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Who is more likely to buy electric vehicles?. (2024). Patterson, Zachary ; Waygood, E. O. D., ; Naseri, Hamed ; Wang, Bobin.
In: Transport Policy.
RePEc:eee:trapol:v:155:y:2024:i:c:p:15-28.

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  1. How about electric vehicle? Sensing owners’ experiences and attitudes through online short video. (2025). Zhang, Yan ; Cui, Qinyu ; Ma, Haoran ; Lin, Zhenhong ; Chen, Zemu ; Peng, Jinhan.
    In: Transport Policy.
    RePEc:eee:trapol:v:167:y:2025:i:c:p:1-15.

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  2. Analyzing purchase intentions of used electric vehicles through consumer experiences: A structural equation modeling approach. (2025). Kutela, Boniphace ; Das, Subasish ; Azmoodeh, Mohammad ; Sheykhfard, Abbas.
    In: Transport Policy.
    RePEc:eee:trapol:v:160:y:2025:i:c:p:125-137.

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References

References cited by this document

  1. Abotalebi, E. ; Scott, D.M. ; Ferguson, M.R. Why is electric vehicle uptake low in Atlantic Canada? A comparison to leading adoption provinces. 2019 J. Transp. Geogr.. 74 289-298

  2. Ambrose, H. ; Kendall, A. ; Lozano, M. ; Wachche, S. ; Fulton, L. Trends in life cycle greenhouse gas emissions of future light duty electric vehicles. 2020 Transport. Res. Transport Environ.. -
    Paper not yet in RePEc: Add citation now
  3. Apley, D.W. ; Zhu, J. Visualizing the effects of predictor variables in black box supervised learning models. 2020 J. R. Stat. Soc. Ser. B Stat. Methodol.. 82 1059-1086

  4. Austmann, L.M. Drivers of the electric vehicle market: a systematic literature review of empirical studies. 2021 Finance Res. Lett.. 41 -

  5. Barros, V. ; Cruz, C.O. ; Júdice, T. ; Sarmento, J.M. Is taxation being effectively used to promote public transport in Europe?. 2021 Transport Pol.. 114 215-224

  6. Bas, J. ; Cirillo, C. ; Cherchi, E. Classification of potential electric vehicle purchasers: a machine learning approach. 2021 Technol. Forecast. Soc. Change. 168 -

  7. Bas, J. ; Zou, Z. ; Cirillo, C. An interpretable machine learning approach to understanding the impacts of attitudinal and ridesourcing factors on electric vehicle adoption. 2021 Transp. Lett.. -
    Paper not yet in RePEc: Add citation now
  8. Boeri, M. ; Saure, D. ; Schacht, A. ; Riedl, E. ; Hauber, B. Modeling heterogeneity in Patients' preferences for psoriasis treatments in a multicountry study: a comparison between random-parameters logit and latent class approaches. 2020 Pharmacoeconomics. 38 593-606

