Infrastructure Engineering - Research Publications
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ItemThe Feasibility of a BIM-Driven Approach to Support Building Subdivision Workflows-Case Study of Victoria, Australia(MDPI, 2019-11)Cities are facing dramatic challenges due to population growth and the massive development of high-rises and complex structures, both above and below the ground surface. Decision-makers require access to an efficient land and property information system, which is digital, three-dimensional (3D), spatially accurate, and dynamic containing interests in land (rights, restrictions and responsibilities—RRRs) to manage the legal and physical complexities of urban environments. However, at present, building subdivision workflows only support the two-dimensional (2D) building subdivision plans in PDF or image formats. These workflows result in a number of issues, such as the plan preparation being complex, the examination process being labor intensive and requiring technical expertise, information not being easily reusable by all subdivision stakeholders, queries, analyses, and decision-making being inefficient, and the RRRs interpretation being difficult. The aim of this research is to explore the potential of using Building Information Modelling (BIM) and its open standards to support the building subdivision workflows. The research that is presented in this paper proposes a BIM-driven building subdivision workflow, evaluated through a case study in the state of Victoria, Australia. The results of the study confirmed that the proposed workflow could provide a feasible integrated mechanism for stakeholders to share, document, visualize, analyze, interpret, and reuse 3D digital cadastral data over the lifespan of a building subdivision project.
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ItemUtilizing a Building Information Modelling Environment to Communicate the Legal Ownership of Internet of Things-Generated Data in Multi-Owned Buildings(Multidisciplinary Digital Publishing Institute ( M D P I AG), 2019-11-01)In multi-owned buildings, a community of residents live in their private properties while they use and share communal spaces and facilities. Proper management of multi-owned buildings is underpinned by rules related to health, safety, and security of the residents and visitors. Utilizing Internet of Things (IoT) devices to collect information about the livable space has become a significant trend since the introduction of first smart home appliances back in 2000. The question about who owns the IoT generated data and under what terms it can be shared with others is still unclear. IoT devices, such as security camera and occupancy sensors, can provide safety for their owners, while these devices may capture private data from the neighborhood. In fact, the residents are sometimes not aware of regulations that can prevent them from installing and collecting data from shared spaces that could breach other individuals’ privacy. On the other hand, Building Information Modelling (BIM) provides a rich 3D digital data environment to manage the physical, functional, and ownership aspects of buildings over their entire lifecycle. This study aims to propose a methodology to utilize BIM for defining the legal ownership of the IoT generated data. A case study has been used to discuss key challenges related to the ownership of IoT data in a multi-owned building. This study confirmed that BIM environment can facilitate the understanding of legal ownership of IoT datasets and supports the interpretation of who has the entitlement to use the IoT datasets in multi-owned buildings
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ItemQuerying 3D Cadastral Information from BIM Models(MDPI, 2019-08-01)There has been significant research on the intersection of 3D cadastre and building information modelling (BIM) over the recent years. BIM provides a multidimensional environment for capturing, curating and communicating the physical and functional aspects during a building’s lifecycle. A BIM-based solution for 3D cadastre provides a rich repository of legal and physical datasets in a common environment. The knowledge encapsulated inside a cadastral BIM model should be tapped to unlock the value of 3D cadastral information. Therefore, this article aims to develop BIM-based queries for interrogating questions about the legal ownership of properties inside multistorey buildings. These queries include identifying legal spaces that belong to a private or common property; querying physical elements that bound a legal space; and finding legal spaces that are adjacent to each other at a specific building element
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ItemCross-Domain Building Models-A Step towards Interoperability(MDPI, 2018-09)Buildings have a multifunctional character, which makes it hard to define just one model for all their diverse functions. As these diverse functions are addressed by actors of different perspectives and domain backgrounds, the possibility to exchange available building information would be desirable. Two main models for the creation of building information are Industry Foundation Classes/Building Information Modelling (IFC/BIM) and City Geography Markup Language (CityGML). As the importance of information interchange has been recognized, several authors have tried to develop intermediate models for the information exchange between IFC/BIM and CityGML, e.g., the Unified Building Model (UBM), the BIM Oriented Indoor data Model (BO-IDM), the Indoor Emergency Spatial Model (IESM) and the BIM-GIS integration model for Flood Damage Assessment (FDA model). Nevertheless, all these models have been created with a certain use in mind. Our focus in this article is to identify common elements amongst these proposed models and to combine them into one “core model” that is as simple as possible, while simultaneously containing all important elements. Furthermore, this base model extracted from proposed intermediate models can then be expanded to serve specific use requirements, while still being exchangeable. To show this cross-domain character of the core model, we validated the resulting model with two cases of use (production environment/maintenance and 3D digital cadaster).
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ItemAn LADM-based Approach for Developing and Implementing a National 3D Cadastre – A Case Study of Malaysia(FIG (International Federation of Surveyors), 2018)With the growing dominance of multi-storey buildings and other infrastructures, 2D-based cadastral systems are facing new challenges in recording, managing and visualising the spatial extent of vertically stratified cadastral spaces. In Malaysia, surveying and cadastral measurements are currently stored in the National Digital Cadastral Data Base (NDCDB), which is a 2D-based database in the form of planimetric coordinates (X, Y). However, in reality, cadastral objects are three dimensional and 2D-based approaches provide a fragmented view of these 3D spatial objects. Another challenge is that multiple pages of 2D drawings, which are used to show all the spaces of multi-storey buildings and surroundings, imposes a significant amount of cognitive effort for inexpert stakeholders who cannot easily understand the accurate location of cadastral boundaries obscured within physical structures. Therefore, the methods of data collection, calculation and adjustment of existing survey and processing data needs to be up raded for the purposes of implementing 3D cadastral database and producing 3D digital certified plans.
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ItemConnecting LADM and IFC Standards–Pathways towards an Integrated Legal-Physical Model(FIG (International Federation of Surveyors), 2018)
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ItemA New Method for Integrating 3D spatial information about vertically stratified ownership properties into the property map base(FIG (International Federation of Surveyors), 2018)
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ItemHarnessing BIM for 3D digital management of stratified ownership rights in buildings.(International Federation of Surveyors - available at http://www.fig.net …, 2016)
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ItemComparing Three Types of BIM-based Models for Managing 3D Ownership Interests in Multi-level Buildings(International Federation of Surveyors (FIG) - available at http://www.gdmc …, 2016)
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Item3D Property Ownership Map Base for Smart Urban Land Administration(FIG (International Federation of Surveyors), 2017)