Volume 22, Issue 2 (IJIEPR 2011)                   IJIEPR 2011, 22(2): 83-90 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Nosoohi I, Shetab-Boushehri S N. A Conceptual Methodology for Transportation Projects Selection. IJIEPR. 2011; 22 (2) :83-90
URL: http://ijiepr.iust.ac.ir/article-1-285-en.html
1- PhD student, Department of industrial engineering, Isfahan University of Technology (IUT)
2- Assistant Professor, Department of industrial engineering, Isfahan University of Technology (IUT), , shetab@cc.iut.ac.ir
Abstract:   (4759 Views)

  Selection of appropriate infrastructure transportation projects such as highways, plays an important role in promotion of transportation systems. Usually in evaluation of transportation projects, because of lack of information or due to long time and high expenditures needed for gathering information, different effective factors are ignored. Thus, in this research, regarding multi criteria nature of transportation projects selection and using fuzzy logic, an appropriate conceptual framework for ranking and selecting transportation projects is proposed. Also, unlike the previous researches, we've applied a fuzzy inference system (FIS) to account value of each project with respect to each criterion, in the proposed methodology. The FIS helps us to set rule-based systems for paying attention to expert's experience and professional knowledge in decision making. The proposed methodology is explained in detail through an applicable example. We've considered most common criteria including effect of transportation project on traffic flow, economical growth and environment beside budget constraint, in the descriptive example.

Full-Text [PDF 256 kb]   (1925 Downloads)    
Subject: Other Related Subject
Received: 2011/07/19

Add your comments about this article : Your username or Email:

Send email to the article author

© 2018 All Rights Reserved | International Journal of Industrial Engineering & Production Research

Designed & Developed by : Yektaweb