Subway Station Diagnosis Index Condition Assessment Model

Semaan, Nabil; Zayed, Tarek

doi:10.1061/(asce)1076-0342(2009)15:3(222)

Cited by 15 publications

(9 citation statements)

References 9 publications

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“…The Canadian Urban Transit Association (CUTA) estimated that 140 Billion CAD is required for maintaining, rehabilitating, and replacing the subway infrastructure between 2012 and 2016 (CUTA 2012). According to Semaan and Zayed (2009), the problem faced by STM and most transit authorities is the lack of proper rehabilitation plans for subway stations. A proper rehabilitation plan should include setting priorities for rehabilitation, budget allocation, investment planning, and financing.…”

Section: Problem Statementmentioning

confidence: 99%

“…Abu-Mallouh (1999) evaluated a number of subway systems and concluded that most stations evaluated were more than 95 years old and in need of rehabilitation proportionate to their ages. In an effort to assess the stations conditions, Semaan (2006) developed the Subway Station Diagnosis Index Model to diagnose specific subway stations and assess their conditions using an index (0-10).…”

Section: Problem Statementmentioning

confidence: 99%

“…Model developed by Semaan (2009). The SSDI is a condition assessment model that diagnoses specific subway stations to assess their conditions using an index (0-10).…”

Section: The Subway Station Diagnosis Index (Ssdi) Modelmentioning

confidence: 99%

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Risk-Based Asset Management Framework for Subway Systems

Abouhamad

Zayed

2019

J. Constr. Eng. Manage.

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Subway systems play a vital role connecting thousands of people to different destinations on a daily basis. The Canadian infrastructure report card recommended encouraging infrastructure owners to establish asset-management plans based on rates of deterioration and community service levels. Moreover, the 2013 report card for America's infrastructure assigned a grade D to transit systems indicating they are in a poor condition with strong risk of failure. A possible solution proposed by the 2013 report card is adopting a comprehensive asset management system to maximize investments in light of the fund scarcity dilemma. The main objective of this research is to develop a risk-based asset management framework for subway networks. The framework works along three interrelated sub-models followed by two main models. A generic subway hierarchy is proposed and risk is assessed using three sub-models; probability of failure, consequences of failure and criticality index. Probability of failure is predicted for different structural elements using inspection reports and Weibull reliability function. Consequences of failure are assessed based on seven criteria along financial, social, and, operational perspectives. A criticality index is introduced to the classical risk equation to assess the functional importance of a station in its location using seven attributes along three main criteria. The Fuzzy Analytical Network Process is employed to analyze experts' feedback used in the consequences of failure and criticality sub-models. This insures incorporating interdependency between criteria and fuzziness of the analysis.

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Section: Problem Statementmentioning

confidence: 99%

Section: Problem Statementmentioning

confidence: 99%

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Risk-Based Asset Management Framework for Subway Systems

Abouhamad

Zayed

2019

J. Constr. Eng. Manage.

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“…Lastly, decision makers linearly combine the various priority matrices to achieve the final rank for each factor. Semaan (2006)…”

Section: Combining Priority Weightsmentioning

confidence: 99%

Productivity Analysis of Horizontal Directional Drilling

Adel¹,

Zayed²

2009

Pipelines 2009

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“…However, through consulting the literature on subway stations, no effort was documented to measure the criticality of metro stations or to classify stations other than on a structural basis. Abu-Mallouh (1999), Farran (2009), Semaan (2009), and, Semaan (2011 did considerable efforts in assessing the stations' condition through diagnostic models such as condition assessment and deterioration models. Nevertheless, all these models studied the system from a structural point of view only without considering the functional aspects of the system.…”

Section: Introductionmentioning

confidence: 99%

Criticality-Based Model for Rehabilitating Subway Stations

Abouhamad¹,

Zayed²

2013

Proceedings of the 30th International Symposium on Automation and Robotics in Construction and Mining (ISARC 2013): Building Th

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According to the Canadian Urban Transit Association (CUTA), 140 Billion CAD is required to maintain, rehabilitate, and replace subway infrastructure between 2010 and 2014. The current practice adopted by transit authorities for prioritizing subway stations for rehabilitation is based on the station structural needs. While this classification is reflective of station condition, other factors, such as station size, location and passenger capacity, play an important role. The criticality of a station is an index that represents the functional importance of a station depending upon a set of identified factors. The system criticality is based on several attributes, such as station location, size, and nature of use. This paper presents a novel method of clustering subway stations for rehabilitation priority based on their criticality level. The different stations in a subway network are rated according to their relative importance against predefined attributes. The weights and scores of the attributes are computed with the help of experts and current subway network data. The analysis is done using the Fuzzy Analytic Network Process (FANP) to accommodate the subjectivity of human judgment as being expressed in natural language which entails 'fuzziness' in real-life problems and account for the interdependency between the selected attributes. The output of the model is a criticality based clustering of subway stations. The proposed framework helps authorities prioritize stations for rehabilitation and highlight stations with more criticality for a more robust asset analysis.

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Subway Station Diagnosis Index Condition Assessment Model

Cited by 15 publications

References 9 publications

Risk-Based Asset Management Framework for Subway Systems

Risk-Based Asset Management Framework for Subway Systems

Productivity Analysis of Horizontal Directional Drilling

Criticality-Based Model for Rehabilitating Subway Stations

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