Modelling the adoption intention and installation choice of an automotive after-market mild-solar-hybridization kit |
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| Institution: | 1. Department of Civil Engineering, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, SA, Italy;2. Department of Industrial Engineering, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, SA, Italy;1. Department of Sociology, Kent State University, USA;2. Department of Anthropology, Sociology and Social Work, Eastern Kentucky University, USA;3. Department of Sociology, Kent State University at Stark, USA;4. Department of Sociology and Social Work, Jacksonville State University, USA;1. Hampton University, Hampton, VA 23668, USA;2. Theory Center, Thomas Jefferson National Accelerator Facility, 12000 Jefferson Avenue, Newport News, VA 23606, USA;3. Physics Division, Argonne National Laboratory, 9700 S. Cass Avenue, Lemont, IL 60439, USA;4. Dipartimento di Fisica, Università di Pavia, via Bassi 6, I-27100 Pavia, Italy;5. INFN, Sezione di Pavia, via Bassi 6, I-27100 Pavia, Italy;1. Institute of Mathematics of the Polish Academy of Sciences, ul. Śniadeckich 8, 00-656 Warsaw, Poland;2. College of Mathematics, Physics and Information Engineering, Jiaxing University, Yuexiu Road (South) 56, 314001 Zhejiang, China;3. School of Mathematics, University of Southampton, Highfield SO17 1BJ, United Kingdom |
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| Abstract: | Despite the recent commercial success of hybrid, plug-in hybrid and electric vehicles their market share is still insufficient to produce either a significant impact on energy consumption on a global basis or a profitable automotive segment. In this context, the possibility of upgrading conventional vehicles to hybrid electric vehicles is gaining increasing interest.To this aim this paper investigated and modelled the intention to install an after-market hybridization solar-kit (HySolarKit) in order to ascertain the main behavioural determinants of the choice process and set up an operational model with which to estimate the market potential of such technology. In particular, two behavioural stages of the choice process were analysed and modelled: (i) the intention to adopt the HySolarKit; (ii) the choice to install the HySolarKit. Both issues were addressed through ad hoc stated preference surveys carried out in two different Italian cities, and through the specification and the calibration of discrete choice models based on the behavioural paradigm of random utility theory. Different modelling solutions (homoscedastic and heteroscedastic) were compared in terms of goodness-of-fit and sensitivity to level-of-service attributes. The results showed the technological potential of the HySolarKit, and that both behavioural stages may be effectively modelled through random utility theory. Estimation results allowed an interpretation of the main determinants of the investigated phenomena, making it possible to quantify the potential effects and the concerns towards such a green solution, and making it possible to draw up operative marketing strategies. In particular, the intention to adopt the kit mainly depends on socio-economic factors as well as activity-related and attitudinal attributes, whereas the probability of installing the kit is greatly affected, to the same extent, by installation cost, the charging cost and the weekly mileage driven. |
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| Keywords: | Hybrid vehicles After-market hybridization kit Intention to adopt Choice to install Discrete choice model Random utility |
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