Urban Development Simulator: How Can Participatory Data Gathering Support Modeling of Complex Urban Systems

  • Ernst Gebetsroither-GeringerEmail author
  • Wolfgang Loibl
Part of the Understanding Complex Systems book series (UCS)


This chapter presents two approaches of gathering data to serve as input for an urban decision support system that, using Agent-based Modeling, is meant to simulate urban development based on people’s movement within a selected urban region. The two approaches presented are, first, a traditional one using static data from the past and, second, a recently-developed one using participatory data gathering. The juxtaposition of both approaches in this chapter suggests how the new approach can be beneficial—in particular in situations where data is not available (in the desired granularity) or outdated. The main issue discussed is how and if a participatory data gathering can support urban modeling, the simulation of complex urban systems, and their future development.


Target Area Spatial Characteristic Online Questionnaire Participatory Approach Choice Probability 
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  1. ASDE: (2015). Accessed 26 Nov 2015
  2. Berland, M., Rand, W.: Participatory simulation as a tool for agent- based simulation. Matthew Berland Dept. of Computer Sciences/ICES, Univ. of Texas at Austin, USA William Rand Department of Computer Science, Univ. of Maryland, USA. (2009)
  3. eParticipation: Digital Agenda for Europe (2015). Accessed 12 Oct 2015
  4. Gebetsroither, E.: Combining multi-agent systems modelling and system dynamics modelling in theory and practice. Alpen-Adria Universität Klagenfurt: Fakultät für Technische Wissenschaften, pp. 1–166. Klagenfurt (2009)Google Scholar
  5. Gebetsroither-Geringer, E.: Multimethod modeling and simulation supporting urban planning decisions. Understanding Complex Urban Systems: Multidisciplinary Approaches to Modeling, pp. 13–27. Springer (2014)Google Scholar
  6. Gebetsroither-Geringer, E., Loibl, W.: Urban development simulator: an interactive decision support tool for urban planners enabling citizen’s participation. In: Proceedings REAL CORP 2014, pp. 749–756. Vienna (2014)Google Scholar
  7. Gebetsroither-Geringer, E., Loibl, W.: Urban Development and Infrastructure Cost Modelling for Managing Urban Growth in Latin American Cities. In: At 20th International Conference on Urban Planning and Regional Development in the Information Society, REAL CORP 2015,  pp. 639–649. Ghent May (2015)
  8. Loibl, W.: Simulating suburban migration: moving households, social characteristics and driving forces on migration behaviour. In: Feichtinger, G. (ed.) Vienna Yearbook of Population Research 2004, pp. 201–223. Austrian Academy of Sciences press. Wien (2004)Google Scholar
  9. Loibl, W., Kramar, H.: Standortattraktivität und deren Einfluss auf Wanderung und Siedlungsentwicklung. In: Strobl, J., Blaschke, T., Griesebner, G. (eds.) Angewandte Geographische Informationsverarbeitung XIII, pp. 309–315. Wichmann Verlag, Heidelberg (2001)Google Scholar
  10. Loibl, W., Köstl, M., Steinnocher, K., Tötzer, T., Hoffmann, C., Petrini, F.: Settlement growth and densification within a peri-urban poly-centric region—driving forces analysis, model development and preliminary simulation results. In: Proceedings of the 45th Congress of the European Regional Science Association, 23–27 Aug 2005. Amsterdam (2005)Google Scholar
  11. Loibl, W., Tötzer, T., Köstl, M., Steinnocher, K.: Simulation of polycentric urban growth dynamics through agents—model concept, application, results and validation. In: Koomen, E., Stillwell, J., Bakema, A., Scholten, H. (eds.) Modelling Land-Use Change—Progress and applications, pp. 219–235. Springer, Dortrecht (2007)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.AIT Austrian Institute of TechnologyViennaAustria

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