  9. Brase, G.L. What would it take to get you into an electric car? Consumer perceptions and decision making about electric vehicles. 2019 J. Psychol. Interdiscip. Appl.. 153 214-236
    Paper not yet in RePEc: Add citation now
  10. Cai, W. ; Wei, R. ; Xu, L. ; Ding, X. A method for modelling greenhouse temperature using gradient boost decision tree. 2022 Inf. Process. Agric.. 9 343-354
    Paper not yet in RePEc: Add citation now
  11. Cerwick, D.M. ; Gkritza, K. ; Shaheed, M.S. ; Hans, Z. A comparison of the mixed logit and latent class methods for crash severity analysis. 2014 Anal. Methods Accid. Res.. 3–4 11-27
    Paper not yet in RePEc: Add citation now
  12. Chen, T. ; Guestrin, C. XGBoost: a scalable tree boosting system. 2016 En : Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM: New York, NY, USA
    Paper not yet in RePEc: Add citation now
  13. Colgan, J.D. ; Hinthorn, M. Is cheap gasoline killing us? Fuel subsidies and under-taxation as a driver of obesity and public health problems worldwide. 2021 Energy Res. Social Sci.. 82 -
    Paper not yet in RePEc: Add citation now
  14. Daziano, R.A. ; Waygood, E.O.D. ; Patterson, Z. ; Braun Kohlová, M. Increasing the influence of CO2 emissions information on car purchase. 2017 J. Clean. Prod.. -
    Paper not yet in RePEc: Add citation now
  15. De Souza, L.L.P. ; Lora, E.E.S. ; Palacio, J.C.E. ; Rocha, M.H. ; Renó, M.L.G. ; Venturini, O.J. Comparative environmental life cycle assessment of conventional vehicles with different fuel options, plug-in hybrid and electric vehicles for a sustainable transportation system in Brazil. 2018 J. Clean. Prod.. -
    Paper not yet in RePEc: Add citation now
  16. Dhananjay, B. ; Sivaraman, J. Analysis and classification of heart rate using CatBoost feature ranking model. 2021 Biomed. Signal Process Control. 68 -
    Paper not yet in RePEc: Add citation now
  17. Dong, Y. Analysis of consumers' willingness to accept of government subsidies for electric vehicles. 2022 Transport. Res. Procedia. 61 90-97
    Paper not yet in RePEc: Add citation now
  18. Dong, Y. ; Sun, Y. ; Waygood, O. ; Wang, B. ; Huang, P. ; Naseri, H. Insight into the nonlinear effect of COVID-19 on well-being in China: commuting, a vital ingredient. 2022 J. Transport Health. 25 -
    Paper not yet in RePEc: Add citation now
  19. Ferguson, M. ; Mohamed, M. ; Higgins, C.D. ; Abotalebi, E. ; Kanaroglou, P. How open are Canadian households to electric vehicles? A national latent class choice analysis with willingness-to-pay and metropolitan characterization. 2018 Transport. Res. Transport Environ.. -
    Paper not yet in RePEc: Add citation now
  20. Fevang, E. ; Figenbaum, E. ; Fridstrøm, L. ; Halse, A.H. ; Hauge, K.E. ; Johansen, B.G. ; Raaum, O. Who goes electric? The anatomy of electric car ownership in Norway. 2021 Transport. Res. Transport Environ.. 92 -
    Paper not yet in RePEc: Add citation now
  21. Funke, S.Á. ; Sprei, F. ; Gnann, T. ; Plötz, P. How much charging infrastructure do electric vehicles need? A review of the evidence and international comparison. 2019 Transport. Res. Transport Environ.. 77 224-242
    Paper not yet in RePEc: Add citation now
  22. Greene, W.H. ; Hensher, D.A. A latent class model for discrete choice analysis: contrasts with mixed logit. 2003 Transp. Res. Part B Methodol.. 37 681-698

  23. Guo, X. ; Gao, Y. ; Zheng, D. ; Ning, Y. ; Zhao, Q. Study on short-term photovoltaic power prediction model based on the Stacking ensemble learning. 2020 Energy Rep.. 6 1424-1431
    Paper not yet in RePEc: Add citation now
  24. Hardman, S. Understanding the impact of reoccurring and non-financial incentives on plug-in electric vehicle adoption – a review. 2019 Transport. Res. Part A Policy Pract.. 119 1-14

  25. He, H. ; Wang, C. ; Wang, S. ; Ma, F. ; Sun, Q. ; Zhao, X. Does environmental concern promote EV sales? Duopoly pricing analysis considering consumer heterogeneity. 2021 Transport. Res. Transport Environ.. 91 -
    Paper not yet in RePEc: Add citation now
  26. Hidrue, M.K. ; Parsons, G.R. ; Kempton, W. ; Gardner, M.P. Willingness to pay for electric vehicles and their attributes. 2011 Resour. Energy Econ.. 33 686-705

  27. Hillel, T. ; Bierlaire, M. ; Elshafie, M. ; Jin, Y. Weak teachers: assisted specification of discrete choice models using ensemble learning. 2019 Hear. 2019, 8th Symp. Eur. Assoc. Res. Transp.. 1-12
    Paper not yet in RePEc: Add citation now
  28. Hussain, S. ; Mustafa, M.W. ; Jumani, T.A. ; Baloch, S.K. ; Alotaibi, H. ; Khan, I. ; Khan, A. A novel feature engineered-CatBoost-based supervised machine learning framework for electricity theft detection. 2021 Energy Rep.. 7 4425-4436
    Paper not yet in RePEc: Add citation now
  29. Ibrahim, A.A. ; Ridwan, R.L. ; Muhammed, M.M. ; Abdulaziz, R.O. ; Saheed, G.A. Comparison of the CatBoost classifier with other machine learning methods. 2020 Int. J. Adv. Comput. Sci. Appl.. 11 738-748
    Paper not yet in RePEc: Add citation now
  30. Jahanbakhsh, H. ; Karimi, M.M. ; Naseri, H. ; Nejad, F.M. Sustainable asphalt concrete containing high reclaimed asphalt pavements and recycling agents: performance assessment, cost analysis, and environmental impact. 2020 J. Clean. Prod.. 244 -
    Paper not yet in RePEc: Add citation now
  31. Jamal, A. ; Zahid, M. ; Tauhidur Rahman, M. ; Al-Ahmadi, H.M. ; Almoshaogeh, M. ; Farooq, D. ; Ahmad, M. Injury severity prediction of traffic crashes with ensemble machine learning techniques: a comparative study. 2021 Int. J. Inj. Control Saf. Promot.. 28 408-427
    Paper not yet in RePEc: Add citation now
  32. Jeon, H. ; Seo, W. ; Park, E. ; Choi, S. Hybrid machine learning approach for popularity prediction of newly released contents of online video streaming services. 2020 Technol. Forecast. Soc. Change. 161 -

