN CHEN 陳毅任 |
spellingShingle |
YI-JEN CHEN 陳毅任 Identification of Operation Influencing Factors for Transportation BOT-Using Fuzzy Theory |
author_sort |
YI-JEN CHEN |
title |
Identification of Operation Influencing Factors for Transportation BOT-Using Fuzzy Theory |
title_short |
Identification of Operation Influencing Factors for Transportation BOT-Using Fuzzy Theory |
title_full |
Identification of Operation Influencing Factors for Transportation BOT-Using Fuzzy Theory |
title_fullStr |
Identification of Operation Influencing Factors for Transportation BOT-Using Fuzzy Theory |
title_full_unstemmed |
Identification of Operation Influencing Factors for Transportation BOT-Using Fuzzy Theory |
title_sort |
identification of operation influencing factors for transportation bot-using fuzzy theory |
publishDate |
1999 |
url |
http://ndltd.ncl.edu.tw/handle/81454766053778586937 |
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