An agent-based electric vehicle ecosystem model: San Francisco case study

Transport Policy

Volumn 46, Issue , 2016, Pages 109-122

  Adepetu, Adedamola ^a   Keshav, Srinivasan ^a   Arya, Vijay ^b  

^a UNIVERSITY OF WATERLOO   (Canada)

^b IBM RESEARCH   (United States)

Author keywords

Agent based modeling; Electric vehicle; Electric vehicle adoption

Indexed keywords

ELECTRIC VEHICLE; STAKEHOLDER; TECHNOLOGY ADOPTION;

CALIFORNIA; SAN FRANCISCO [CALIFORNIA]; UNITED STATES;

EID: 84949883802     PISSN: 0967070X     EISSN: 1879310X     Source Type: Journal    
DOI: 10.1016/j.tranpol.2015.11.012     Document Type: Article

References (41)

1. Acha, S., van Dam, K. H., Keirstead, J., Shah, N., 2011, June. Integrated modelling of agent-based electric vehicles into optimal power flow studies. In: Proceedings of the 21st International Conference on Electricity Distribution, Frankfurt, pp. 6-9.
2. Adepetu A., Keshav S. The relative importance of price and driving range on electric vehicle adoption: Los Angeles case study. Transportation 2015, 1-21.
3. Al-Alawi B.M., Bradley T.H. Review of hybrid, plug-in hybrid, and electric vehicle market modeling Studies. Renew. Sustain. Energy Rev. 2013, 21:190-203.
4. Alternative Fuels Data Center (AFDC). California Laws and Incentives for EVs, 2014a. At (accessed on 10.03.14.). http://www.afdc.energy.gov/laws/laws/CA/tech/3270.
5. Alternative Fuels Data Center (AFDC). Fuel Properties Comparison, 2014b. At (accessed on 18.03.14.). http://www.afdc.energy.gov/fuels/fuelcomparison%20chart.pdf.
6. Arellano, B., Sena, S., Abdollahy, S., Lavrova, O., Stratton, S., Hawkins, J., 2013. Analysis of electric vehicle impacts in new Mexico urban utility distribution infrastructure. In: Proceedings of the Transportation Electrification Conference and Expo (ITEC), 2013. IEEE, pp. 1-6.
7. Axsen, J., Kurani, K.S., 2008. The Early US Market for PHEVs: Anticipating Consumer Awareness, Recharge Potential, Design Priorities and Energy Impacts.
8. Baker, D., 2013. Most Electric Vehicle Drivers Charge them At Home. At (accessed on 26.06.14.). http://www.sfgate.com/business/article/Most-electric-vehicle-drivers-charge-them-at-home-4999799.php.
9. Bass F.M. A new product growth for model consumer durables. Manag. Sci. 1969, 15:215-227.
10. Bohlmann J.D., Calantone R.J., Zhao M. The effects of market network heterogeneity on innovation diffusion: an agent-based modeling approach. J. Prod. Innov. Manag. 2010, 27(5):741-760.
11. Boulanger A.G., Chu A.C., Maxx S., Waltz D.L. Vehicle electrification: status and issues. Proc. IEEE 2011, 99(6):1116-1138.
12. Brown M. Catching the PHEVer: simulating electric vehicle diffusion with an agent-based mixed logit model of vehicle choice. J. Artif. Soc. Soc. Simul. 2013, 16(2).
13. Bureau of Labor Statistics (BLS), 2014. Average Energy Prices, San Francisco-Oakland-San Jose, January 2014. At (accessed on 17.03.14.). http://www.bls.gov/ro9/cpisanf%20energy.htm.
14. California Center for Sustainable Energy (CCSE), 2014. Clean Vehicle Rebate Project. At (accessed on 17.03.14.). http://www.energycenter.org/clean-vehicle-rebate-project.
15. California Department of Transportation (Caltrans), 2013. 2010-2012 California household travel survey final report.
16. Cui, X., Liu, C., Kim, H.K., Kao, S.C., Tuttle, M.A., Bhaduri, B.L., 2010. A multi agent-based framework for simulating household PHEV distribution and electric distribution network impact. TRB Committee on Transportation Energy (ADC70).
17. Electric Drive Transportation Association (EDTA), 2014. Electric Drive Sales. At (accessed on 02.03.14.). http://www.electricdrive.org/index.php?ht=d/sp/i/20952/pid/20952.
18. Electric Power Research Institute (EPRI), 2013 June. Total Cost of Ownership Model for Current Plug-in Electric Vehicles. Technical report.
19. 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 2011, 39(6):3789-3802.
