Infrastructure Engineering - Research Publications
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ItemFormative and Summative Validation of Building Information Model-Based Cadastral Data(MDPI, 2021-08)Among 3D models, Building Information Models (BIM) can potentially support the integrated management of buildings’ physical and legal aspects in cadastres. However, there is not a systematic approach to author the cadastral information into the BIM models. Moreover, the common approaches for data validation only check the final cadastral output, and they ignore the data generation steps as potential avenues for validation. Therefore, this study aims to develop the criteria and standards to check the spatial consistency and integrity of BIM-based cadastral data in the process of generating the data. The paper utilises a case study approach as its methodology to investigate the requirements of generating a BIM-based cadastral model and identify the issues within the process. The results include a formative assessment (i.e., multistep validation approach during the data generation) alongside a summative assessment (i.e., one-step validation approach at the end of data generation). This study found the summative assessment alone insufficient for 3D cadastral data validation. The paper concludes that a formative and summative assessment together can improve the validity of the data. The results will potentially bring more efficiency to modern land administration processes by avoiding the accumulation of errors in 3D cadastral data generation.
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ItemAdvances in techniques to formulate the watertight concept for cadastre(Wiley, 2020-10-20)The world’s rising urban density expansion has resulted in a proliferation of attempts to efficiently use space and a higher level of spatial complexity in metropolitan areas. 3D geospatial data models are increasingly being embraced to facilitate communicating the spatial dimensions of complex built environments in different applications. For example, the use of 3D models in land administration systems has been recognized as a good approach for communicating the spatial complexity of legal spaces within multi‐storey buildings. The spatial extent of legal space—to which rights, restrictions and responsibilities relate in a 3D digital cadastre—needs to be accurately defined and geometrically closed; watertight. Therefore, this study aims to address the challenges regarding checking the closure of diverse 3D legal spaces and engage several techniques to formulate the watertight concept for cadastre. The research’s methodology is built on a 3D polyhedral surface using a half‐edge data structure. A primitive check is employed to assess the spatial consistency of lower‐dimensional primitives of 3D objects. Subsequently, advanced closure checks ensure the closure of volumetric legal spaces represented by 2‐manifold and non‐2‐manifold data models. The article concludes that, by adopting the proposed approaches, the internal spatial consistency of legal spaces in urban land administration will be certified.
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ItemA structured framework for 3D cadastral data validation − a case study for Victoria, Australia(Elsevier BV, 2020-11-01)There are a wide variety of cadastral objects, ranging from simple 2D entities such as a land parcel, to complex 3D objects such as multistory/multi-owned buildings. The complex infrastructures development happening above and below the ground complicates the processes required for defining rights, restrictions and responsibilities in 3D (3D RRRs). Even in the current, predominantly, 3D analogue cadastral system which relies on 2D drawings and representations, defining 3D RRRs is still a complicated task. With the widespread use of 3D geospatial information technologies, it is increasingly becoming easy to realise and interpret a 3D digital cadastre system. As part of the process of transition from the 2D representation of cadastre towards a 3D digital cadastre, not only will 2D representations be replaced with 3D models, but the examination workflow and its principles also need to be able to manage 3D models. Developing principles and validation rules is a critical requirement to guarantee that the diverse cadastral data is trustable and contains enough detail to define the spatial and legal extents of ownership. This paper proposes a structured framework to define validation rules for 3D cadastral models. The paper’s methodology utilises a case study approach where a plan examination process in Victoria, Australia has been analysed to investigate the principles of examining cadastral plans, and further expanded on for validating 3D digital plans. The paper concludes with a discussion on the implications of the proposed 3D validation rules and proposes future research within the topic of 3D cadastral data validation.