9791221502893_42.pdf

Complex infrastructures such as railway networks face increasing challenges related to resource allocation, external events, constraints, and demands. Therefore, it is crucial to optimize the Asset Management (AM) phase to ensure the value and functionality of the assets. The integration of Building...

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Γλώσσα:English
Έκδοση: Firenze University Press 2024
Διαθέσιμο Online:https://books.fupress.com/doi/capitoli/979-12-215-0289-3_42
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spelling oapen-20.500.12657-890902024-04-03T02:23:24Z Chapter Towards a Framework for Railway Network Assets Management Based on BIM/GIS Integration Mangia, Mattia Di Biccari, Carla Roupé, Mattias Building Information Modeling BIM Geographic Information Systems GIS BIM/GIS integration Asset Management Railway thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization Complex infrastructures such as railway networks face increasing challenges related to resource allocation, external events, constraints, and demands. Therefore, it is crucial to optimize the Asset Management (AM) phase to ensure the value and functionality of the assets. The integration of Building Information Modelling (BIM) and Geographic Information Systems (GIS) can support this phase, but it can only yield benefits with a comprehensive approach that considers and addresses the specific needs and resources of the assets and their AM organization. The main benefits include improved data management, manipulation, information visualization and optimized resource allocation. This study describes an intermediate step towards developing a BIM/GIS integration framework for AM that can guide both researchers and practitioners. The framework aims to bridge theory and practice by incorporating insights from literature reviews and case studies. Its main objectives are to provide a comprehensive multi-stakeholder view and methods for effectively integrating BIM and GIS in this context. To develop the framework, the study employed focus groups, interviews, and practical BIM/GIS tests, which provided insights reported in this article. Furthermore, the study provides research directions for effective BIM/GIS integration in infrastructure AM 2024-04-02T15:46:11Z 2024-04-02T15:46:11Z 2023 chapter ONIX_20240402_9791221502893_59 2704-5846 9791221502893 https://library.oapen.org/handle/20.500.12657/89090 eng Proceedings e report application/pdf n/a 9791221502893_42.pdf https://books.fupress.com/doi/capitoli/979-12-215-0289-3_42 Firenze University Press 10.36253/979-12-215-0289-3.42 10.36253/979-12-215-0289-3.42 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221502893 137 12 Florence open access
institution OAPEN
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language English
description Complex infrastructures such as railway networks face increasing challenges related to resource allocation, external events, constraints, and demands. Therefore, it is crucial to optimize the Asset Management (AM) phase to ensure the value and functionality of the assets. The integration of Building Information Modelling (BIM) and Geographic Information Systems (GIS) can support this phase, but it can only yield benefits with a comprehensive approach that considers and addresses the specific needs and resources of the assets and their AM organization. The main benefits include improved data management, manipulation, information visualization and optimized resource allocation. This study describes an intermediate step towards developing a BIM/GIS integration framework for AM that can guide both researchers and practitioners. The framework aims to bridge theory and practice by incorporating insights from literature reviews and case studies. Its main objectives are to provide a comprehensive multi-stakeholder view and methods for effectively integrating BIM and GIS in this context. To develop the framework, the study employed focus groups, interviews, and practical BIM/GIS tests, which provided insights reported in this article. Furthermore, the study provides research directions for effective BIM/GIS integration in infrastructure AM
title 9791221502893_42.pdf
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title_full 9791221502893_42.pdf
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title_full_unstemmed 9791221502893_42.pdf
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publisher Firenze University Press
publishDate 2024
url https://books.fupress.com/doi/capitoli/979-12-215-0289-3_42
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