• Egils Ginters Vidzeme University of Applied Sciences
  • Artis Aizstrauts Vidzeme University of Applied Sciences
  • Dace Aizstrauta Vidzeme University of Applied Sciences
  • Ieva Lauberte Vidzeme University of Applied Sciences
  • Miquel Angel Universitat Autonoma de Barcelona
  • Piera Eroles Universitat Autonoma de Barcelona
  • Roman Buil Universitat Autonoma de Barcelona
  • Peter Sonntagbauer Cellent AG Vienna
  • Susanne Sonntagbauer Cellent AG Vienna


Mathematically justified planning of policy is extremely important because any wrong decision can lead to serious consequences. It is no secret that mathematical modelling and other advanced analytical methods are rarely used for policy planning and decision impact forecasting because those require specific knowledge. The FP7 FUPOL project aims at a completely new approach to traditional policy analysis providing direct access for policy decision makers to domain uses cases modelling and verification on FUPOL Simulator and visualisation of the results in the form suitable for beneficiaries. Policy domain uses cases models are versatile, therefore architecture of the simulator must fit to the requirements of complexity and usability that determines involving heterogeneous agent-based and system dynamics simulation technologies and distributed simulation. The article deals with FUPOL approach in policy modelling and simulation, simulator designing, and sustainability assessment of provided technology. The FUPOL approach promotes simultaneously running of heterogeneous use case simulation models enhancing performance of simulation session. Belonging to open source spreads potential users’ network thus reducing errors in simulation and also in policy decision making. Web services SOA based architecture enhances integration with other decision making and service tools.


Bhattacherjee, A. (2001). Understanding Information Systems Continuance: and Expectation-Confirmation Model. MIS Quarterly, 25 (3), 351-370. http://dx.doi.org/10.2307/3250921

Davis, F. D., Bagozzi, R. P. & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, Vol. 35, No. 8, 982-1003. http://dx.doi.org/10.1287/mnsc.35.8.982

European Environment Agency (2012). Corine Land cover. Retrieved December 24, 2012, from http://www.eea.europa.eu/publications/COR0-landcover

Joint Research Centre (2013). MOLAND - Monitoring Land Use/Cover Dynamics. Towards Sustainable Urban and Regional Development. Retrieved February 12, 2013, from http://moland.jrc.ec.europa.eu/technical_tools/model/moland_model.htm

Li, X., Zaiane, O. R. & Li, Zh. (2006). Advanced Data Mining and Applications. Proceedings of Second International Conference, ADMA 2006, held in Xi’an, China, August 14-16, 2006. Berlin, Germany: Springer. http://dx.doi.org/10.1007/11811305

Linke, Ch. S. (2008). Local level application of the dynamic land use model METRONAMICA. Assessment and modeling – a case study on the Dutch municipality Weert. (Diploma Thesis). Available at the Technical University Berlin Institute of Landscape Architecture and Environmental Planning.

Perumalla, K. (2011). Tutorial: Handling Time Management under the High Level Architecture. Retrieved November 15, 2011, from http://www.ornl.gov/~2ip/doc/perumalla-tutorialslides-iitsec06.pdf

Petter, S., DeLone, W. & McLean, E. (2008). Measuring information systems success: models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17, 236-263. http://dx.doi.org/10.1057/ejis.2008.15

Piera, M.A., Mújica, M., Moise, M. & Neofytou, H. (2012). Deliverable 2.2: FUPOL Cognitive and Causal Models for Prototype. Retrieved April 16, 2013, from http://www.socsimnet.com/down/D2.2-FUPOL-Cognitive-and-Causal-Models-for-Prototype.pdf

Roggers, E. M. (2003). Diffusion of innovation. (5th ed.). New York, NY: The Free Press.

Silins, A., Ginters, E. & Aizstrauta, D. (2010). Easy Communication Environment for Distributed Simulation. In: World Scientific Proceedings Series on Computer Engineering and Information Science (pp. 91-98). Singapore: World Scientific Publishing Co. Pte. Ltd.

Sonntagbauer, S., Hassapi, A., Tomic-Rotim, S., Neophytou, H., Piera Eroles, M. A., Mujica Mota, M. A. & Palmisano, E. (2012). Deliverable 2.1: FUPOL Guidelines on Policy for Cities and Municipalities. Retrieved April 16, 2013, from http://www.socsimnet.com/down/D2.1-FUPOL-guidelines-on-policy-for-cities-and-municipalities.pdf

Venkatesh, V., Morris, M. G., Davis, G. B. & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27 (3), 425-478.

Ginters, E. (Ed.) (2012). Deliverable 4.2: FUPOL Simulator Software Interfaces Specification. Retrieved April 16, 2013 from http://www.socsimnet.com/down/D4.2-FUPOL-Simulator-Software-Interfaces-Specification.pdf

Buil, R. & Piera, M. A. (Eds.) (2012). Deliverable 2.3: FUPOL Model Parameterization. (Draft Version). Retrieved April 16, 2013, from http://www.socsimnet.com/down/D2.3-FUPOL-Model-Parameterization.pdf