20. Grant W.E., Swannack T.M. Ecological Modeling: a Common-sense Approach to Theory and Practice 2008, Blackwell, Malden, Massachusetts.
21. Hannisdahl, O. H., Malvik, H. V., Wensaas, G. B., 2013. The future is electric! the EV revolution in Norway-explanations and lessons learned. In: Proceedings of the Electric Vehicle Symposium 27, World Electric Vehicle Association (WEVA), Barcelona.
22. Ingram, A., 2014. Electric Cars: 12 Percent Of All New-Car Sales In Norway Last Month. At (accessed on 04.02.14.). http://www.greencarreports.com/news/1088856electric-cars-12-percent-of-all-new-car-sales-in-norway-last-month.
23. Lin, Z., Greene, D. L., 2010, January. A plug-in hybrid consumer choice model with detailed market segmentation. In: Proceedings TRB 89th Annual Meeting. Transportation Research Board of the National Academies, Washington, DC.
24. MapQuest, 2014. Directions Web Service-MapQuest Platform. At (accessed on 18.03.14.). http://www.mapquestapi.com/directions/.
25. Merchant, B., 2013. Norway Is Earth's Second Electric Car Paradise. At (accessed on 16.10.13.). http://motherboard.vice.com/blog/norway-electric-car-paradise-numero-dos.
26. O'Connor, L., 2014. San Francisco and Los Angeles Account for 35 Percent of Nation's Electric Vehicle Sales, Data Finds. At (accessed on 17.01.14.). http://www.huffingtonpost.com/2013/09/03/california-electric-cars%20n%203862972.html.
27. Paevere P., Higgins A., Ren Z., Horn M., Grozev G., McNamara C. Spatio-temporal modelling of electric vehicle charging demand and impacts on peak household electrical load. Sustain. Sci. 2014, 9(1):61-76.
28. Pellon, M.B., Eppstein, M.J., Besaw, L.E., Grover, D.K., Rizzo, D.M., Marshall, J.S., 2010. An agent-based model for estimating consumer adoption of PHEV technology Transp. Res. Board (TRB). 10-3303.
29. Recargo. PlugShare-EV Charging Station Map. At (accessed on 09.03.14.). http://www.plugshare.com/.
30. Rogers E.M. Diffusion of innovations 2010, Simon and Schuster.
31. Santini, D.J., Vyas, A.D., 2005. Suggestions for a New Vehicle Choice Model Simulating Advanced Vehicles Introduction Decisions (AVID): Structure and Coefficients. Center for Transportation Analysis, Argonne National Laboratory. ANL/ESD/05-1.
32. Schwoon M. Simulating the adoption of fuel cell vehicles. J. Evol. Econ. 2006, 16(4):435-472.
33. Shafiei E., Thorkelsson H., Ásgeirsson 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. Change 2012, 79(9):1638-1653.
34. Shepherd S., Bonsall P., Harrison G. Factors affecting future demand for electric vehicles: A model based study. Transp. Policy 2012, 20:62-74.
35. Sullivan, J.L., Salmeen, I.T., Simon, C.P., 2009. PHEV Marketplace Penetration: An Agent Based Simulation.
36. Sweda, T., Klabjan, D., 2011, September. An agent-based decision support system for electric vehicle charging infrastructure deployment. In: Proceedings of theVehicle Power and Propulsion Conference (VPPC), 2011. IEEE, pp. 1-5.
37. US Environmental Protection Agency (USEPA), 2014a. Federal Tax Credits for Electric Vehicles Purchased in or after 2010. At (accessed on 17.03.14.). http://www.fueleconomy.gov/feg/taxevb.shtml.
38. US Environmental Protection Agency (USEPA). Fuel Economy, 2014b. At (accessed on 18.03.14.). http://www.fueleconomy.gov/.
39. Voelcker, John, 2014a. Half Of All Electric Cars Are Sold In 5 Cities; Can You Name Them? At (accessed on 02.03.14.). http://www.greencarreports.com/news/1086200half-of-all-electric-cars-are-sold-in-5-cities-can-you-name-them.
40. Voelcker, John, 2014b. Reduce, Reuse, Recycle: Average Vehicle Now 11.4 Years Old, Oldest Since WW2. At (accessed on 10.03.14.). http://www.greencarreports.com/news/1086136reduce-reuse-recycle-average-vehicle-now-11-4-years-old-oldest-since-ww2.
41. Yücel G. Analyzing Transition Dynamics: the Actor-option Framework For Modelling Socio-technical Systems 2010, Delft University of Technology, TU Delft.