Using spatially explicit marketing data to build social simulations

Empirical Agent-Based Modelling - Challenges and Solutions Volume 1: The Characterisation and Parameterisation of Empirical Agent-Based Models

Volumn , Issue , 2014, Pages 85-103

  Ernst, Andreas ^a  

^a UNIVERSITY OF KASSEL   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMMERCE; MARKETING; NATURAL LANGUAGE PROCESSING SYSTEMS;

ARTIFICIAL AGENTS; BUILT-UP AREAS; DOMAIN SPECIFIC; LOCALISATION; MARKETING RESEARCH; SCALING-UP; SOCIAL SIMULATIONS; SPATIALLY EXPLICIT;

POPULATION STATISTICS;

EID: 84899484379     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4614-6134-0     Document Type: Chapter

References (36)

1. Aarts H, Dijksterhuis A (2000) Habits as knowledge structures. Automaticity in goal-directed behavior. J Pers Soc Psychol 78(1):53-63
2. Ajzen I (1991) The theory of planned behavior. Organ Behav Hum Decis Process 50(2):179-211
3. Barth M, Hennicker R, Kraus A, Ludwig M (2004) DANUBIA: an integrative simulation system for global change research in the Upper Danube Basin. Cybern Syst 35(7-8):639-666
4. Barthel R, Janisch S, Schwarz N, Trifkovic A, Nickel D, Schulz C, Mauser W (2008) An integrated modelling framework for simulating regional-scale actor responses to global change in the water domain. Environ Model Softw 23:1095-1121
5. Bossel H (2000) Policy assessment and simulation of actor orientation for sustainable development. Ecolog Econ 35(3):337-355
6. Bourdieu P (1984) Distinction. A social critique of the judgment of taste. Harvard University Press, Cambridge, MA
7. Briegel R, Ernst A, Holzhauer S, Klemm, D, Krebs F, Martinez Pinanez A (2012) Social-ecological modelling with LARA: A psychologically well-founded lightweight agent architecture Seppelt R, Voinov A A, Lange S, Bankamp D (eds.) International Environmental Modelling and Software Society (iEMSs) 2012 International Congress on Environmental Modelling and Software. Managing Resources of a Limited Planet: Pathways and Visions under Uncertainty, Sixth Biennial Meeting, Leipzig, Germany. http://www.iemss.org/society/index.php/iemss- 2012-proceedings.
8. Elbers M, Kuhn S, Klemm D, Ernst A (2010) Domestic water use under social and climatic change: projections of a coupled spatial simulation system. Proceedings of the 3rd world congress on social simulation, Kassel, Germany
9. Ernst A (2002) Modellierung der Trinkwassernutzung bei globalen Umweltveranderungen—erste Schritte. Umweltpsychologie 6(1):62-76
10. Ernst A (2009) Interaktion, Dynamik, Raum—Komplexe agentenbasierte Modelle in der Umweltpsychologie. Umweltpsychologie 13(1)84-98
11. Ernst A, Schulz C, Schwarz N, Janisch S (2005) Shallow and deep modelling of water use in a large, spatially explicit, coupled simulation system. In: Troitzsch K (ed) Representing social reality. Folbach, Koblenz, pp 158-164
12. Ernst A, Schulz C, Schwarz N, Janisch S (2008) Modelling of water use decisions in a large, spatially explicit, coupled simulation system. In: Edmonds B, Hernandez C, Troitzsch KG (eds) Social simulation technologies: advances and new discoveries. Idea Group Inc, Hershey, pp 138-149
13. Fischer C (1982) To dwell among friends: personal networks in town and city. The University of Chicago Press, Chicago
14. Gigerenzer G, Todd PM, the ABC Research Group (2001) Simple heuristics that make us smart. Oxford University Press, Oxford
15. Gilbert N, Troitzsch KG (2005) Simulation for the social scientist. Open University Press
