Identifying and ranking the factors affecting the pricing of BOT projects for the construction of suburban pedestrian bridges, using Fuzzy Delphi-BWM

Document Type : Research Paper

Authors

1 Department of Management, Islamic Azad University North Tehran Branch, Tehran, Iran

2 Department of Industrial Engineering, Mehralborz University, Tehran, Iran

3 Department of Industrial Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran.

4 uni

Abstract

Introduction and purpose: BOT projects for the construction of suburban pedestrian bridges are very important as one of the appropriate methods for transportation infrastructure development in cities. Considering the economic and financial effects on these projects, it is vital to know and analyze the factors affecting the pricing of these projects. The purpose of this article is to identify and rank the factors affecting the pricing of BOT projects for the construction of suburban pedestrian bridges.
Method: The research approach is quantitative and practical. The statistical population includes the managers and experts of the Road Maintenance & Transportation Organization and university professors specializing in this field. Fuzzy Delphi method was used to identify factors and BWM was used to prioritize them.
Findings: By reviewing the literature, 40 factors were extracted from previous studies, and based on the fuzzy Delphi results, after three rounds of expert opinion polls, 31 factors affecting the pricing of BOT projects for the construction of suburban pedestrian bridges were identified and classified into five groups, then using BWM are rated in overall and their group.
Conclusion: The overall ranking showed that the most important factors are the costs of pedestrian bridge construction, maintenance and operation, and equipment and personnel. The ranking in groups also showed that the main factors were ranked as the factors related to costs, contract setting, project, government, and the private sector. These results can help decision makers in this field to make the best decisions in the pricing process of similar projects.
 
 

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