Infrastructure Engineering - Research Publications

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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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    3D Property Ownership Map Base for Smart Urban Land Administration
    Kalantari, M (FIG (International Federation of Surveyors), 2017)
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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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    AAA land information: accurate, assured and authoritative
    WILLIAMSON, IAN ; RAJABIFARD, ABBAS ; Kalantari, Mohsen ; WALLACE, JUDE ( 2012)
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    A national vision for Australian land registries
    BENNETT, ROHAN ; RAJABIFARD, ABBAS ; WILLIAMSON, IAN ; WALLACE, JUDE ; Marwick, Brian ( 2011)
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    Spatially Enabling Risk for Management of Land and Property
    POTTS, K ; Rajabifard, A ; Williamson, IP (Surveying & Spatial Sciences Institute, 2011)
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    Understanding the relationship between spatial information, property markets and macroeconomic policy
    Tambuwala, N ; Bennett, RM ; Rajabifard, A ; Williamson, IP (Surveying & Spatial Sciences Institute, 2011)
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    Spatially enabled society
    WILLIAMSON, IAN ; RAJABIFARD, ABBAS ; WALLACE, JUDE ; BENNETT, ROHAN (International Federation of Surveyors (FIG), 2011)
    The term 'spatially enabled society' describes the emerging cultural and governance revolution offered by pervasive spatial information technologies and spatially equipped citizens. Spatially enabled societies make possible, amongst many other things, sustainable cities, GFC early warning systems, smarter delivery of housing, improved risk management, and better macroeconomic decision making. The concept is not about managing spatial information, it is about governing society spatially. Spatially enabled societies represent the realization of the promises offered by building spatial data infrastructures (SDIs) and reforming land administration systems. These building blocks, established over decades, make possible spatially enabled societies. Without tools for managing metadata, building complete national cadastres, modelling and integrating the 3rd dimension, and much other foundational work, spatially enabled societies cannot emerge. This paper explores the notion of spatially enabled societies further. Example applications are used in the discussion. The paper also demonstrates how, despite the grand possibilities of revolutionary spatial technologies and spatially aware citizens, existing infrastructures including SDIs and land administration system will still require an ongoing governance structure for spatially enabled societies to be maintained.
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    Spatially enabled risk management: models, cases, validation
    Potts, Katie ; RAJABIFARD, ABBAS ; BENNETT, ROHAN ; WILLIAMSON, IAN (GSDI, 2012)
    Risk has a spatial nature. All events that result from risks have a link to a specific location or a factor in space. Understanding where on earth these risks are present allows for these risks to be mitigated, avoided, or managed. In order to manage the risks however accurate and timely spatial information about land and property is first needed. Historically, land administration systems have held this information, however, in recent years these systems have been superseded by other infrastructures that have the capability to capture and store information spatially. While these new systems offer the advantages of spatially enabled information, the authoritative information held within land administration systems is necessary for risk management. Land administration systems need to adapt to remain relevant in the 21st century, and coordination between these land administration systems and the new infrastructures is required to increase the ability of stakeholders to manage this information for risk management purposes. A framework targeted at this issue has been developed which proposes a spatially enabled approach for managing risks for governments, industry, citizens and wider society that takes into account the current information infrastructures (including land administration systems), the stakeholders, and the relevant risks that affect land and property. This framework results in the aggregation and dissemination of consistent information about risk to land and property to all stakeholders. So far the proposed framework has not been tested; however the recent floods in Queensland present an opportunity to apply the framework in the post event environment to determine whether the framework is appropriate within the Australian context.