  33. Kim, E.J. Analysis of travel mode choice in seoul using an interpretable machine learning approach. 2021 J. Adv. Transport.. -
    Paper not yet in RePEc: Add citation now
  34. Kim, K. ; Yang, H. ; Yi, J. ; Son, H.E. ; Ryu, J.Y. ; Kim, Y.C. ; Jeong, J.C. ; Chin, H.J. ; Na, K.Y. ; Chae, D.W. ; Han, S.S. ; Kim, S. Real-time clinical decision support based on recurrent neural networks for in-hospital acute kidney injury: external validation and model interpretation. 2021 J. Med. Internet Res.. 23 -
    Paper not yet in RePEc: Add citation now
  35. Kosai, S. ; Zakaria, S. ; Che, H.S. ; Hasanuzzaman, M. ; Rahim, N.A. ; Tan, C. ; Ahmad, R.D.R. ; Abbas, A.R. ; Nakano, K. ; Yamasue, E. ; Woon, W.K. ; Amer, A.H.A. Estimation of greenhouse gas emissions of petrol, biodiesel and battery electric vehicles in Malaysia based on life cycle approach. 2022 Sustain. Times. 14 5783-

  36. Krishnan, V.V. ; Koshy, B.I. Evaluating the factors influencing purchase intention of electric vehicles in households owning conventional vehicles. 2021 Case Stud. Transp. Policy. 9 1122-1129
    Paper not yet in RePEc: Add citation now
  37. Kucukoglu, I. ; Dewil, R. ; Cattrysse, D. The electric vehicle routing problem and its variations: a literature review. 2021 Comput. Ind. Eng.. 161 -
    Paper not yet in RePEc: Add citation now
  38. Lamb, W.F. ; Grubb, M. ; Diluiso, F. ; Minx, J.C. Countries with sustained greenhouse gas emissions reductions: an analysis of trends and progress by sector. 2022 Clim. Pol.. 22 1-17

  39. Lashari, Z.A. ; Ko, J. ; Jang, J. Consumers' intention to purchase electric vehicles: influences of user attitude and perception. 2021 Sustain. Times. 13 6778-

  40. Li, X. ; Clark, C.D. ; Jensen, K.L. ; Yen, S.T. ; English, B.C. Consumer purchase intentions for flexible-fuel and hybrid-electric vehicles. 2013 Transport. Res. Transport Environ.. 18 9-15
    Paper not yet in RePEc: Add citation now
  41. Li, Z. ; Ci, Y. ; Chen, C. ; Zhang, G. ; Wu, Q. ; Qian, Z. ; Sean, ; Prevedouros, P.D. ; Ma, D.T. Investigation of driver injury severities in rural single-vehicle crashes under rain conditions using mixed logit and latent class models. 2019 Accid. Anal. Prev.. 124 219-229
    Paper not yet in RePEc: Add citation now
  42. Lim, S. ; Dolsak, N. ; Prakash, A. ; Tanaka, S. Distributional concerns and public opinion: EV subsidies in the U.S. and Japan. 2022 Energy Pol.. 164 -

  43. Ling, Z. ; Cherry, C.R. ; Wen, Y. Determining the factors that influence electric vehicle adoption: a stated preference survey study in Beijing, China. 2021 Sustain. Times. 13 -

