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An agent-based modeling approach to predict the evolution of market share of electric vehicles: A case study from Iceland

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  1. Peng, Yuan & Bai, Xuemei, 2023. "What EV users say about policy efficacy: Evidence from Shanghai," Transport Policy, Elsevier, vol. 132(C), pages 16-26.
  2. Zhao, Xingrong & Ma, Ye & Shao, Shuai & Ma, Tieju, 2022. "What determines consumers' acceptance of electric vehicles: A survey in Shanghai, China," Energy Economics, Elsevier, vol. 108(C).
  3. Gnann, Till & Stephens, Thomas S. & Lin, Zhenhong & Plötz, Patrick & Liu, Changzheng & Brokate, Jens, 2018. "What drives the market for plug-in electric vehicles? - A review of international PEV market diffusion models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 158-164.
  4. Breschi, Valentina & Ravazzi, Chiara & Strada, Silvia & Dabbene, Fabrizio & Tanelli, Mara, 2023. "Driving electric vehicles’ mass adoption: An architecture for the design of human-centric policies to meet climate and societal goals," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
  5. Constanze Ciavarella & Neil M Ferguson, 2021. "Deriving fine-scale models of human mobility from aggregated origin-destination flow data," PLOS Computational Biology, Public Library of Science, vol. 17(2), pages 1-18, February.
  6. Zhang, Qi & Li, Hailong & Zhu, Lijing & Campana, Pietro Elia & Lu, Huihui & Wallin, Fredrik & Sun, Qie, 2018. "Factors influencing the economics of public charging infrastructures for EV – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 500-509.
  7. Krause, Jette & Thiel, Christian & Tsokolis, Dimitrios & Samaras, Zissis & Rota, Christian & Ward, Andy & Prenninger, Peter & Coosemans, Thierry & Neugebauer, Stephan & Verhoeve, Wim, 2020. "EU road vehicle energy consumption and CO2 emissions by 2050 – Expert-based scenarios," Energy Policy, Elsevier, vol. 138(C).
  8. Alderete Peralta, Ali & Balta-Ozkan, Nazmiye & Longhurst, Philip, 2022. "Spatio-temporal modelling of solar photovoltaic adoption: An integrated neural networks and agent-based modelling approach," Applied Energy, Elsevier, vol. 305(C).
  9. Gu, Xiaoyu & Ieromonachou, Petros & Zhou, Li, 2019. "Subsidising an electric vehicle supply chain with imperfect information," International Journal of Production Economics, Elsevier, vol. 211(C), pages 82-97.
  10. Peng, Ruoqing & Tang, Justin Hayse Chiwing G. & Yang, Xiong & Meng, Meng & Zhang, Jie & Zhuge, Chengxiang, 2024. "Investigating the factors influencing the electric vehicle market share: A comparative study of the European Union and United States," Applied Energy, Elsevier, vol. 355(C).
  11. Shafiei, Ehsan & Davidsdottir, Brynhildur & Leaver, Jonathan & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi & Keith, David R., 2016. "Analysis of supply-push strategies governing the transition to biofuel vehicles in a market-oriented renewable energy system," Energy, Elsevier, vol. 94(C), pages 409-421.
  12. Liu, Junbei & Zhuge, Chengxiang & Tang, Justin Hayse Chiwing G. & Meng, Meng & Zhang, Jie, 2022. "A spatial agent-based joint model of electric vehicle and vehicle-to-grid adoption: A case of Beijing," Applied Energy, Elsevier, vol. 310(C).
  13. Sierzchula, William & Bakker, Sjoerd & Maat, Kees & van Wee, Bert, 2014. "The influence of financial incentives and other socio-economic factors on electric vehicle adoption," Energy Policy, Elsevier, vol. 68(C), pages 183-194.
  14. Tchetchik, Anat & Zvi, Liat I. & Kaplan, Sigal & Blass, Vered, 2020. "The joint effects of driving hedonism and trialability on the choice between internal combustion engine, hybrid, and electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
  15. Zhuge, Chengxiang & Wei, Binru & Shao, Chunfu & Shan, Yuli & Dong, Chunjiao, 2020. "The role of the license plate lottery policy in the adoption of Electric Vehicles: A case study of Beijing," Energy Policy, Elsevier, vol. 139(C).
