Budapest University of Technology and EconomicsFaculty of Civil Engineering - Since 1782

The goal of the research is to generate a much richer, GeoDesign behavioral framework to improve the conventional linear civil engineering planning approaches. The objective of this research is to explore aspects of geographic-based urban modeling. The GeoDesign based real-time feedback could assist in understanding the effects of altering land use and construction interactions. The information technology workflow enables more complex measurement and modeling, and revise the economics of civil engineering planning by improving the sustainability of natural and built environment. The research focuses on specific issues and strategies for developing the National Spatial Data Infrastructure (NSDI) as a structural fundament. The NSDI based smart urban models could simulate the impacts of the planned infrastructure in the affected areas. The planned research applies the GeoDesig concepts: planning assessment – planning intervention. The first model comprises the assessment process, looking at existing conditions within a geographic context, the second model comprises the intervention process, looking at how that context might be changed, the potential consequences of those changes, and whether the context should be changed.

Geographic information is vital to make trustworthy decisions at the local, regional, and global levels. Engineering planning, landscape planning, crime management, business development, flood mitigation, environmental restoration, community land use assessments and disaster recovery are just a few examples of areas in which decision-makers are benefiting from geographic information, together with the associated Spatial Data Infrastructure. The NSDI supports information discovery, access, and use of this information in the decision-making process. However, information is an expensive resource, and for this reason appropriate information and the resources to fully utilise this information may not always be readily available, particularly for the wider community. The most GIS applications employ a limited number of common geospatial data items, including geodetic control points, transportation networks, hydrological networks, contour lines and so forth. These items are common to many GIS applications and provide keys for the integration of other and more specialized thematic information. The base element of the research is to identify the key data component elements of the NSDI data sources in local, regional and global extents.