16. Groger M, Schmid V, Bruckner T (2011) Lifestyles and their impact on energy-related investment decisions. Low Carbon Econ 2:107-114
17. Hennicker R, Ludwig M (2006) Design and implementation of a coordination model for distributed simulations. In: Tagungsband Modellierung 2006—Forschung & Praxis, 7. Fachtagung des Querschnittfachausschusses Modellierung in der Gesellschaft fur Informatik eV (GI), Lecture Notes in Informatics, Vol. P-82, Series of the Gesellschaft fur Informatik (GI). pp 83-97
18. Kneer JErnstA, Eisentraut R, Nethe M, Mauser W (2003) Interdisziplinare Modellbildung: Das Beispiel GLOWA-Danube. Umweltpsychologie 7(2):54-70
19. Lehn H, Steiner M, Mohr H (1996) Wasser—die elementare Ressource: Leitlinien einer nachhaltigen Nutzung. Veroffentlichungen der Akademie fur Technikfolgenabschatzung in Baden-Wurttemberg. Springer, Berlin
20. Ludwig R, Mauser W, Niemeyer S, Colgan A, Stolz R, Escher-Vetter H, Kuhn M, Reichstein M, Tenhunen J, Kraus A, Ludwig M, Barth M, Hennicker R (2003) Web-based modelling of 5 Using Spatially Explicit Marketing Data to Build Social Simulations energy, water and matter fluxes to support decision making in mesoscale catchments—the integrative perspective of GLOWA-Danube. Phys Chem Earth 28:621-634
21. Mauser W (2000) GLOWA-DANUBE—Integrative techniques, scenarios and strategies regarding global changes of the water cycle. Case study: Upper Danube catchment area. http://www. glowa-danube.de/publikationen/umbrellas/umbrella_2000.pdf. Accessed 20 July 2012
22. Microm (2012) Microm consumer marketing. http://www.microm-online.de/Deutsch/Microm/index.jsp. Accessed 20 July 2012
23. Railsback SF, Grimm V (2011) Agent-based and individual-based modeling: a practical introduction. Princeton University Press, Princeton, NJ
24. Scheele B, Groeben N (1988) Dialog-Konsens-Methoden zur Rekonstruktion subjektiver Theorien. Francke, Tubingen
25. Schwarz N, Ernst A (2006) Using empirical data to build an agent-based model of innovation diffusion. In: Proceedings of the workshop on agent-based models of market dynamics and consumer behaviour, Surrey, GB, 17-18 Jan 2006
26. Schwarz N, Ernst A (2008) Die Adoption von technischen Umweltinnovationen: Das Beispiel Trinkwasser. Umweltpsychologie 12(1):28-48
27. Schwarz N, Ernst A (2009) Agent-based modeling of the diffusion of environmental innovations— an empirical approach. Technol Forecast Soc Change 76(4):497-511
28. Seidl R (2009) Eine Multi-Agentensimulation der Wahrnehmung wasserbezogener Klimarisiken. Metropolis, Marburg
29. Seidl R, Ernst A (2008) Perception of climate change risks: a multi-agent simulation. J Psychol 43(3-4):249.
30. Sinus Sociovision (2006) Informationen zu den Sinus-Milieus 2004
31. Sinus Sociovision (2012) Sinus-Milieus. http://www.sinus-institut.de/en/. Accessed 20 July 2012
32. Slovic P (ed) (2000) The perception of risk. Earthscan Publications, London
33. Soboll A, Elbers M, Barthel R, Schmude J, Ernst A, Ziller R (2011) Integrated regional modelling and scenario development to evaluate future water demand under global change conditions. Mitig Adapt Strat Glob Change 16:477-498
34. Strathman A, Gleicher F, Boninger DS, Edwards CS (1994) The consideration of future consequences—weighing immediate and distant outcomes of behavior. J Pers Soc Psychol 66(4):742-752
35. Umweltbundesamt (2009) Umweltbewusstsein und Umweltverhalten der sozialen Milieus in Deutschland. Dessau-Rofilau
36. Watts D, Strogatz S (1998) Collective dynamics of ‘small world’ networks. Nature 393:440-442