Cyclists perception and self-reported behaviour towards interacting with fully automated vehicles

Xiaomeng Li*, Amir Pooyan Afghari, Oscar Oviedo-Trespalacios, Sherrie Anne Kaye, Narelle Haworth

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Fully automated vehicles (FAVs) have the potential to improve road safety and reduce traffic congestion and emissions. Most studies of acceptance of FAVs have focused on motor vehicle users, largely ignoring other road users, such as cyclists. This study investigates the factors that influence cyclists’ receptivity towards sharing roads with FAVs and their behavioural intentions in interactions with FAVs. The online survey collected information on participant demographics (e.g. age, gender, crash experience), self-reported on-road cycling behaviours (e.g. violations, errors, positive behaviours) and their receptivity towards sharing roads with FAVs (e.g. attitude, social norms, trust). Three typical cyclist-vehicle interaction scenarios were presented to test the cyclists’ intention to engage in self-protective behaviours (e.g. giving a hand signal, giving way or moving over) during the interaction with a FAV. Three hundred and fourteen Australian adults (106 females vs 208 males) who had ridden a bicycle at least once in the past year completed the survey. The results show that older cyclists and male cyclists had a lower receptivity towards sharing roads with FAVs than younger cyclists and female cyclists, respectively. Cyclists who reported being involved in a bicycle crash in the last two years and those who reported committing more errors on roads were more willing to share roads with FAVs. Cyclists who had a higher propensity to risky behaviours and positive behaviours were less likely to take intended self-protective behaviours during interaction with FAVs. Findings of the study provide some insights from the cyclist's perspective to facilitate the development and implementation of automated vehicles.
Original languageEnglish
Article number103713
JournalTransportation Research Part A: Policy and Practice
Volume173
DOIs
Publication statusPublished - 2023

Keywords

  • Cyclists
  • Driverless cars
  • Human-robot interaction
  • Road sharing
  • Technology acceptance

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