A discrete choice experiment on consumer’s willingness-to-pay for vehicle automation in the Greater Toronto Area

Autonomous vehicles (AVs) are around the corner, and adopting this technology will create a revolution in the transportation system. Mass adoption of AVs might have both positive and negative impacts to travel demand and the transportation system. How society adopts, matters. Several studies show that private AVs might lead to more travel demand and dispersed urban patterns, but shared AVs might contribute otherwise. This paper presents an overview of and a modelling work on a dataset collected in the Greater Toronto Area (GTA) to understand consumers' willingness-to-pay for various automation levels in their vehicles simultaneously with private and shared ownership types. The study used 190 records from a reasonably representative sample collected from the study area. Heteroskedastic error-component mixed multinomial and nested logit models are formatted for different vehicle ownerships in this study. Strong inertia effect of staying with private conventional vehicles (PCVs) is identified. The authors also discover that private vehicle buyers will find level 4 vehicles attractive, whereas car-sharing service users will favour level 5 vehicles. For level 4 vehicles, consumers are willing to pay from CAN $ 10,800 to CAN $ 29,800, depending on the vehicle price. The authors also find that respondents’ age, family members' health conditions, commuting conditionals, and household incomes will influence their willingness to pay for owning AVs.

• Record URL:
  https://doi.org/10.1016/j.tra.2021.04.020
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S096585642100118X
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09658564
• Supplemental Notes:
  • © 2021 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Wang, Kaili
  • Salehin, Mohammad Faizus
  • Habib, Khandker Nurul
• Publication Date: 2021-7

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 12-30
• Serial:
  • Transportation Research Part A: Policy and Practice
  • Volume: 149
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0965-8564
  • Serial URL: http://www.sciencedirect.com/science/journal/09658564

Subject/Index Terms

• TRT Terms: Age; Automobile ownership; Autonomous vehicles; Commuting; Consumer behavior; Costs; Driving automation levels; Health; Households; Income; Logits; Multinomial logits
• Geographic Terms: Toronto (Canada)
• Subject Areas: Economics; Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01778310
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 29 2021 12:04PM