- Abar, S.; Theodoropoulos, G.K.; Lemarinier, P.; OâHare, G. Agent Based Modelling and Simulation tools: A review of the state-of-art software. Comput. Sci. Rev. 2017, 24, 13â33. [CrossRef]
Paper not yet in RePEc: Add citation now
Ajanovic, A.; Haas, R. Dissemination of electric vehicles in urban areas: Major factors for success. Energy 2016, 115, 1451â1458. [CrossRef]
Al-Alawi, B.M.; Bradley, T.H. Review of hybrid, plug-in hybrid, and electric vehicle market modeling studies. Renew. Sustain. Energy Rev. 2013, 21, 190â203. [CrossRef]
Antonini, G.; Bierlaire, M.; Weber, M. Discrete choice models of pedestrian walking behavior. Transp. Res. Part B Methodol. 2006, 40, 667â687. [CrossRef]
- Cohen, E.; Goodman, S.; Cohen, E. Applying best-worst scaling to wine marketing. Int. J. Wine Bus. Res. 2009, 21, 8â23. [CrossRef]
Paper not yet in RePEc: Add citation now
- Cui, X.; Kim, H.K.; Liu, C.; Kao, S.C.; Bhaduri, B.L. Simulating the household plug-in hybrid electric vehicle distribution and its electric dis-tribution network impacts. Transp. Res. Part D-Transp. Environ. 2012, 17, 548â554. [CrossRef]
Paper not yet in RePEc: Add citation now
- Delre, S.A.; Jager, W.; Bijmolt, T.H.; Janssen, M.A. Will it spread or not? The effects of social influences and network topology on innovation diffusion. J. Prod. Innov. Manag. 2010, 27, 267â282. [CrossRef]
Paper not yet in RePEc: Add citation now
Eppstein, M.J.; Grover, D.K.; Marshall, J.S.; Rizzo, D.M. An agent-based model to study market penetration of plug-in hybrid elec-tric vehicles. Energy Policy 2011, 39, 3789â3802. [CrossRef]
- Galati, A.; Giacomarra, M.; Concialdi, P.; Crescimanno, M. Exploring the feasibility of introducing electric freight vehicles in the short food supply chain: A multi-stakeholder approach. Case Stud. Transp. Policy 2021, 9, 950â957. [CrossRef]
Paper not yet in RePEc: Add citation now
Giacomarra, M.; Tulone, A.; Crescimanno, M.; Galati, A. Electric mobility in the Sicilian short food supply chain. Stud. Agric. Econ. 2019, 121, 84â93. [CrossRef]
- Hesselink, L.X.W.; Chappin, E.J.L. Adoption of energy efficient technologies by householdsâBarriers, policies and agent-based modelling studies. Renew. Sustain. Energy Rev. 2019, 99, 29â41. [CrossRef]
Paper not yet in RePEc: Add citation now
- Kangur, A.; Jager, W.; Verbrugge, R.; Bockarjova, M. An agent-based model for diffusion of electric vehicles. J. Environ. Psychol. 2017, 52, 166â182. [CrossRef]
Paper not yet in RePEc: Add citation now
- Kim, H.M.; Rideout, D.G.; Papalambros, P.Y.; Stein, J.L. Analytical target cascading in automotive vehicle design. J. Mech. Des. 2003, 125, 481â489. [CrossRef]
Paper not yet in RePEc: Add citation now
- Krause, R.M.; Lane, B.W.; Carley, S.; Graham, J.D. demand by urban consumers for plug-in electric vehicles under future cost and technological scenarios. Int. J. Sustain. Transp. 2016, 10, 742â751. [CrossRef]
Paper not yet in RePEc: Add citation now
Langbroek JH, M.; Franklin, J.P.; Susilo, Y.O. The effect of policy incentives on electric vehicle adoption. Energy Policy 2016, 94, 94â103. [CrossRef]
- Lim, W.M. A blueprint for sustainability marketing: Defining its conceptual boundaries for progress. Mark. Theory 2016, 16, 232â249. [CrossRef]
Paper not yet in RePEc: Add citation now
- Lim, W.M. Inside the sustainable consumption theoretical toolbox: Critical concepts for sustainability, consumption, and marketing. J. Bus. Res. 2017, 78, 69â80. [CrossRef]
