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Counteracting electric vehicle range concern with a scalable behavioural intervention

Abstract

All-electric vehicles remain far from reaching the market share required to meaningfully reduce transportation-related CO2 emissions. While financial and technological adoption barriers are increasingly being removed, psychological barriers remain insufficiently addressed. Here we show that car owners systematically underestimate the compatibility of available battery ranges with their annual mobility needs and that this underestimation is associated with increased demand for long battery ranges and reduced willingness to adopt electric vehicles. We tested a simple intervention to counteract this bias: providing tailored compatibility information reduced range concern and increased willingness to pay for electric vehicles with battery ranges between 60 and 240 miles, relative to a 50-mile-range baseline model. Compatibility information more strongly increased willingness to pay than did information about easy access to charging infrastructure, and it selectively increased willingness to pay for car owners who would derive greater financial benefits from adopting an electric vehicle. This scalable intervention may complement classical policy approaches to promote the electrification of mobility.

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Fig. 1: Perceived and actual compatibility of BEVs with annual mobility needs.
Fig. 2: Effects of the compatibility and the infrastructure intervention on car owners’ range concerns and relative willingness to pay.

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Data availability

All data are publicly available at https://doi.org/10.17605/OSF.IO/8YZPF.

Code availability

The code used to generate the results and figures is publicly available at https://doi.org/10.17605/OSF.IO/8YZPF.

References

  1. IPCC Climate Change 2014: Mitigation of Climate Change (eds Edenhofer, O. et al.) (Cambridge Univ. Press, 2014).

  2. Tracking Transport 2020 (IEA, 2020).

  3. Rietmann, N. & Lieven, T. How policy measures succeeded to promote electric mobility—worldwide review and outlook. J. Clean. Prod. 206, 66–75 (2019).

    Article  Google Scholar 

  4. Sierzchula, W., Bakker, S., Maat, K. & van Wee, B. The influence of financial incentives and other socio-economic factors on electric vehicle adoption. Energy Policy 68, 183–194 (2014).

    Article  Google Scholar 

  5. Global EV Outlook 2021 (IEA, 2021).

  6. Needell, Z. A., McNerney, J., Chang, M. T. & Trancik, J. E. Potential for widespread electrification of personal vehicle travel in the United States. Nat. Energy 1, 16112 (2016).

    Article  Google Scholar 

  7. Soto, J. J., Cantillo, V. & Arellana, J. Incentivizing alternative fuel vehicles: the influence of transport policies, attitudes and perceptions. Transportation 45, 1721–1753 (2018).

    Article  Google Scholar 

  8. Li, W., Long, R., Chen, H. & Geng, J. A review of factors influencing consumer intentions to adopt battery electric vehicles. Renew. Sust. Energy Rev. 78, 318–328 (2017).

    Article  Google Scholar 

  9. Wang, S., Wang, J., Li, J., Wang, J. & Liang, L. Policy implications for promoting the adoption of electric vehicles: do consumerʼs knowledge, perceived risk and financial incentive policy matter? Transp. Res. A 117, 58–69 (2018).

    Google Scholar 

  10. McCollum, D. L. Interaction of consumer preferences and climate policies in the global transition to low-carbon vehicles. Nat. Energy 3, 664–673 (2018).

    Article  Google Scholar 

  11. Bakker, S. & Jacob Trip, J. Policy options to support the adoption of electric vehicles in the urban environment. Transp. Res. D 25, 18–23 (2013).

    Article  Google Scholar 

  12. Gnann, T., Plötz, P. & Haag, M. What is the Future of Public Charging Infrastructure for Electric Vehicles?—A Techno-Economic Assessment of Public Charging Points for Germany (Fraunhofer Institute for Systems and Innovation Research ISI, 2013).

  13. Wolbertus, R., Kroesen, M., van den Hoed, R. & Chorus, C. Fully charged: an empirical study into the factors that influence connection times at EV-charging stations. Energy Policy 123, 1–7 (2018).

