@article{WolfSchroederNeumannetal., author = {Wolf, Ingo and Schr{\"o}der, Tobias and Neumann, Jochen and de Haan, Gerhard}, title = {Changing minds about electric cars}, series = {Technological Forecasting and Social Change}, journal = {Technological Forecasting and Social Change}, number = {94}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0040-1625}, doi = {10.1016/j.techfore.2014.10.010}, pages = {269 -- 285}, abstract = {The diffusion of electric vehicles (EVs) is considered an effective policy strategy to meet greenhouse gas reduction targets. For large-scale adoption, however, demand-side oriented policy measures are required, based on consumers' transport needs, values and social norms. We introduce an empirically grounded, spatially explicit, agent-based model, InnoMind (Innovation diffusion driven by changing Minds), to simulate the effects of policy interventions and social influence on consumers' transport mode preferences. The agents in this model represent individual consumers. They are calibrated based on empirically derived attributes and characteristics of survey respondents. We model agent decision-making with artificial neural networks that account for the role of emotions in information processing. We present simulations of 4 scenarios for the diffusion of EVs in the city of Berlin, Germany (3 policy scenarios and 1 base case). The results illustrate the varying effectiveness of measures in different market segments and the need for appropriate policies tailored to the heterogeneous needs of different travelers. Moreover, the simulations suggest that introducing an exclusive zone for EVs in the city would accelerate the early-phase diffusion of EVs more effectively than financial incentives only.}, subject = {Elektrofahrzeug}, language = {en} } @article{WolfSchroeder, author = {Wolf, Ingo and Schr{\"o}der, Tobias}, title = {Connotative meanings of sustainable mobility}, series = {Transportation Research Part A: Policy and Practice}, volume = {126}, journal = {Transportation Research Part A: Policy and Practice}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1879-2375}, doi = {10.1016/j.tra.2019.06.002}, pages = {259 -- 280}, abstract = {Changing people's travel behaviours and mode choices is an important mitigation option to reduce greenhouse gas emission in transport. Previous studies have shown that symbolic meanings associated with new low-emission vehicles and travel services influence people's willingness to adopt these innovations. However, little is known about the symbolic meanings of many upcoming transport innovations, which often influence habitual decision-making and their stratification within the population. This study thus examines cultural affective meanings of a broad range of conventional and novel transport mode options in a nationally representative German sample. Cluster analysis of affective meanings of travel modes identified six unique traveller segments. These consumer groups differ significantly in their intention to adopt low-emission travel modes and are characterized by specific psychographic, socio-demographic and behavioural profiles. The results demonstrate that affective meanings of choice options are predictive regarding the attitudes and (intended) behaviour of traveller segments. Moreover, the invariant positive meanings of conventional cars across segments indicate the strong cultural embeddedness of this mode in society. We discuss the implications of our approach for the development of government strategies for sustainable transport.}, subject = {Segmentierung}, language = {en} } @article{SchroederWolf, author = {Schr{\"o}der, Tobias and Wolf, Ingo}, title = {Modeling multi-level mechanisms of environmental attitudes and behaviours}, series = {Journal of Environmental Psychology}, volume = {52}, journal = {Journal of Environmental Psychology}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0272-4944}, doi = {10.1016/j.jenvp.2016.03.007}, pages = {136 -- 148}, abstract = {Psychological research practices are often prone to individualistic biases, emphasizing individual-level mechanisms of attitudes, behaviour, and persuasion, while neglecting the dynamics of communication in social networks. We illustrate with our InnoMind simulation model how agent-based modeling as a research method can account for the multi-level interactions between information processing in individual brains and flows of information in societies. InnoMind is based on theories of emotional cognition from cognitive science, theories of attitudes and persuasion from social psychology, and theories of social networks from sociology. In a case study, we show how the model can be used to address practical research questions in environmental psychology: We describe computer simulations with InnoMind that can serve as ex-ante evaluations of suitable campaign strategies for the promotion of carsharing as an innovative means of sustainable urban transportation. We discuss how empirical/experimental versus computational/theoretical research strategies in environmental psychology can and should be regarded as mutually informative.}, subject = {Nachhaltigkeit}, language = {en} } @inproceedings{WolfGortanaHerrmannetal., author = {Wolf, Ingo and Gortana, Flavio and Herrmann, Ivo and Thiele, Paul and Heidmann, Frank and Schr{\"o}der, Tobias}, title = {Drag-and-drop cognition}, abstract = {We present a newly developed graphical user interface, which allows researchers to create models of complex societal decision-making in a user-friendly manner without being required to program. The software tool is based on InnoMind, an agent-based model that implements theories of emotional cognition from cognitive science. We show the current work in progress and outline the near-term goals of the software development project.}, subject = {Benutzerschnittstelle}, language = {en} } @incollection{SchroederWolf, author = {Schr{\"o}der, Tobias and Wolf, Ingo}, title = {Psychologische Aspekte nachhaltiger Mobilit{\"a}t}, series = {Psychologie und Nachhaltigkeit}, booktitle = {Psychologie und Nachhaltigkeit}, editor = {Schmitt, Claudia Thea and Bamberg, Eva}, publisher = {Springer Gabler}, address = {Wiesbaden}, isbn = {978-3-658-19964-7}, doi = {10.1007/978-3-658-19965-4_17}, publisher = {Fachhochschule Potsdam}, pages = {203 -- 213}, abstract = {Technologische und soziale Innovationen scheinen derzeit viele Perspektiven f{\"u}r eine Transformation des Mobilit{\"a}tssektors hin zu mehr Nachhaltigkeit zu er{\"o}ffnen. Ob und wie sich das menschliche Mobilit{\"a}tsverhalten den neuen M{\"o}glichkeiten anpasst, ist allerdings eine offene Frage, die psychologischer Forschung bedarf. Wir stellen in unserem Beitrag eine neue Theorie der Mobilit{\"a}tseinstellungen vor, die Ans{\"a}tze zur emotionalen Koh{\"a}renz menschlicher Entscheidungen aus der Kognitionswissenschaft mit soziologischen Theorien der Informationsdiffusion in sozialen Netzwerken kombiniert. Daten aus einer aktuellen, groß angelegten empirischen Studie zeigen, dass die emotionale Verankerung des Autos mit Verbrennungsmotor im individuellen Privatbesitz immer noch groß ist. F{\"u}r die erfolgreiche Verbreitung innovativer und nachhaltiger Mobilit{\"a}tskonzepte in der Gesellschaft wird entscheidend sein, ob neben technologischen Entwicklungen auch eine breite Transformation von Einstellungen in der Bev{\"o}lkerung erreicht werden kann.}, subject = {Nachhaltigkeit}, language = {de} } @incollection{JungMorganHoeyetal., author = {Jung, Joshua and Morgan, Jonathan and Hoey, Jesse and Schr{\"o}der, Tobias and Wolf, Ingo}, title = {Grounding social interaction with affective intelligence}, series = {Advances in Artificial Intelligence : 29th Canadian Conference on Artificial Intelligence, Canadian AI 2016, Victoria, BC, Canada, May 31 - June 3, 2016. Proceedings}, booktitle = {Advances in Artificial Intelligence : 29th Canadian Conference on Artificial Intelligence, Canadian AI 2016, Victoria, BC, Canada, May 31 - June 3, 2016. Proceedings}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-34111-8}, doi = {10.1007/978-3-319-34111-8_7}, pages = {52 -- 57}, subject = {K{\"u}nstliche Intelligenz}, language = {en} }