Infrastructure Engineering - Theses
Permanent URI for this collection
Search Results
1 - 1 of 1
-
Item3D Spatial Data Validation in Urban Land Administration( 2022)The world’s growing and increasingly unsustainable rate of urbanisation has resulted in attempts to utilise spaces more efficiently and a higher level of spatial complexity in metropolitan areas. This has led to the building proliferation of multi-storey apartment blocks, offices, and other urban infrastructure to accommodate more people and provide more facilities. Multi-storey buildings are the most prominent components of an urban built environment. The complexity of urban built environments is progressively being increased by developing and designing overly complex multi-storey constructions. A collection of ownership spaces associated with privately, commonly, and publicly owned properties are defined within multi-storey buildings. Property ownership rights include a variety of rights, restrictions, and responsibilities (RRRs). Land administration systems provide a platform for implementing land management policies and strategies. Cadastre is an engine of land administration systems that is responsible for registering RRRs information. The information and processes associated with documenting and managing legal ownership of properties in multi-storey building developments are what urban land administration systems deal with. The spatial and legal definition of arrangements and boundaries of RRR spaces plays an underpinning role in urban land administration practices. The spatial extent of ownership spaces within multi-storey buildings is often outlined as complex 3D volumetric spaces in complex ownership settings. However, the current urban land administration practices have been founded around 2D-based systems and technologies. This means that different components of land administration such as data representation, visualisation, storage, and validation are managed by either fully analogue or partially automatic 2D technologies. For example, 2D subdivision plans and cross-sections represent 3D ownership spaces within multi-storey buildings. The examination process serves as a manual one in the current practice. This 2D-based system introduces a gamut of challenges and issues in terms of communicating, storing, and examining various complex volumetric ownership spaces defined within multi-storey buildings. 3D geospatial technologies have shown their excellent potential and maturity for managing complex, vertical multi-layered ownership arrangements. However, the current 2D examination system is not mature enough to examine the spatial and legal volumetric ownership spaces. The current 2D examination system utilising 2D validation rules is not capable of ensuring an unambiguous and definitive spatial and legal definition of 3D property parcels when dealing with 3D digital data. Hence, as part of land administration modernisation, not only is 2D analogue data being replaced with 3D digital models, but the examination process and its principles and validation rules must be able to validate 3D digital data. Developing principles and validation rules is a critical requirement to guarantee that the diverse cadastral data is trustworthy and contains enough detail to define ownership’s spatial and legal boundaries. Therefore, this thesis aimed to develop a set of 3D principles and validation rules to ensure the spatial and legal integrity of legal boundaries as well as volumetric legal spaces defined in a 3D digital representation of built environments. To develop a framework for 3D cadastral data validation, the current examination practice in Victoria, Australia was investigated. Subsequently, methods and approaches using computational geometry algorithms were devised to check the internal and external spatial consistency and integrity of 3D parcels and their relationships in multi-storey buildings. The research was also extended to investigate the required stages: firstly, for generating cadastral data using the Building Information Model (BIM); and secondly, to develop criteria and standards to check the validity of BIM-based cadastral data during and at the end of data generation. A wide range of complex cadastral datasets was used to evaluate the reliability and viability of the developed methods. The findings of this research will potentially enable modern land administration processes to function more efficiently, by avoiding the accumulation of errors in 3D cadastral data generation and automating the 3D cadastral data examination process.