    Article  Google Scholar 

  14. Xu, C. et al. Future material demand for automotive lithium-based batteries. Commun. Mater. 1, 99 (2020).

    Article  Google Scholar 

  15. Sovacool, B. K., Sidortsov, R. V. & Jones, B. R. Energy Security, Equality and Justice (Routledge, 2013).

  16. Baars, J., Domenech, T., Bleischwitz, R., Melin, H. E. & Heidrich, O. Circular economy strategies for electric vehicle batteries reduce reliance on raw materials. Nat. Sustain. 4, 71–79 (2021).

    Article  Google Scholar 

  17. Singh, V., Singh, V. & Vaibhav, S. A review and simple meta-analysis of factors influencing adoption of electric vehicles. Transp. Res. D 86, 102436 (2020).

    Article  Google Scholar 

  18. Melliger, M. A., van Vliet, O. P. R. & Liimatainen, H. Anxiety vs reality—sufficiency of battery electric vehicle range in Switzerland and Finland. Transp. Res. D 65, 101–115 (2018).

    Article  Google Scholar 

  19. Dimitropoulos, A., Rietveld, P. & van Ommeren, J. N. Consumer valuation of changes in driving range: a meta-analysis. Transp. Res. A 55, 27–45 (2013).

    Google Scholar 

  20. Franke, T., Günther, M., Trantow, M., Rauh, N. & Krems, J. F. Range comfort zone of electric vehicle users—concept and assessment. IET Intell. Transp. Syst. 9, 740–745 (2015).

    Article  Google Scholar 

  21. Franke, T. & Krems, J. F. Interacting with limited mobility resources: psychological range levels in electric vehicle use. Transp. Res. A 48, 109–122 (2013).

    Google Scholar 

  22. Peters, A. & Dütschke, E. How do consumers perceive electric vehicles ? A comparison of German consumer groups. J. Environ. Policy Plan. 16, 359–377 (2014).

    Article  Google Scholar 

  23. Hahnel, U. J. J., Gölz, S. & Spada, H. How does green suit me? Consumers mentally match perceived product attributes with their domain-specific motives when making green purchase decisions. J. Consum. Behav. 13, 317–327 (2014).

    Article  Google Scholar 

  24. Haustein, S., Jensen, A. F. & Cherchi, E. Battery electric vehicle adoption in Denmark and Sweden: recent changes, related factors and policy implications. Energy Policy 149, 112096 (2021).

    Article  Google Scholar 

  25. Franke, T. & Krems, J. F. What drives range preferences in electric vehicle users? Transp. Policy 30, 56–62 (2013).

    Article  Google Scholar 

  26. Meinrenken, C. J., Shou, Z. & Di, X. Using GPS-data to determine optimum electric vehicle ranges: a Michigan case study. Transp. Res. D 78, 102203 (2020).

    Article  Google Scholar 

  27. Shi, X., Pan, J., Wang, H. & Cai, H. Battery electric vehicles: what is the minimum range required? Energy 166, 352–358 (2019).

    Article  Google Scholar 

  28. Greaves, S., Backman, H. & Ellison, A. B. An empirical assessment of the feasibility of battery electric vehicles for day-to-day driving. Transp. Res. A 66, 226–237 (2014).

    Google Scholar 

  29. Rafique, S. & Town, G. E. Potential for electric vehicle adoption in Australia. Int. J. Sustain. Transp. 13, 245–254 (2019).

    Article  Google Scholar 

  30. Schmalfu, F., Mühl, K. & Krems, J. F. Direct experience with battery electric vehicles (BEVs) matters when evaluating vehicle attributes, attitude and purchase intention. Transp. Res. F 46, 47–69 (2017).

    Article  Google Scholar 

  31. Roberson, L. A. & Helveston, J. P. Electric vehicle adoption: can short experiences lead to big change? Environ. Res. Lett. 15, 0940c3 (2020).

    Article  Google Scholar 

  32. Rauh, N., Günther, M. & Krems, J. F. Positive influence of practical electric vehicle driving experience and range related knowledge on drivers’ experienced range stress. Transp. Res. F 71, 182–197 (2020).

    Article  Google Scholar 

  33. Franke, T., Günther, M., Trantow, M. & Krems, J. F. Does this range suit me? Range satisfaction of battery electric vehicle users. Appl. Ergon. 65, 191–199 (2017).

