Year-end Sale % OFF 
Abstract
Abstract. Modern cities will have a catalytic role in regulating global economic growth and development, highlighting their role as centers of economic activity. With urbanisation being a consequence of that, the built environment is pressured to withstand the rapid increase in demand of buildings as well as safe, resilient and sustainable transportation infrastructure. Transportation Infrastructure has a unique characteristic: it is interconnected and thus, it is essential for the stakeholders to be able to capture, analyse and visualise these interlinked relationships efficiently and effectively. This requirement is addressed by an Asset Information Management System (AIMS) which enables the capture of such information from the early stages of a transport infrastructure construction project. Building Information Modelling (BIM) and Geographic Information Science/Systems (GIS) are two domains which facilitate the authoring, management and exchange of asset information by providing the location underpinning, both in the short term and through the very long lifespan of the infrastructure. These systems are not interoperable by nature, with extensive Extract/Transform/Load procedures required when developing an integrated location-based Asset Management system, with consequent loss of information. The purpose of this paper is to provide an insight regarding the information lifecycle during Design and Construction on a Highways Project, focusing on identifying the stages in which loss of information can impact decision-making during operational Asset Management: (i) 3D Model to IFC, (ii) IFC to AIM and (iii) IFC to 3DGIS for AIM. The discussion highlights the significance of custom property sets and classification systems to bridge the different data structures as well as the power of 3D in visualizing Asset Information, with future work focusing on the potential of early BIM-GIS integration for operational AM.
Highlights
Transportation Infrastructure has a vital role in the social prosperity, economic growth and environmental sustainability of a country (Liu et al, 2019), with the transportation network often being one of the largest and most valuable public infrastructure assets of a country (Sinha et al, 2017; Shah et al, 2017)
Location-enabled data is of fundamental importance to Infrastructure Asset Management, to address issues relating to condition assessment, maintenance scheduling, health and safety, and strategic decision making (Garramone et al, 2020) and to enable democratization of information via the power of 3D Visualisation (Liu et al, 2021)
This paper investigates the information loss when transitioning from construction-driven Building Information Modelling (BIM) to a 2D/3D Geographic Information Science/Systems (GIS) underpinned Asset Information Model (AIM), extending ongoing work with regards to capturing data requirements and understanding the potential of GeoBIM during Operation & Maintenance for Transportation Infrastructure, in particular Highways and Rail
Summary
Transportation Infrastructure has a vital role in the social prosperity, economic growth and environmental sustainability of a country (Liu et al, 2019), with the transportation network often being one of the largest and most valuable public infrastructure assets of a country (Sinha et al, 2017; Shah et al, 2017). National and local authorities aim to address these requirements under onerous financial requirements with the goal being to achieve maximized value from their assets with less resources (Shah et al, 2017). Location-enabled data is of fundamental importance to Infrastructure Asset Management, to address issues relating to condition assessment, maintenance scheduling, health and safety, and strategic decision making (Garramone et al, 2020) and to enable democratization of information via the power of 3D Visualisation (Liu et al, 2021)
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
