IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1905.11606.html
   My bibliography  Save this paper

Perceived Advantage in Perspective Application of Integrated Choice and Latent Variable Model to Capture Electric Vehicles Perceived Advantage from Consumers Perspective

Author

Listed:
  • Milad Ghasri
  • Ali Ardeshiri
  • Taha Rashidi

Abstract

Relative advantage, or the degree to which a new technology is perceived to be better over the existing technology it supersedes, has a significant impact on individuals decision of adopting to the new technology. This paper investigates the impact of electric vehicles perceived advantage over the conventional internal combustion engine vehicles, from consumers perspective, on their decision to select electric vehicles. Data is obtained from a stated preference survey from 1176 residents in New South Wales, Australia. The collected data is used to estimate an integrated choice and latent variable model of electric vehicle choice, which incorporates the perceived advantage of electric vehicles in the form of latent variables in the utility function. The design of the electric vehicle, impact on the environment, and safety are three identified advantages from consumers point of view. The model is used to simulate the effectiveness of various policies to promote electric vehicles on different cohorts. Rebate on the purchase price is found to be the most effective strategy to promote electric vehicles adoption.

Suggested Citation

  • Milad Ghasri & Ali Ardeshiri & Taha Rashidi, 2019. "Perceived Advantage in Perspective Application of Integrated Choice and Latent Variable Model to Capture Electric Vehicles Perceived Advantage from Consumers Perspective," Papers 1905.11606, arXiv.org, revised Nov 2019.
  • Handle: RePEc:arx:papers:1905.11606
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1905.11606
    File Function: Latest version
    Download Restriction: no
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:1905.11606. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.