    Article  Google Scholar 

  34. Bühler, F., Cocron, P., Neumann, I., Franke, T. & Krems, J. F. Is EV experience related to EV acceptance? Results from a German field study. Transp. Res. F 25, 34–49 (2014).

    Article  Google Scholar 

  35. Jensen, A. F., Cherchi, E. & Mabit, S. L. On the stability of preferences and attitudes before and after experiencing an electric vehicle. Transp. Res. D 25, 24–32 (2013).

    Article  Google Scholar 

  36. She, Z.-Y., Sun, Q., Ma, J.-J. & Xie, B.-C. What are the barriers to widespread adoption of battery electric vehicles? A survey of public perception in Tianjin, China. Transp. Policy 56, 29–40 (2017).

    Article  Google Scholar 

  37. Kahneman, D., Slovic, P. & Tversky A. Judgment Under Uncertainty: Heuristics and Biases (Cambridge Univ. Press, 1982).

  38. Simonson, I. Mission (largely) accomplished: what’s next for consumer BDT-JDM researchers ? J. Mark. Behav. 1, 9–35 (2015).

    Article  Google Scholar 

  39. Hsee, C. K. The evaluability hypothesis: an explanation for preference reversals between joint and separate evaluations of alternatives. Organ. Behav. Hum. Decis. Process. 67, 247–257 (1996).

    Article  Google Scholar 

  40. Sunstein, C. R. On preferring A to B, while also preferring B to A. Ration. Soc. 30, 305–331 (2018).

    Article  Google Scholar 

  41. Strack, F. & Mussweiler, T. Explaining the enigmatic anchoring effect: mechanisms of selective accessibility. J. Pers. Soc. Psychol. 73, 437–446 (1997).

    Article  Google Scholar 

  42. Furnham, A. & Boo, H. C. A literature review of the anchoring effect. J. Socio Econ. 40, 35–42 (2011).

    Article  Google Scholar 

  43. Mabit, S. L. & Fosgerau, M. Demand for alternative-fuel vehicles when registration taxes are high. Transp. Res. D 16, 225–231 (2011).

    Article  Google Scholar 

  44. Mabit, S. L., Cherchi, E., Jensen, A. F. & Jordal-Jørgensen, J. The effect of attitudes on reference-dependent preferences: estimation and validation for the case of alternative-fuel vehicles. Transp. Res. A 82, 17–28 (2015).

    Google Scholar 

  45. Bhattacharyya, A., Jin, W., LeFloch, C., Chatman, D. G. & Walker, J. L. Nudging people towards more sustainable residential choice decisions: an intervention based on focalism and visualization. Transportation 46, 373–393 (2019).

    Article  Google Scholar 

  46. Abrahamse, W., Steg, L., Vlek, C. & Rothengatter, T. The effect of tailored information, goal setting, and tailored feedback on household energy use, energy-related behaviors, and behavioral antecedents. J. Environ. Psychol. 27, 265–276 (2007).

    Article  Google Scholar 

  47. Wenig, J., Sodenkamp, M. & Staake, T. Battery versus infrastructure: tradeoffs between battery capacity and charging infrastructure for plug-in hybrid electric vehicles. Appl. Energy 255, 113787 (2019).

    Article  Google Scholar 

  48. Thaler, R. H & Sunstein, C. R. Nudge: Improving Decisions about Health, Wealth, and Happiness (Penguin Books, 2008).

  49. Nudges for nudgers. Nat. Energy 3, 701 (2018).

  50. Gigerenzer, G. The bias bias in behavioral economics. Rev. Behav. Econ. 5, 303–336 (2018).

    Article  Google Scholar 

  51. Andor, M. A., Gerster, A., Gillingham, K. T. & Horvath, M. Running a car costs much more than people think—stalling the uptake of green travel. Nature 580, 453–455 (2020).

    Article  Google Scholar 

  52. Newman, P. W. G. & Kenworthy, J. R. Gasoline consumption and cities. J. Am. Plan. Assoc. 55, 24–37 (1989).

    Article  Google Scholar 

  53. Jensen, A. F., Cherchi, E. & de Dios Ortúzar, J. A long panel survey to elicit variation in preferences and attitudes in the choice of electric vehicles. Transportation 41, 973–993 (2014).