  16. Pettifor, H. & Wilson, C. & Axsen, J. & Abrahamse, W. & Anable, J., 2017. "Social influence in the global diffusion of alternative fuel vehicles – A meta-analysis," Journal of Transport Geography, Elsevier, vol. 62(C), pages 247-261.
  17. Huotari, Pontus & Järvi, Kati & Kortelainen, Samuli & Huhtamäki, Jukka, 2017. "Winner does not take all: Selective attention and local bias in platform-based markets," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 313-326.
  18. Shafiei, Ehsan & Davidsdottir, Brynhildur & Fazeli, Reza & Leaver, Jonathan & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi, 2018. "Macroeconomic effects of fiscal incentives to promote electric vehicles in Iceland: Implications for government and consumer costs," Energy Policy, Elsevier, vol. 114(C), pages 431-443.
  19. Al-Alawi, Baha M. & Bradley, Thomas H., 2013. "Review of hybrid, plug-in hybrid, and electric vehicle market modeling Studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 190-203.
  20. Shafiei, Ehsan & Davidsdottir, Brynhildur & Leaver, Jonathan & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi, 2015. "Comparative analysis of hydrogen, biofuels and electricity transitional pathways to sustainable transport in a renewable-based energy system," Energy, Elsevier, vol. 83(C), pages 614-627.
  21. Goodwin, Paul & Meeran, Sheik & Dyussekeneva, Karima, 2014. "The challenges of pre-launch forecasting of adoption time series for new durable products," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1082-1097.
  22. Sun, Huiqian & Jing, Peng & Wang, Baihui & Cai, Yunhao & Ye, Jie & Wang, Bichen, 2023. "The effect of record-high gasoline prices on the consumers’ new energy vehicle purchase intention: Evidence from the uniform experimental design," Energy Policy, Elsevier, vol. 175(C).
  23. Adepetu, Adedamola & Keshav, Srinivasan & Arya, Vijay, 2016. "An agent-based electric vehicle ecosystem model: San Francisco case study," Transport Policy, Elsevier, vol. 46(C), pages 109-122.
  24. Wolf, Ingo & Schröder, Tobias & Neumann, Jochen & de Haan, Gerhard, 2015. "Changing minds about electric cars: An empirically grounded agent-based modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 269-285.
  25. Su, Chi Wei & Shao, Xuefeng & Jia, Zhijie & Nepal, Rabindra & Umar, Muhammad & Qin, Meng, 2023. "The rise of green energy metal: Could lithium threaten the status of oil?," Energy Economics, Elsevier, vol. 121(C).
  26. Scheller, Fabian & Johanning, Simon & Bruckner, Thomas, 2018. "IRPsim: A techno-socio-economic energy system model vision for business strategy assessment at municipal level," Contributions of the Institute for Infrastructure and Resources Management 02/2018, University of Leipzig, Institute for Infrastructure and Resources Management.
  27. Harrison, Gillian & Thiel, Christian, 2017. "An exploratory policy analysis of electric vehicle sales competition and sensitivity to infrastructure in Europe," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 165-178.
  28. Silvia, Chris & Krause, Rachel M., 2016. "Assessing the impact of policy interventions on the adoption of plug-in electric vehicles: An agent-based model," Energy Policy, Elsevier, vol. 96(C), pages 105-118.
  29. Nie, Yu (Marco) & Ghamami, Mehrnaz & Zockaie, Ali & Xiao, Feng, 2016. "Optimization of incentive polices for plug-in electric vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 103-123.
  30. Mehdizadeh, Milad & Nordfjaern, Trond & Klöckner, Christian A., 2022. "A systematic review of the agent-based modelling/simulation paradigm in mobility transition," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
  31. Mo Chen & Rudy X. J. Liu & Chaochao Liu, 2021. "How to Improve the Market Penetration of New Energy Vehicles in China: An Agent-Based Model with a Three-Level Variables Structure," Sustainability, MDPI, vol. 13(21), pages 1-17, November.
  32. Krupa, Joseph S. & Rizzo, Donna M. & Eppstein, Margaret J. & Brad Lanute, D. & Gaalema, Diann E. & Lakkaraju, Kiran & Warrender, Christina E., 2014. "Analysis of a consumer survey on plug-in hybrid electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 14-31.
