Abstract
In recent years, most European governments have clearly stated their aims to promote the production and sale of electrical vehicles (EVs), which are seen to be an environmentally-friendly means of transport. At the beginning of 2018, the Polish government introduced legislation to promote the diffusion of electric vehicles. In conjunction with this, the authors present some preliminary work on a major study on the diffusion of EVs on the Polish market. This project aims to simulate the behaviour of the market using an agent-based model, which will be based on the results of a survey carried out among the purchasers of new cars in two major Polish cities, Wrocław and Katowice. Agent-based models allow the decision of agents to be affected by interactions with neighbours. The diffusion of EVs in Poland is at its very beginning, but according to experts the perspectives for further market development are promising. This article describes some of the basic factors behind a household’s decision to buy an EV. A simple model is presented, together with a discussion of how such a model will be adapted to take into account the results from the study.
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References
Al-Alawi, B.M., Bradley, T.H.: Review of hybrid, plug-in hybrid and electric vehicle market modeling studies. Renew. Sustain. Energy Rev. 21, 190–203 (2013)
Axsen, J., Langman, B., Goldberg, S.: Confusion of innovations: mainstream consumer perceptions and misperceptions of electric-drive vehicles and charging programs in Canada. Energy Res. Soc. Sci. 27, 163–173 (2017)
Axsen, J., Wolinetz, M.: How policy can build the plug-in electric vehicle market: Insights from the respondent-based preference and constraints (REPAC) model. Technol. Forecast. Soc. Change 117, 238–250 (2017)
Axsen, J., TyreeHaheman, J., Lentz, A.: Lifestyle practices and pro-environmental technology. Ecol. Econ. 82, 64–74 (2012)
Bond, T.G., Fox, C.M.: Applying the rasch model: fundamental measurement in the human sciences. Routledge, Oxford (2001)
Chmiel, A., Sznajd-Weron, K.: Phase transitions in the q-voter model with noise on a duplex clique. Phys. Rev. E 92, 052812 (2015)
Cho, Y., Blommestein, K.V.: Investigating the adoption of electric vehicles using agent-based model. In: Portland International Conference on Management of Engineering and Technology (PICMET), pp. 2337–2345, September 2015
Daina, N., Sivakumar, A., Polak, J.W.: Modelling electric vehicles use: a survey on the methods. Renew. Sustain. Energy Rev. 68, 447–460 (2017)
Dallinger, D., Schubert, G., Wietschel, M.: Integration of intermittent renewable power supply using grid connected vehicles - a 2030 case study for California and Germany. Appl. Energy 104, 666–682 (2013)
Deffuant, G., Neau, D., Amblard, F., Weisbuch, G.: Mixing beliefs among interacting agents. Adv. Complex Syst. 3, 87–98 (2001)
Eppstein, M.J., Grover, D.K., Marshall, J.S., Rizzo, D.M.: An agent-based model to study market penetration of plug-in hybrid electric vehicles. Energy Policy 39, 3789–3802 (2011)
Epstein J.M.: Modelling to contain pandemics. Nature 406(9) (2009)
Figenbaum, E., Kolbenstvedt, M.: Electromobility in Norway - experiences and opportunities with Electric vehicles. Institute of Transport Economics, Oslo (2013). https://www.toi.no/publications/electromobility-in-norway-experiences-and-opportunities-with-electric-vehicles-article32104-29.html. Accessed 12 Dec 2017
Gnann, T., Ploetz, P.: A review of combined models for market diffusion of alternative fuel vehicles and their refueling infrastructure. Renew. Sustain. Energy Rev. 47, 783–793 (2015)
Hegselmann, R., Krause, U.: Opinion dynamics and bounded confidence. models, analysis and simulation. J. Artif. Soc. Soc. Simul. 5(3), 1–33 (2002)
Karakaya, E., Hidalgo, A., Nuur, C.: Diffusion of eco-innovations: a review. Renew. Sustain. Energy Rev. 33, 1935–1943 (2014)
Kiesling, E., Guenther, M., Stummer, C., Wakolbinger, L.M.: Agent-based simulation of innovation diffusion: a review. Central Eur. J. Oper. Res. 20(2), 183–230 (2012)
Kowalska-Pyzalska, A.: What makes consumers adopt to innovative energy services in the energy market? a review of incentives and barriers. Renew. Sustain. Energy Rev. 82(3), 3570–3581 (2018)
Kowalska-Pyzalska, A.: Determinants of green electricity adoption among residential consumers in Poland: an empirical analysis. In: Proceedings of 15th International Conference on the European Energy Market, Lodz, Poland (2018, in review)
Levay, P.Z., Drossinos, Y., Thiel, C.: The effect of fiscal incentives on market penetration of electric vehicles: a pairwise comparison of total cost of ownership. Energy Policy 105, 524–533 (2017)
McCoy, D., Lyons, S.: Consumer preferences and the influence of networks in electric vehicle diffusion: an agent-based microsimulation in ireland. Energy Res. Soc. Sci. 3, 89–101 (2014)