    Article  Google Scholar 

  54. Neubauer, J. & Wood, E. The impact of range anxiety and home, workplace, and public charging infrastructure on simulated battery electric vehicle lifetime utility. J. Power Sources 257, 12–20 (2014).

    Article  Google Scholar 

  55. Weber, E. U. Breaking cognitive barriers to a sustainable future. Nat. Hum.Behav. 1, 1–2 (2017).

    Article  Google Scholar 

  56. Plötz, P., Schneider, U., Globisch, J. & Dütschke, E. Who will buy electric vehicles? Identifying early adopters in Germany. Transp. Res. A 67, 96–109 (2014).

    Google Scholar 

  57. Haustein, S. & Jensen, A. F. Factors of electric vehicle adoption: a comparison of conventional and electric car users based on an extended theory of planned behavior. Int. J. Sustain. Transp. 12, 484–496 (2018).

    Article  Google Scholar 

  58. Ratchford, B. T., Lee, M. S. & Talukdar, D. Consumer Use of the Internet in Search for Automobiles Vol. 2 (Routledge, 2017).

  59. Singh, S. & Jang, S. Search, purchase, and satisfaction in a multiple-channel environment: how have mobile devices changed consumer behaviors? J. Retail. Consum. Serv. 65, 102200 (2020).

    Article  Google Scholar 

  60. Camilleri, A. R., Larrick, R. P., Hossain, S. & Patino-Echeverri, D. Consumers underestimate the emissions associated with food but are aided by labels. Nat. Clim. Change 9, 53–58 (2019).

    Article  Google Scholar 

  61. Oppenheimer, D. M., Meyvis, T. & Davidenko, N. Instructional manipulation checks: detecting satisficing to increase statistical power. J. Exp. Soc. Psychol. 45, 867–872 (2009).

    Article  Google Scholar 

  62. Kraftfahrt-Bundesamt. Fahrzeugzulassungen. Bestand an Kraftfahrzeugen und Kraftfahrzeuganhängern nach Fahrzeugalter 1 (German Federal Ministry of Transport and Digital Infrastructure, 2021).

  63. Nobis, C. & Kuhnimhof, T. Mobilität in Deutschland—MiD: Ergebnisbericht (German Federal Ministry of Transport and Digital Infrastructure, 2018).

  64. 2017 National Household Travel Survey (US Department of Transportation, Federal Highway Administration, 2017).

  65. Nilsson, M. Electric vehicles: The Phenomenon of Range Anxiety. Report for the ELVIRE Project FP7 PROJECT ID : ICT-2009.6. 1 (ELVIRE Consortium, 2011).

  66. Tingley, D., Yamamoto, T., Hirose, K., Keele, L. & Imai, K. Mediation: R package for causal mediation analysis. J. Stat. Softw. 59, 1–38 (2014).

    Article  Google Scholar 

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Acknowledgements

This research was supported by Swiss Federal Office of Energy grant SI/501597-01 (U.J.J.H. and T.B.) and is part of the activities of SCCER CREST (Swiss Competence Center for Energy Research), supported by the Swiss Innovation Agency (Innosuisse). The funding source had no involvement in the preparation of the article, in the study design, the collection, analysis and interpretation of data, nor in the writing of the manuscript. We thank B. Meuleman and F. Braccioli for statistical advice and L. McCaughey, T. Vogel and the members of the Consumer Decision and Sustainable Behavior Lab for fruitful discussions.

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M.H, U.J.J.H. and T.B. designed the research. M.H. collected and analysed the data. M.H, U.J.J.H. and T.B. wrote the paper.

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Correspondence to Mario Herberz or Tobias Brosch.

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Nature Energy thanks Sonja Haustein, Josef Krems and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Supplementary Notes 1–9, Figs. 1–3, Tables 1–8, Methods and References.

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Herberz, M., Hahnel, U.J.J. & Brosch, T. Counteracting electric vehicle range concern with a scalable behavioural intervention. Nat Energy 7, 503–510 (2022). https://doi.org/10.1038/s41560-022-01028-3

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