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The effect of electric vehicle use on trip frequency and vehicle kilometers traveled (VKT) in the Netherlands

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  • Zhang, Linlin
  • van Lierop, Dea
  • Ettema, Dick

Abstract

The transition from conventional vehicles to battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs) is expected to significantly contribute to reducing greenhouse gas emissions in the transportation sector. However, the effectiveness of this transition depends on how BEVs and PHEVs are used compared to internal combustion engine vehicles (ICEVs) and hybrid electric vehicles (HEVs). This paper analyzes data from the 2018–2020 Dutch National Travel Surveys to assess vehicle usage patterns in single-car households across four vehicle types: ICEVs, HEVs, PHEVs, and BEVs. Specifically, we focus on daily trip frequency and vehicle kilometers traveled (VKT) for both commuting and non-commuting purposes, while examining how these vehicle usage patterns correlate with vehicle attributes, socioeconomic and demographic factors, and the built environment. Our descriptive analysis shows that BEV and PHEV users have significantly longer daily VKT for both commuting and non-commuting travel compared to ICEV and HEV users. The model results reveal that after controlling for various factors, BEVs are associated with shorter daily VKT for non-commuting travel compared to other powertrain types, while a pattern is not observed for commuting travel. Notably, there is no evidence of a rebound effect linked to the use of BEV and PHEV powertrains. Additionally, leased or company vehicles, regardless of powertrain type, are associated with higher daily VKT and a higher probability of trip-making compared to privately owned vehicles. This higher daily VKT observed for BEV and PHEV users is largely due to the higher prevalence of their vehicles being leased or company cars, rather than the powertrain type itself.

Suggested Citation

  • Zhang, Linlin & van Lierop, Dea & Ettema, Dick, 2025. "The effect of electric vehicle use on trip frequency and vehicle kilometers traveled (VKT) in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 192(C).
    • Handle: RePEc:eee:transa:v:192:y:2025:i:c:s0965856424003732
    DOI: 10.1016/j.tra.2024.104325
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    References listed on IDEAS

    as
    1. Joshua Linn, 2016. "The Rebound Effect for Passenger Vehicles," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    2. Fiona Burlig & James Bushnell & David Rapson & Catherine Wolfram, 2021. "Low Energy: Estimating Electric Vehicle Electricity Use," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 430-435, May.
    3. Joshua Linn, 2016. "The Rebound Effect for Passenger Vehicles," The Energy Journal, , vol. 37(2), pages 257-288, April.
    4. ., 2022. "Basic structures and problems of company law," Chapters, in: The Economic Analysis of Civil Law, chapter 25, pages 575-601, Edward Elgar Publishing.
    5. Ashley Nunes & Lucas Woodley & Philip Rossetti, 2022. "Re-thinking procurement incentives for electric vehicles to achieve net-zero emissions," Nature Sustainability, Nature, vol. 5(6), pages 527-532, June.
    6. Havet, Nathalie & Bayart, Caroline & Bonnel, Patrick, 2021. "Why do Gender Differences in Daily Mobility Behaviours persist among workers?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 34-48.
    7. Lucas W. Davis, 2023. "Electric vehicles in multi-vehicle households," Applied Economics Letters, Taylor & Francis Journals, vol. 30(14), pages 1909-1912, August.
    8. Shiqi Ou & Rujie Yu & Zhenhong Lin & Huanhuan Ren & Xin He & Steven Przesmitzki & Jessey Bouchard, 2020. "Intensity and daily pattern of passenger vehicle use by region and class in China: estimation and implications for energy use and electrification," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(3), pages 307-327, March.
    9. Kim, Jinwon & Brownstone, David, 2013. "The impact of residential density on vehicle usage and fuel consumption: Evidence from national samples," Energy Economics, Elsevier, vol. 40(C), pages 196-206.
    10. Haghani, Milad & Ghaderi, Hadi & Hensher, David, 2024. "Hidden effects and externalities of electric vehicles," Energy Policy, Elsevier, vol. 194(C).
    11. Zachary P. Cano & Dustin Banham & Siyu Ye & Andreas Hintennach & Jun Lu & Michael Fowler & Zhongwei Chen, 2018. "Batteries and fuel cells for emerging electric vehicle markets," Nature Energy, Nature, vol. 3(4), pages 279-289, April.
    12. Kate E. Creevy & Joshua M. Akey & Matt Kaeberlein & Daniel E. L. Promislow, 2022. "An open science study of ageing in companion dogs," Nature, Nature, vol. 602(7895), pages 51-57, February.
    13. Huo, Hong & Zhang, Qiang & He, Kebin & Yao, Zhiliang & Wang, Michael, 2012. "Vehicle-use intensity in China: Current status and future trend," Energy Policy, Elsevier, vol. 43(C), pages 6-16.
    14. Lucas W. Davis, 2019. "How much are electric vehicles driven?," Applied Economics Letters, Taylor & Francis Journals, vol. 26(18), pages 1497-1502, October.
    15. Figueroa, Maria J. & Nielsen, Thomas A. Sick & Siren, Anu, 2014. "Comparing urban form correlations of the travel patterns of older and younger adults," Transport Policy, Elsevier, vol. 35(C), pages 10-20.
    16. De Borger, Bruno & Mulalic, Ismir & Rouwendal, Jan, 2016. "Measuring the rebound effect with micro data: A first difference approach," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 1-17.
    17. Simsekoglu, Özlem, 2018. "Socio-demographic characteristics, psychological factors and knowledge related to electric car use: A comparison between electric and conventional car drivers," Transport Policy, Elsevier, vol. 72(C), pages 180-186.
    18. Hasan, Saiful & Simsekoglu, Özlem, 2020. "The role of psychological factors on vehicle kilometer travelled (VKT) for battery electric vehicle (BEV) users," Research in Transportation Economics, Elsevier, vol. 82(C).
    19. Abdullah, Muhammad & Ali, Nazam & Hussain, Syed Arif & Aslam, Atif Bilal & Javid, Muhammad Ashraf, 2021. "Measuring changes in travel behavior pattern due to COVID-19 in a developing country: A case study of Pakistan," Transport Policy, Elsevier, vol. 108(C), pages 21-33.
    20. Boarnet, Marlon & Crane, Randall, 2001. "The influence of land use on travel behavior: specification and estimation strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(9), pages 823-845, November.
    21. Pasaoglu, G. & Fiorello, D. & Martino, A. & Zani, L. & Zubaryeva, A. & Thiel, C., 2014. "Travel patterns and the potential use of electric cars – Results from a direct survey in six European countries," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 51-59.
    22. Cavallaro, Federico & Costa, Carlo & De Biasi, Ilaria & Fabio, Alberto & Nocera, Silvio, 2024. "Sustainable pathways for mitigating externalities in long-distance terrestrial transport," Transport Policy, Elsevier, vol. 154(C), pages 207-221.
    23. Liao, Fanchao & Molin, Eric & Timmermans, Harry & van Wee, Bert, 2019. "Consumer preferences for business models in electric vehicle adoption," Transport Policy, Elsevier, vol. 73(C), pages 12-24.
    24. Christopher Hian-Ann Ting, 2022. "Algorithmic Finance:A Companion to Data Science," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 12315.
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