Gebetsroither-Geringer, Ernst and Loibl, Wolfgang and Köstl, Mario and Peters-Anders, Jan (2016) Smart Urban simulation tools for planning decision support need smart data and smart data gathering methods. REAL CORP 2016 – SMART ME UP! How to become and how to stay a Smart City, and does this improve quality of life? Proceedings of 21st International Conference on Urban Planning, Regional Development and Information Society. pp. 659-666.
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Text (Smart Urban simulation tools for planning decision support need smart data and smart data gathering methods)
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Abstract
Urban growth is a challenge for most cities all over the world, especially in less developed countries. This tendency calls for smart/innovative instruments to foster sustainable urban development. Decision support for urban planning is required in order to reduce costs and resources to better accommodate new population, willing to move into urban areas. Latin American countries e.g. went from being predominantly rural to predominantly urban within a few decades, leading to high concentrations of urban population. This urban growth is expected to continue leading to severe financial stress for city budgets by providing the required infrastructure. AIT - Austrian Institute of Technology has been contracted by the Inter-American Development Bank (IDB) to develop a smart “Urban Infrastructure Development Simulator” (UIDS) – a tool to performe urban growth simulation and related infrastructure cost estimations, which can be used effordless to support urban planning decissions. Therefore an Agent-based simulation model representing the urban growth by estimating dwelling behavior of the cities’ today’s residents and future residents from outside the urban region was developed. This urban growth simulation tool is based on input data with different spatial and temporal resolution. Data from Geographical Information Systems, Remote Sensing as well as statistical data are used to simulate scenarios for future development paths. To support the urban planning process such kind of tools need to have a high flexibility in data management, e.g., the import of new (e.g., more accurate) data to calculate new scenarios. But beyond this common need, what if the data is not or only partially available, how can a data gathering process be supported by new tools and methods. The paper will introduce different innovative ways urban planners can be supported to gain new data, which can be used in tools as the UIDS. The approaches developed enable the urban planners to easily introduce important tacit knowledge about the city into the simulation tool. Another method will depict how citizens participation for data collection can be enabled. The paper will further elaborate in general which challenges have been encountered and which solutions reduce the problems using different temporal and spatial data. The results discussed are based on experiences gathered whithin several urban growth simulation projects performed for different regions in Europe and Latin America.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Smart Data, Urban Growth Simulation, Agent-based Simulation, Decision support tool, Urban planning |
| Subjects: | G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography G Geography. Anthropology. Recreation > GF Human ecology. Anthropogeography Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Depositing User: | REAL CORP Administrator |
| Date Deposited: | 21 Jul 2016 09:05 |
| Last Modified: | 03 Nov 2016 09:12 |
| URI: | http://repository.corp.at/id/eprint/144 |
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