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The demand for automated vehicles: A synthesis of willingness-to-pay surveys

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  • Elvik, Rune

Abstract

This paper synthesises the findings of surveys of consumer willingness-to-pay for vehicle automation. Some studies report only mean or median estimates of willingness-to-pay for vehicle automation. Other studies provide data enabling demand functions to be derived. Six demand functions have been estimated and are compared. Maximum willingness-to-pay (around 25,000 to 40,000 US dollars) exceeds low estimates of the added costs of automated vehicles (around 10,000 US dollars). On average, close to 30% of respondents state zero willingness to pay more for an automated car than for a conventional car. Based on current knowledge, it is likely that a majority of consumers will initially find automated vehicles too expensive. However, the price of automated vehicles can be expected to fall as technology matures and vehicles are manufactured in larger numbers.

Suggested Citation

  • Elvik, Rune, 2020. "The demand for automated vehicles: A synthesis of willingness-to-pay surveys," Economics of Transportation, Elsevier, vol. 23(C).
    • Handle: RePEc:eee:ecotra:v:23:y:2020:i:c:s2212012220300666
    DOI: 10.1016/j.ecotra.2020.100179
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    References listed on IDEAS

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    Cited by:

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    2. Erdmann, Anett & Mas, José Manuel & de Obesso, Mercedes, 2023. "Disruptive technologies: How to influence price sensitivity triggering consumers’ behavioural beliefs," Journal of Business Research, Elsevier, vol. 158(C).
    3. Guan, Jinping & Chen, Kexin & Mao, Runfei & Shamshiripour, Ali & Zhang, Xiaochun & Liang, Chen & Ben-Akiva, Moshe, 2024. "The willingness to pay for the automated vehicle subscription: Insights from a car-oriented population in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 188(C).
    4. Ziakopoulos, Apostolos & Oikonomou, Maria G. & Vlahogianni, Eleni I. & Yannis, George, 2021. "Quantifying the implementation impacts of a point to point automated urban shuttle service in a large-scale network," Transport Policy, Elsevier, vol. 114(C), pages 233-244.

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