Melton, N., Axsen, J., Goldberg, S.: Evaluating plug-in electric vehicle policies in the context of long-term greenhouse gas reduction goals: comparing 10 Canadian provinces using the “PEV policy report card". Energy Policy 107, 381–393 (2017)
Micari, S., Napoli, G., Antonucci, V., Andaloro, L.: Electric vehicles charging stations network - a preliminary evaluation about Italian highways. In: 2014 IEEE International Electric Vehicle Conference, IEVC (2014)
Ploetz, P., Gnann, T., Wietschel, M.: Modelling market diffusion of electric vehicles with real world driving data - Part I: model structure and validation. Ecol. Econ. 107, 411–421 (2014)
Pfahl, S., Jochem, P., Fichtner, W.: When will electric vehicles capture the German market? and why? World Electric Vehicle Symposium and Exhibition EVS (2014)
Peters, A., Duetschke, E.: How do consumers perceive electric vehicles? a comparison of German consumer groups. J. Environ. Policy Plann. 16(3), 359–377 (2014)
Pettifor, H., Wilson, C., Axsen, J., Abrahamse, W., Anable, J.: Social influence in the global diffusion of alternative fuel vehicles - a meta-analysis. J. Transp. Geogr. 62, 247–261 (2017)
Ringler, P., Keles, D., Fichtner, W.: Agent-based modeling and simulation of smart electricity grids and markets - a literature review. Renew. Sustain. Energy Rev. 57, 205–2015 (2016)
Rogers, E.M.: Diffusion of Innovations, 5th edn. Free Press, New York (2003)
Simpson, A.: Environmental attributes of electric vehicles in Australia (CUSP Discussion Paper. Curtin University Sustainable Policy Institute, Perth, Australia. www.sustainability.com/au/renewabletransport (2009)
Sopha, B.M., Kloeckner, C.A., Hertiwch, E.G.: Exploring policy options for a transaction to sustainable heating system diffusion using agent-based simulation. Energy Policy 39, 2722–2729 (2011)
Sopha, B.M., Kloeckner, C.A., Febrianti, D.: Using agent-based modeling to explore policy options supporting adoption of natural vehicles in Indonesia. J. Environ. Policy 52, 1–16 (2016)
Shafiei, E., Thorkelsson, H., Àsgeirsson, E.I., Raberto, M., Stefansson, H.: An agent-based modeling approach to predict the evolution of market share of electric vehicles: a case study from Iceland. Technol. Forecast. Soc. Change 79(9), 1638–1653 (2012)
Stummer, C., Kiesling, E., Guenther, M., Vetschera, R.: Innovation diffusion of repeat purchase products in a competitive market: an agent-based simulation approach. Eur. J. Oper. Res. 245, 157–167 (2015)
Sznajd-Weron, K., Szwabiński, J., Weron, R., Weron, T.: Rewiring the network. what helps an innovation to diffuse? J. Stat. Mech. 3, P03007 (2014)
Tran, M., Banister, D., Bishop, J.D.K., McCulloch, M.D.: Simulating early adoption of alternative fuel vehicles for sustainability. Technol. Forecast. Soc. Change 80(5), 865–875 (2013)
Tran, M., Brand, C., Banister, D.: Modelling diffusion feedbacks between technology performance, cost and consumer behaviour for future energy-transport systems. J. Power Sources 251, 130–136 (2014)
Ventosa, M., Baillo, A., Ramos, A., Rivier, M.: Electricity market modeling trends. Energy Policy 33(7), 897–913 (2005)
Wolf, I., Schröder, T., Neumann, J., de Haan, G.: Changing minds about electric cars: an empirically grounded agent-based modeling approach. Technol. Forecast. Soc. Change 94, 269–285 (2015)
Zhang, T., Gensler, S., Garcia, R.: A study of the diffusion of alternative fuel vehicles: an agent-based modeling approach. J. Prov. Innov. Manag. 28, 152–168 (2011)
Business Insider Polska (in Polish). https://businessinsider.com.pl/technologie/nowe-technologie/ustawa-o-elektromobilnosci-przyjeta-przez-rzad/fh77nd9. Accessed 12 Jan 2018
Alternative Fuel Observatory (in Polish). http://www.orpa.pl/temat/badania/. Accessed 16 Jan 2018
UBS Evidence Lab, Global Research: UBS Evidence Lab Electric Car Teardown - Disruption Ahead? Q-Series, 18 May 2017. Accessed 16 Jan 2018
European Automobile Manufacturers Association. http://www.acea.be/statistics/tag/category/passenger-cars-registrations. Accessed 16 Nov 2017
Institute of Citizens Affairs (in Polish). https://inspro.org.pl/tag/lepszytransport/. Accessed 16 Nov 2017
The World Bank. http://documents.worldbank.org/curated/en/238041467986275608/Reducing-Greenhouse-Gases-GHG-analysis-in-transport. Accessed 16 Nov 2017
Acknowledgement
This work was supported by the Ministry of Science and Higher Education (MNiSW, Poland) core funding for statutory R&D activities.
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Ramsey, D.M., Kowalska-Pyzalska, A., Bienias, K. (2018). Diffusion of Electric Vehicles: An Agent-Based Modelling Approach. In: Nguyen, N., Kowalczyk, R., Mercik, J., Motylska-Kuźma, A. (eds) Transactions on Computational Collective Intelligence XXXI. Lecture Notes in Computer Science(), vol 11290. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-58464-4_11
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