An agent-based simulation using conjoint data : the case of electric vehicles in Germany

Publikationstyp
Conference Paper
Publikationsdatum
2018
Sprache
English
Author
Günther, Markus 
Klein, Marvin 
Lüpke, Lars 
Herausgeber*innen
Kliewer, Natalia 
Ehmke, Jan Fabian 
Borndörfer, Ralf 
TORE-URI
http://hdl.handle.net/11420/10835
Start Page
595
End Page
601
Citation
Operations research proceedings 2017, Annual International Conference of the German Operations Research Society (GOR), Freie Universität Berlin, Germany, September 6-8, 2017. - Cham, 2018. - Seite 595-601
Contribution to Conference
Annual International Conference of the German Operations Research Society, GOR 2017 
Publisher DOI
10.1007/978-3-319-89920-6_79
Publisher Link
https://pub.uni-bielefeld.de/record/2917459
Publisher
Springer
Peer Reviewed
true
Agent-based models are currently in wide use in innovation and technology diffusion research, as they are able to capture the inherent complexity arising from adoption processes and they allow the consideration of various influences of the underlying social systems. While they are sometimes criticized as “toy models”, agent-based models often do not reach their full potential if they lack an empirical foundation. Therefore, we present an agent-based simulation that addresses consumers’ adoption behavior of electric and plug-in hybrid electric vehicles in Germany using various empirical data sources for parametrization and validation. In particular, we conducted a focus group and a choice-based conjoint study. Additionally, our model is to our knowledge the first that takes into account explicitly and comprehensively the supply of home charging options.
DDC Class
330: Wirtschaft