Infrastructure Engineering - Research Publications

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    3D Cadastre in Victoria Australia : Converting building plans of subdivision
    Aien, A ; Rajabifard, A ; Kalantari, M ; Williamson, I ; Shojaei, D (Geomares Publishing, 2011-08-01)
    Three-dimensional (3DD) land development is common, especially in urban areas. Management of 3D land rights, restrictions and responsibilities (3D RRRs) is one of the most important challenges in current land-administration systems, most of which are equipped with cadastres able only to maintain information in a 2D spatial information environment.
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    Developing and testing a 3D cadastral data model: a case study in Australia
    Aien, A ; Kalantari, M ; Rajabifard, A ; Williamson, IP ; Shojaei, D (ISPRS Comm V Symposium, 2012-07-16)
    Population growth, urbanization and industrialization place more pressure on land use with the need for increased space. To extend the use and functionality of the land, complex infrastructures are being built, both vertically and horizontally, layered and stacked. These three-dimensional (3D) developments affect the interests (Rights, Restrictions, and Responsibilities (RRRs)) attached to the underlying land. A 3D cadastre will assist in managing the effects of 3D development on a particular extent of land. There are many elements that contribute to developing a 3D cadastre, such as existing of 3D property legislations, 3D DBMS, 3D visualization. However, data modelling is one of the most important elements of a successful 3D cadastre. As architectural models of houses and high rise buildings help their users visualize the final product, 3D cadastre data model supports 3D cadastre users to understand the structure or behavior of the system and has a template that guides them to construct and implement the 3D cadastre. Many jurisdictions, organizations and software developers have built their own cadastral data model. Land Administration Domain Model (DIS-ISO 19152, The Netherlands) and ePlan (Intergovernmental Committee on Surveying and Mapping, Australia) are examples of existing data models. The variation between these data models is the result of different attitudes towards cadastres. However, there is a basic common thread among them all. Current cadastral data models use a 2D land-parcel concept and extend it to support 3D requirements. These data models cannot adequately manage and represent the spatial extent of 3D RRRs. Most of the current cadastral data models have been influenced by a very broad understanding of 3D cadastral concepts because better clarity in what needs to be represented and analysed in the cadastre needs to be established. This paper presents the first version of a 3D Cadastral Data Model (3DCDM_Version 1.0). 3DCDM models both the legal and physical extent of 3D properties and associated interests. The data model extends the traditional cadastral requirements to cover other applications such as urban planning and land valuation and taxation. A demonstration of a test system on the proposed data model is also presented. The test is based on a case study in Victoria, Australia to evaluate the effectiveness of the data model.
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    Utilising data modelling to understand the structure of 3D cadastres
    Aien, A ; Kalantari, M ; Rajabifard, A ; Williamson, I ; Bennett, R (TAYLOR & FRANCIS LTD, 2013-09-01)
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    Building on the third dimension
    RAJABIFARD, ABBAS ; WILLIAMSON, IAN ; JAZAYERI, IDA ; Kalantari, Mohsen (Geospatial Media & Communications, 2013)
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    Spatially enabled land administration: paradigm shift in land information management
    RAJABIFARD, ABBAS ; Kalantari, Mohsen ; WILLIAMSON, IAN ( 2013)
    The administration of land is challenged by the increasing need of clients for land information and by the creation of new land related commodities and interests. In this space, spatial information and technologies can change the way business and governments manage activities and solve problems in relation to land. Much information relates to place and locations. Some of this is spatial information, but a great deal is information that can be organised according to its impact on a place. These emerging spatial technologies potentially expand the capacity of societies. They provide possibilities for ordering information that are profoundly world changing. The more difficult task involves embedding new technologies into the most conservative and fundamental processes in land information and management of the land market, particularly, into the land registries. Regardless, the opportunities provided by emerging technologies are driving changes in the way governments interact with their citizens, principally in initiatives to spatially enable their processes, as well as their information .Building on the growing need for land information and availability of spatial technologies, this paper presents two paradigm shifts in collecting and managing land information in the context of spatially enabled land administration.
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    Introduction (A national infrastructure for managing land information: research snapshot)
    RAJABIFARD, ABBAS ; WILLIAMSON, IAN (Centre for Spatial Infrastructures, Land Administration, Department of Infrastructure Engineering, University of Melbourne., 2012)
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    AAA land information: accurate, assured and authoritative
    WILLIAMSON, IAN ; RAJABIFARD, ABBAS ; Kalantari, Mohsen ; WALLACE, JUDE ( 2012)
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    On recognizing land administration as critical, public good infrastructure
    Bennett, R ; Tambuwala, N ; Rajabifard, A ; Wallace, J ; Williamson, I (ELSEVIER SCI LTD, 2013-01)
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    Developing and testing a 3D cadastral data model: a case study in Australia
    AIEN, ALI ; Kalantari, M. ; Rajabifard, A. ; Williamson, I. P. ; Shojaei, D. (ISPRS, 2012)
    Population growth, urbanization and industrialization place more pressure on land use with the need for increased space. To extend the use and functionality of the land, complex infrastructures are being built, both vertically and horizontally, layered and stacked. These three-dimensional (3D) developments affect the interests (Rights, Restrictions, and Responsibilities (RRRs)) attached to the underlying land. A 3D cadastre will assist in managing the effects of 3D development on a particular extent of land. There are many elements that contribute to developing a 3D cadastre, such as existing of 3D property legislations, 3D DBMS, 3D visualization. However, data modelling is one of the most important elements of a successful 3D cadastre. As architectural models of houses and high rise buildings help their users visualize the final product, 3D cadastre data model supports 3D cadastre users to understand the structure or behavior of the system and has a template that guides them to construct and implement the 3D cadastre. Many jurisdictions, organizations and software developers have built their own cadastral data model. Land Administration Domain Model (DIS-ISO 19152, The Netherlands) and ePlan (Intergovernmental Committee on Surveying and Mapping, Australia) are examples of existing data models. The variation between these data models is the result of different attitudes towards cadastres. However, there is a basic common thread among them all. Current cadastral data models use a 2D land-parcel concept and extend it to support 3D requirements. These data models cannot adequately manage and represent the spatial extent of 3D RRRs. Most of the current cadastral data models have been influenced by a very broad understanding of 3D cadastral concepts because better clarity in what needs to be represented and analysed in the cadastre needs to be established. This paper presents the first version of a 3D Cadastral Data Model (3DCDM_Version 1.0). 3DCDM models both the legal and physical extent of 3D properties and associated interests. The data model extends the traditional cadastral requirements to cover other applications such as urban planning and land valuation and taxation. A demonstration of a test system on the proposed data model is also presented. The test is based on a case study in Victoria, Australia to evaluate the effectiveness of the data model.
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    A GML-based approach to automate spatial metadata automation
    OLFAT, HAMED ; Kalantari, Mohsen ; RAJABIFARD, ABBAS ; Senot, Hervé ; Williamson, Ian P. (Taylor & Francis, 2012)