  33. Shafiei, Ehsan & Davidsdottir, Brynhildur & Leaver, Jonathan & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi, 2014. "Potential impact of transition to a low-carbon transport system in Iceland," Energy Policy, Elsevier, vol. 69(C), pages 127-142.
  34. Yongchao Zeng & Peiwu Dong & Yingying Shi & Yang Li, 2018. "On the Disruptive Innovation Strategy of Renewable Energy Technology Diffusion: An Agent-Based Model," Energies, MDPI, vol. 11(11), pages 1-21, November.
  35. Wolbertus, Rick & van den Hoed, Robert & Kroesen, Maarten & Chorus, Caspar, 2021. "Charging infrastructure roll-out strategies for large scale introduction of electric vehicles in urban areas: An agent-based simulation study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 262-285.
  36. Gnann, Till & Plötz, Patrick & Kühn, André & Wietschel, Martin, 2015. "Modelling market diffusion of electric vehicles with real world driving data – German market and policy options," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 95-112.
  37. Kowalska-Pyzalska, Anna & Kott, Joanna & Kott, Marek, 2020. "Why Polish market of alternative fuel vehicles (AFVs) is the smallest in Europe? SWOT analysis of opportunities and threats," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
  38. Hidetada Higashi, 2017. "Does " Driving Range " really matter?," Working Papers hal-01670912, HAL.
  39. Seiho Kim & Jaesik Lee & Chulung Lee, 2017. "Does Driving Range of Electric Vehicles Influence Electric Vehicle Adoption?," Sustainability, MDPI, vol. 9(10), pages 1-15, October.
  40. Wang, Kai-Hua & Su, Chi-Wei & Xiao, Yidong & Liu, Lu, 2022. "Is the oil price a barometer of China's automobile market? From a wavelet-based quantile-on-quantile regression perspective," Energy, Elsevier, vol. 240(C).
  41. Adedamola Adepetu & Srinivasan Keshav, 2017. "The relative importance of price and driving range on electric vehicle adoption: Los Angeles case study," Transportation, Springer, vol. 44(2), pages 353-373, March.
  42. Melton, Noel & Axsen, Jonn & Goldberg, Suzanne, 2017. "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, Elsevier, vol. 107(C), pages 381-393.
  43. Boateng, Mark K. & Awuah-Offei, Kwame, 2017. "Agent-based modeling framework for modeling the effect of information diffusion on community acceptance of mining," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 1-11.
  44. Florian Kuhnlenz & Pedro H. J. Nardelli, 2016. "Agent-based Model for Spot and Balancing Electricity Markets," Papers 1612.04512, arXiv.org.
  45. Nugroho, Rizqi Ilma & Gnann, Till & Speth, Daniel & Purwanto, Widodo Wahyu & Hanafi, Jessica & Soehodho, Sutanto, 2024. "Agent-based simulation for market diffusion of passenger cars and motorcycles BEV in Greater Jakarta Area," Working Papers "Sustainability and Innovation" S05/2024, Fraunhofer Institute for Systems and Innovation Research (ISI).
  46. Ranjit R. Desai & Eric Hittinger & Eric Williams, 2022. "Interaction of Consumer Heterogeneity and Technological Progress in the US Electric Vehicle Market," Energies, MDPI, vol. 15(13), pages 1-25, June.
  47. Chappin, Emile J.L. & Schleich, Joachim & Guetlein, Marie-Charlotte & Faure, Corinne & Bouwmans, Ivo, 2022. "Linking of a multi-country discrete choice experiment and an agent-based model to simulate the diffusion of smart thermostats," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
  48. Azadeh Ahkamiraad & Yong Wang, 2018. "An Agent-Based Model for Zip-Code Level Diffusion of Electric Vehicles and Electricity Consumption in New York City," Energies, MDPI, vol. 11(3), pages 1-17, March.
  49. Bahamonde-Birke, Francisco J. & Hanappi, Tibor, 2016. "The potential of electromobility in Austria: Evidence from hybrid choice models under the presence of unreported information," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 30-41.