Paper not yet in RePEc: Add citation now
Liu, D.; Xiao, B. Exploring the development of electric vehicles under policy incentives: A scenario-based system dynamics model. Energy Policy 2018, 120, 8â23. [CrossRef]
Ma, S.C.; Fan, Y.; Feng, L. An evaluation of government incentives for new energy vehicles in China focusing on vehicle purchasing restrictions. Energy Policy 2017, 110, 609â618. [CrossRef]
- Martinez, L.M.; Viegas, J.M. Assessing the impacts of deploying a shared self-driving urban mobility system: An agent-based model applied to the city of Lisbon, Portugal. Int. J. Transp. Sci. Technol. 2017, 6, 13â27. [CrossRef]
Paper not yet in RePEc: Add citation now
- 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. 2014, 3, 89â101. [CrossRef]
Paper not yet in RePEc: Add citation now
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 âPEV policy report cardâ. Energy Policy 2017, 107, 381â393. [CrossRef] Sustainability 2021, 13, 12307 17 of 17
- Michalek, J.J.; Papalambros, P.Y. An efficient weighting update method to achieve acceptable consistency deviation in analytical target cascading. J. Mech. Des. 2005, 127, 206â214. [CrossRef]
Paper not yet in RePEc: Add citation now
Noori, M.; Tatari, O. Development of an agent-based model for regional market penetration projections of electric vehicles in the United States. Energy 2016, 96, 215â230. [CrossRef]
Shafiei, E.; Thorkelsson, H.; sgeirsson, E.I.; Davidsdottir, B.; 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. Chang. 2012, 79, 1638â1653. [CrossRef]
Silvia, C.; Krause, R.M. Assessing the impact of policy interventions on the adoption of plug-in electric vehicles: An agent-based model. Energy Policy 2016, 96, 105â118. [CrossRef]
- Spangher, L.; Gorman, W.; Bauer, G.; Xu, Y.; Atkinson, C. Quantifying the impact of U.S. electric vehicle sales on light-duty vehicle fleet CO2 emissions using a novel agent-based simulation. Transp. Res. Part D-Transp. Environ. 2019, 72, 358â377. [CrossRef]
Paper not yet in RePEc: Add citation now
- Sullivan, J.L.; Salmeen, I.; Simon, C. PHEV Marketplace Penetration: An Agent Based Simulation; University of Michigan, Ann Arbor, Transportation Research Institute: Ann Arborm, MI, USA, 2009.
Paper not yet in RePEc: Add citation now
- Tyner, E.H.; Boyer, T.A. Applying best-worst scaling to rank ecosystem and economic benefits of restoration and conservation in the Great Lakes. J. Environ. Manag. 2020, 255, 109888. [CrossRef]
Paper not yet in RePEc: Add citation now
Wang, L.; Fu, Z.L.; Guo, W.; Liang, R.Y.; Shao, H.Y. What influences sales market of new energy vehicles in China? Empirical study based on survey of consumersâ purchase reasons. Energy Policy 2020, 142, 111484. [CrossRef]
Wolinetz, M.; Axsen, J. How policy can build the plug-in electric vehicle market: Insights from the REspondent-based Preference and Constraints (REPAC) model. Technol. Forecast. Soc. Chang. 2017, 117, 238â250. [CrossRef]
Zhang, J.; Johnson, F.R.; Mohamed, A.F.; Hauber, A.B. Too many attributes: A test of the validity of combining discrete-choice and bestâworst scaling data. J. Choice Model. 2015, 15, 1â13. [CrossRef]
- Zhang, X.L.; Thorstensen, T. Experience Driven Change: Consumer Experience Management in Automobile Product Strategy; China Architecture & Building Press: Beijing, China, 2020.
Paper not yet in RePEc: Add citation now