  44. Liu, Y. ; Lyu, C. ; Khadka, A. ; Zhang, W. ; Liu, Z. Spatio-temporal ensemble method for car-hailing demand prediction. 2020 IEEE Trans. Intell. Transport. Syst.. 21 5328-5333
    Paper not yet in RePEc: Add citation now
  45. Long, Z. ; Axsen, J. Who will use new mobility technologies? Exploring demand for shared, electric, and automated vehicles in three Canadian metropolitan regions. 2022 Energy Res. Social Sci.. 88 -
    Paper not yet in RePEc: Add citation now
  46. Louviere, J.J. ; Hensher, D.A. ; Swait, J.D. ; Adamowicz, W. Stated Choice Methods:Analysis and Applications. 2000 Cambridge University Press. Cambridge University Press:
    Paper not yet in RePEc: Add citation now
  47. McDonald, R.I. ; Chai, H.Y. ; Newell, B.R. Personal experience and the “psychological distance” of climate change: an integrative review. 2015 J. Environ. Psychol.. -
    Paper not yet in RePEc: Add citation now
  48. Naseri, H. ; Golroo, A. ; Shokoohi, M. ; Gandomi, A.H. Sustainable pavement maintenance and rehabilitation planning using the marine predator optimization algorithm. 2022 Struct. Infrastruct. Eng.. 1-13
    Paper not yet in RePEc: Add citation now
  49. Naseri, H. ; Shokoohi, M. ; Jahanbakhsh, H. ; Golroo, A. ; Gandomi, A.H. Evolutionary and swarm intelligence algorithms on pavement maintenance and rehabilitation planning. 2021 Int. J. Pavement Eng.. 1-15
    Paper not yet in RePEc: Add citation now
  50. Naseri, H. ; Waygood, E.O.D. ; Wang, B. ; Patterson, Z. ; Daziano, R.A. A novel feature selection technique to better predict climate change stage of change. 2021 Sustainability. 14 40-

  51. Nguyen-Sy, T. ; Wakim, J. ; To, Q.D. ; Vu, M.N. ; Nguyen, T.D. ; Nguyen, T.T. Predicting the compressive strength of concrete from its compositions and age using the extreme gradient boosting method. 2020 Construct. Build. Mater.. 260 -
    Paper not yet in RePEc: Add citation now
  52. Niu, D. ; Diao, L. ; Zang, Z. ; Che, H. ; Zhang, T. ; Chen, X. A machine-learning approach combining wavelet packet denoising with catboost for weather forecasting. 2021 Atmosphere. 12 1618-
    Paper not yet in RePEc: Add citation now
  53. NRCan, Oil supply and demand. 2019 Nat. Resour. Can.. 1 1-54
    Paper not yet in RePEc: Add citation now
  54. Pham, H. ; Jiang, X. ; Zhang, C. Causality and advanced models in trip mode prediction: interest in choosing swissmetro. 2022 OSF Prepr. -
    Paper not yet in RePEc: Add citation now
  55. Pi, Y. Machine learning in governments: benefits, challenges and future directions. 2021 eJournal eDemocracy Open Gov.. 13 203-219
    Paper not yet in RePEc: Add citation now
  56. Pineda-Jaramillo, J. ; Arbeláez-Arenas, Ó. Assessing the performance of gradient-boosting models for predicting the travel mode choice using household survey data. 2022 J. Urban Plann. Dev.. 148 -
    Paper not yet in RePEc: Add citation now
  57. Plananska, J. ; Gamma, K. Product bundling for accelerating electric vehicle adoption: a mixed-method empirical analysis of Swiss customers. 2022 Renew. Sustain. Energy Rev.. 154 -

  58. Prabhavathi, C. ; Mahesh, A. ; Ajay, S.V. ; Mythili, R. Malware prediction using XGBOOST and CATBOOST. 2022 J. Eng. Sci.. 13 620-626
    Paper not yet in RePEc: Add citation now
  59. Ramos-Real, F.J. ; Ramírez-Díaz, A. ; Marrero, G.A. ; Perez, Y. Willingness to pay for electric vehicles in island regions: the case of Tenerife (Canary Islands). 2018 Renew. Sustain. Energy Rev.. -

  60. Rezvani, Z. ; Jansson, J. ; Bodin, J. Advances in consumer electric vehicle adoption research: a review and research agenda. 2015 Transport. Res. Transport Environ.. 34 122-136
    Paper not yet in RePEc: Add citation now
  61. Salas, P. ; De la Fuente, R. ; Astroza, S. ; Carrasco, J.A. A systematic comparative evaluation of machine learning classifiers and discrete choice models for travel mode choice in the presence of response heterogeneity. 2022 Expert Syst. Appl.. 193 -
    Paper not yet in RePEc: Add citation now
  62. Shangguan, Q. ; Fu, T. ; Wang, J. ; Fang, S. ; Fu, L. A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns. 2022 Accid. Anal. Prev.. 164 -
    Paper not yet in RePEc: Add citation now
  63. Shen, J. Latent class model or mixed logit model? A comparison by transport mode choice data. 2009 Appl. Econ.. 41 2915-2924