  50. Falcão, Eduardo Aparecido Moreira & Teixeira, Ana Carolina Rodrigues & Sodré, José Ricardo, 2017. "Analysis of CO2 emissions and techno-economic feasibility of an electric commercial vehicle," Applied Energy, Elsevier, vol. 193(C), pages 297-307.
  51. Noori, Mehdi & Zhao, Yang & Onat, Nuri C. & Gardner, Stephanie & Tatari, Omer, 2016. "Light-duty electric vehicles to improve the integrity of the electricity grid through Vehicle-to-Grid technology: Analysis of regional net revenue and emissions savings," Applied Energy, Elsevier, vol. 168(C), pages 146-158.
  52. Karsten Kieckhäfer & Thomas Volling & Thomas Stefan Spengler, 2014. "A Hybrid Simulation Approach for Estimating the Market Share Evolution of Electric Vehicles," Transportation Science, INFORMS, vol. 48(4), pages 651-670, November.
  53. Francisco J. Bahamonde-Birke & Tibor Hanappi, 2015. "The Potential of Electromobility in Austria: An Analysis Based on Hybrid Choice Models," Discussion Papers of DIW Berlin 1472, DIW Berlin, German Institute for Economic Research.
  54. Esteban Lopez-Arboleda & Alfonso T. Sarmiento & Laura M. Cardenas, 2021. "Systemic approach for integration of sustainability in evaluation of public policies for adoption of electric vehicles," Systemic Practice and Action Research, Springer, vol. 34(4), pages 399-417, August.
  55. Utomo, D.S. & Gripton, A. & Greening, P., 2021. "Analysing charging strategies for electric LGV in grocery delivery operation using agent-based modelling: An initial case study in the United Kingdom," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
  56. Tobias Buchmann & Patrick Wolf & Stefan Fidaschek, 2021. "Stimulating E-Mobility Diffusion in Germany (EMOSIM): An Agent-Based Simulation Approach," Energies, MDPI, vol. 14(3), pages 1-25, January.
  57. Qiwei Xu & Jianshu Huang & Yue Han & Yun Yang & Lingyan Luo, 2020. "A Study on Electric Vehicles Participating in the Load Regulation of Urban Complexes," Energies, MDPI, vol. 13(11), pages 1-23, June.
  58. Francesco Pasimeni & Tommaso Ciarli, 2018. "Diffusion of Shared Goods in Consumer Coalitions. An Agent-Based Model," SPRU Working Paper Series 2018-24, SPRU - Science Policy Research Unit, University of Sussex Business School.
  59. Francesco Pasimeni, 2019. "Community-Based Adoption and Diffusion of Micro-Grids: Analysis of the Italian Case with Agent-Based Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 22(1), pages 1-11.
  60. Riesz, Jenny & Sotiriadis, Claire & Ambach, Daisy & Donovan, Stuart, 2016. "Quantifying the costs of a rapid transition to electric vehicles," Applied Energy, Elsevier, vol. 180(C), pages 287-300.
  61. Noori, Mehdi & Tatari, Omer, 2016. "Development of an agent-based model for regional market penetration projections of electric vehicles in the United States," Energy, Elsevier, vol. 96(C), pages 215-230.
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  63. Querini, Florent & Benetto, Enrico, 2014. "Agent-based modelling for assessing hybrid and electric cars deployment policies in Luxembourg and Lorraine," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 149-161.
  64. Francesco Pasimeni, 2017. "Adoption and Diffusion of Micro-Grids in Italy. An Analysis of Regional Factors Using Agent-Based Modelling," SPRU Working Paper Series 2017-09, SPRU - Science Policy Research Unit, University of Sussex Business School.
  65. Huth, Christian & Kieckhäfer, Karsten & Spengler, Thomas Stefan, 2015. "Make-or-buy strategies for electric vehicle batteries—a simulation-based analysis," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 22-34.
  66. Wolinetz, Michael & Axsen, Jonn, 2017. "How policy can build the plug-in electric vehicle market: Insights from the REspondent-based Preference And Constraints (REPAC) model," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 238-250.
  67. Zhu, Lin & Cunningham, Scott W., 2022. "Unveiling the knowledge structure of technological forecasting and social change (1969–2020) through an NMF-based hierarchical topic model," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
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