Infrastructure Engineering - Research Publications
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ItemIntroduction (A national infrastructure for managing land information: research snapshot)(Centre for Spatial Infrastructures, Land Administration, Department of Infrastructure Engineering, University of Melbourne., 2012)
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ItemTowards spatial enablement and beyond(GSDI Association Press, 2012)With the many challenges facing society today at multiple scales, location has emerged as a key facilitator in decision-making. Location data is now commonly regarded as the fourth driver in the decision-making process, complementing the more traditional triple bottom line approach (social, economic and environmental drivers). The location provides more intelligent data analysis due to improved analytical and visualisation capabilities. Additionally, initiatives like Gov 2.0 have provided a driver to increase responsiveness and service delivery capacity. As well as, recent technological developments, such as Web 2.0 and ubiquitous location based services, have made it easier for ordinary citizens and businesses to become spatially enabled, but just as importantly, these developments have provided them with tools to contribute to the flow of spatial information through all levels of society. In this context, the concept of Spatially Enabled Society (SES), is offering new opportunities for government and wider society in the use and development of spatial information, but it needs to move beyond the current tendency for the responsibility to achieve SES to lie solely with governments. SES will be more readily achieved by increasing involvement from the private sector, and in the same vein, if the spatial industries start to look toward other industries for best practices in service delivery. With this in mind, the theme of the GSDI 13 World Conference, Quebec 2012 is "Spatially Enabling Government, Industry and Citizens". Focusing on the journey we are on as professionals and researchers rather than just on objectives, it gives us a rich opportunity to examine how far we have come over the past twenty-plus years in terms of the infrastructure put in place, the applications but on top of that foundation, and our vision and expectations of what needs to be done next.
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ItemDeveloping and testing a 3D cadastral data model: a case study in Australia(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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ItemAn integrated Web-based 3D modeling and visualization platform to support sustainable cities(ISPRS, 2012)Sustainable Development is found as the key solution to preserve the sustainability of cities in oppose to ongoing population growth and its negative impacts. This is complex and requires a holistic and multidisciplinary decision making. Variety of stakeholders with different backgrounds also needs to be considered and involved. Numerous web-based modeling and visualization tools have been designed and developed to support this process. There have been some success stories; however, majority failed to bring a comprehensive platform to support different aspects of sustainable development. In this work, in the context of SDI and Land Administration, CSDILA Platform – a 3D visualization and modeling platform – was proposed which can be used to model and visualize different dimensions to facilitate the achievement of sustainability, in particular, in urban context. The methodology involved the design of a generic framework for development of an analytical and visualization tool over the web. CSDILA Platform was then implemented via number of technologies based on the guidelines provided by the framework. The platform has a modular structure and uses Service-Oriented Architecture (SOA). It is capable of managing spatial objects in a 4D data store and can flexibly incorporate a variety of developed models using the platform’s API. Development scenarios can be modeled and tested using the analysis and modeling component in the platform and the results are visualized in seamless 3D environment. The platform was further tested using number of scenarios and showed promising results and potentials to serve a wider need. In this paper, the design process of the generic framework, the implementation of CSDILA Platform and technologies used, and also findings and future research directions will be presented and discussed.
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ItemAdvanced principles of 3D cadastral data modelling(FIG, 2011)Current cadastral data models use a 2D land-parcel definition and extend it to cover 3D requirements. This approach cannot adequately manage and represent the spatial extent of 3D land rights, restrictions and responsibilities (3D RRRs). This paper aims to develop a 3D Cadastral Data Model (3DCDM) to configure 3D cadastral frameworks, manage and represent 3D RRRs, and facilitate 3D cadastre implementation. Three underlying principles have been proposed to develop the 3D Cadastral Data Model (3DCDM). These principles are: • Principle 1: The 2D cadastral data model is a sub-set of the 3D cadastral data model, • Principle 2: The 3D cadastral data model should not only accommodate 3D RRRs and their association with physical objects: the data model should also represent the spatial extent of 3D RRRs, and; • Principle 3: The 3D cadastre data model should cater for a broad range of land administration functions including land tenure, land value, land use, and land development with sufficient detail. These principles are used to assess and modify the core cadastral data model. Additionally, principles related to the legal property object are also used to modify the 3DCDM. The legal property object combines interests and its spatial dimension into a single entity. This creates more flexibility and enables inclusion of complex commodities and all kinds of RRRs. The first version of a 3D Cadastral Data Model (3CDM_Version 1.0) is provided at the end of this paper. 3DCDM maintains both legal and physical parts of 3D objects. The data model has wider application than the traditional requirements of cadastral systems: it is also usable in applications such as urban planning and disaster management.
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ItemImplementing spatially enabled government (SEG) concept in Indonesian local government, challenges and opportunities(Aura, 2010)Most government decisions and action at national and local levels have a spatial component. Local government activities with spatial components include, but are not limited to, spatial planning, land management, taxation, and the issue of building and site permits. A framework for governing spatially related activities needs to be formulated. An emerging concept of Spatially Enabled Government (SEG) is currently being developed, refined and implemented in many countries. SEG will increase efficiency, transparency and accountability of government activities. This paper will discuss the SEG concept, its prospects and challenges when implemented in the context of Indonesian local government. Local government in this paper refers only to district (kabupaten/kota) level. The following data were used: survey on local government’s website and questionnaire. Of the 479 districts in Indonesia, official websites of 442 districts established after 2006 were surveyed. Questionnaires were sent out to 71 districts, with 34 responses being received. The questionnaire covered areas of organization, human resources and spatial data infrastructures (SDIs). It was designed to investigate the existing capacity and understanding of local government spatial governance, specifically at the local planning agency. Website surveys revealed that local government had limited interest in exploiting the virtually unlimited potential of internet for spatially-related government activities. SDI, as an enabling platform for data sharing and exchange among government agencies, has not been considered important. Comprehensive policies on spatially-related government programmes were limited. Finding from the questionnaires indicates that funding and qualification of human resources were the main responsible factors for this situation. Local governments have limited staffs with expertise in spatial data handling. Some recommendations to overcome the challenges and impediments are presented. Although there are challenges and impediments, SEG may still be implemented in local government provided some necessary conditions are met. Recent central government initiatives on national spatial data infrastructure (NSDI) and telecommunication infrastructure, which will be implemented in the near future, are essential to speed up the process of creating better spatial data governance in local government.