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    Reliable, Effective, and Sustainable Urban Railways: A Model for Optimal Planning and Asset Management

    Source: Journal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 006
    Author:
    Alireza Mohammadi
    ,
    Luis Amador-Jimenez
    ,
    Fuzhan Nasiri
    DOI: 10.1061/(ASCE)CO.1943-7862.0001839
    Publisher: ASCE
    Abstract: Urban railways play a critical role in the daily life of citizens. However, extensive deterioration of mostly aged systems complicates the management of this type of infrastructure in coping with increased demand and restricted upgrade and renewal budgets. The main objective of this research is to develop a comprehensive network-level decision-making model for managing urban railway systems to maintain the highest level of performance, reliability, and convenience in the movement of passengers in a metropolitan area. By considering ridership fluctuations and network expansion scenarios, the proposed model integrates the current and expected future usage rates into the decision-making process. The Montreal metro system was considered as a real-world case study. The results indicate that proactive maintenance scheduling can save up to 25% of the cumulative expenditure during a 20-year horizon while improving the overall performance of the system. Comparing the decisions proposed by the model and the government plan for this network presents an opportunity to understand current railway asset management practices. The proposed model is applicable to rail rapid transit (underground and surface), light rail transit, and suburban trains as well as bus rapid transit and guides maintenance, upgrade, and expansion of these systems, targeting improvements in their convenience, reliability, and ridership.
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      Reliable, Effective, and Sustainable Urban Railways: A Model for Optimal Planning and Asset Management

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4265204
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    contributor authorAlireza Mohammadi
    contributor authorLuis Amador-Jimenez
    contributor authorFuzhan Nasiri
    date accessioned2022-01-30T19:23:23Z
    date available2022-01-30T19:23:23Z
    date issued2020
    identifier other%28ASCE%29CO.1943-7862.0001839.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4265204
    description abstractUrban railways play a critical role in the daily life of citizens. However, extensive deterioration of mostly aged systems complicates the management of this type of infrastructure in coping with increased demand and restricted upgrade and renewal budgets. The main objective of this research is to develop a comprehensive network-level decision-making model for managing urban railway systems to maintain the highest level of performance, reliability, and convenience in the movement of passengers in a metropolitan area. By considering ridership fluctuations and network expansion scenarios, the proposed model integrates the current and expected future usage rates into the decision-making process. The Montreal metro system was considered as a real-world case study. The results indicate that proactive maintenance scheduling can save up to 25% of the cumulative expenditure during a 20-year horizon while improving the overall performance of the system. Comparing the decisions proposed by the model and the government plan for this network presents an opportunity to understand current railway asset management practices. The proposed model is applicable to rail rapid transit (underground and surface), light rail transit, and suburban trains as well as bus rapid transit and guides maintenance, upgrade, and expansion of these systems, targeting improvements in their convenience, reliability, and ridership.
    publisherASCE
    titleReliable, Effective, and Sustainable Urban Railways: A Model for Optimal Planning and Asset Management
    typeJournal Paper
    journal volume146
    journal issue6
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0001839
    page04020057
    treeJournal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 006
    contenttypeFulltext
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