  64. Simsekoglu, Ö. ; Nayum, A. Predictors of intention to buy a battery electric vehicle among conventional car drivers. 2019 Transport. Res. F Traffic Psychol. Behav.. 60 1-10
    Paper not yet in RePEc: Add citation now
  65. Sobiech-Grabka, K. ; Stankowska, A. ; Jerzak, K. Determinants of electric cars purchase intention in Poland: personal attitudes v. Economic arguments. 2022 Energies. 15 3078-

  66. Tutica, L. ; Vineel, K. ; Mishra, S. ; Mishra, M.K. ; Suman, S. Invoice deduction classification using LGBM prediction model. 2021 En : Lecture Notes in Electrical Engineering. Springer Science and Business Media Deutschland GmbH:
    Paper not yet in RePEc: Add citation now
  67. Vafaei-Zadeh, A. ; Wong, T.K. ; Hanifah, H. ; Teoh, A.P. ; Nawaser, K. Modelling electric vehicle purchase intention among generation Y consumers in Malaysia. 2022 Res. Transp. Bus. Manag.. 43 -
    Paper not yet in RePEc: Add citation now
  68. Wang, B. ; Waygood, E.O.D. ; Daziano, R.A. ; Patterson, Z. ; Feinberg, M. Does hedonic framing improve people's willingness-to-pay for vehicle greenhouse gas emissions?. 2021 Transport. Res. Transport Environ.. 98 -
    Paper not yet in RePEc: Add citation now
  69. Wang, S. ; Mo, B. ; Hess, S. ; Zhao, J. Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark. 2020 arXiv Prepr. arXiv2102. -
    Paper not yet in RePEc: Add citation now
  70. Wang, Y. ; Sherry Ni, X. A XGBOOST risk model via feature selection and bayesian hyper-parameter optimization. 2019 Int. J. Database Manag. Syst.. 11 1-17
    Paper not yet in RePEc: Add citation now
  71. Waygood, E.O.D. ; Wang, B. ; Daziano, R.A. ; Patterson, Z. ; Kohlová, M.B. The climate change stage of change measure: vehicle choice experiment. 2021 J. Environ. Plann. Manag.. -
    Paper not yet in RePEc: Add citation now
  72. Xun, J. ; Waygood, E.O.D. ; Wang, B. ; Naseri, H. ; Loiselle, L.A. ; Patterson, Zachary ; Feinberg, M. Exploring the effects of new framing techniques for greenhouse gas emissions. 2022 En : Transportation Research Board 101st Annual Meeting. Washington DC, United States. :
    Paper not yet in RePEc: Add citation now
  73. Zhou, Z. ; Wang, M. ; Huang, J. ; Lin, S. ; Lv, Z. Blockchain in big data security for intelligent transportation with 6G. 2021 IEEE Trans. Intell. Transport. Syst.. -
    Paper not yet in RePEc: Add citation now
  74. Zhu, S. ; Zhu, F. Cycling comfort evaluation with instrumented probe bicycle. 2019 Transport. Res. Part A Policy Pract.. 129 217-231

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  25. Willingness to Pay and Attitudinal Preferences of Indian Consumers for Electric Vehicles. (2021). Dubey, Subodh ; Kumar, Rajeev Ranjan ; Bansal, Prateek ; Graham, Daniel J ; Raj, Alok.
    In: Papers.
    RePEc:arx:papers:2101.08008.

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  26. Drivers’ preferences for electric cars in Italy. Evidence from a country with limited but growing electric car uptake. (2020). Rotaris, Lucia ; Danielis, Romeo ; Scorrano, Mariangela ; Giansoldati, Marco.
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:137:y:2020:i:c:p:79-94.

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  27. Towards decolonial human subjects in research on transport. (2020). Schwanen, Tim.
    In: Journal of Transport Geography.
    RePEc:eee:jotrge:v:88:y:2020:i:c:s0966692319308294.

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  28. Investigating the Influence of Consumer Behavior and Governmental Policy on the Diffusion of Electric Vehicles in Beijing, China. (2019). Tan, Zhongfu ; Yang, YE.
    In: Sustainability.
    RePEc:gam:jsusta:v:11:y:2019:i:24:p:6967-:d:294994.

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