Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/1650
Title: An Assessment Model for Structural Performance of Subway Systems
Authors: Semaan, Nabil 
Zayed, Tarek
Affiliations: Department of Civil and Environmental Engineering 
Keywords: Structures & Structural Stability
Analytical techniques
Assessment
Defects
Deterioration
Infrastructure
Sensitivity analysis
Transportation networks
Subjects: Mathematical models
Structural failures
Issue Date: 2014
Part of: International journal of science environment and technology
Volume: 3
Issue: 6
Start page: 1943
End page: 1968
Abstract: 
The transit federal administration estimated in 2009 that 15.8 billion USD is needed annually to maintain and 21.6 billion USD in order to improve the US transit network to reach satisfactory conditions. This paper focuses on a new developed model that assesses the structural performance assessment of the subway systems elements. This model (i) identifies the hierarchy for different elements, (ii) assesses the physical condition and functional performance, and (iii) develops an integrated performance index. The model uses the analytic hierarchy process and multi-attribute utility theory mathematical tools in order to evaluate the performance factors weights and indices respectively. Data are collected from the Société de Transport de Montréal inspection reports and through questionnaires. The developed model is implemented to several systems within the STM subway network. Results show that some elements have deteriorated by 5% in 40 years while others by 5% in 14 years. This research is relevant to industry practitioners and researchers since it develops a structural performance assessment model for subway systems.
URI: https://scholarhub.balamand.edu.lb/handle/uob/1650
Open URL: Link to full text
Type: Journal Article
Appears in Collections:Department of Civil and Environmental Engineering

Show full item record

Record view(s)

1
checked on May 17, 2021

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.