Infrastructure Engineering - Research Publications

Permanent URI for this collection

http://hdl.handle.net/11343/347

Filters

2010 - 2011 2
Reset filters

Settings
Statistics
Citations
End date: 2011 × Start date: 2010 × Type: Book Chapter ×

Search Results

Now showing 1 - 2 of 2
  • Item
    Thumbnail Image
    Advanced principles of 3D cadastral data modelling
    AIEN, ALI ; Kalantari, Mohsen ; RAJABIFARD, ABBAS ; WILLIAMSON, IAN ; BENNETT, ROHAN (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.
  • Item
    Thumbnail Image
    Implementing spatially enabled government (SEG) concept in Indonesian local government, challenges and opportunities
    SUTANTA, HERI ; RAJABIFARD, ABBAS ; Aditya, Trias (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.