Kar, Rubel Chandra (2024) Public Perception of Automated Shuttles for the Last-Mile Connectivity in Montreal. Masters thesis, Concordia University.
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Abstract
This thesis investigates the public perception and acceptance of automated shuttle services for last-mile connectivity in Montreal. Through a comprehensive survey, the study examines key factors influencing acceptance of the autonomous shuttle, including experience, awareness, comfort and safety level, trust in technology, benefits and barriers, and potential integration into urban transportation systems. A survey of Montreal residents (n=52) reveals key insights into demographic trends and attitudes towards autonomous vehicles (AVs). Results indicate a moderate familiarity with AVs (38.6%) compared to the US (70.90%), UK (66%), and Australia (61%). Despite this, Montrealer’s expressed positive sentiments towards AVs (54%), slightly higher than the UK and US. Concerns about safety (49% very concerned), legal liability (47.10% very concerned), and data privacy (63.50% very concerned) were prominent. Comfort levels with autonomous technology varied, with 38.45% having heard of autonomous shuttles but only 13.46% having boarded one. Respondents showed preference for level 3 automation (56%) over higher levels. Concerns about interactions with other vehicles, pedestrians, and bikers were noted. Overall, Montreal residents are open to AVs but harbor significant concerns, highlighting the need for targeted interventions to address safety, security, and privacy issues in deploying automated shuttle services effectively.
Keywords: Automated Shuttles, Comprehensive Survey, Urban Transportation, Demographic.
| Divisions: | Concordia University > Gina Cody School of Engineering and Computer Science > Concordia Institute for Information Systems Engineering |
|---|---|
| Item Type: | Thesis (Masters) |
| Authors: | Kar, Rubel Chandra |
| Institution: | Concordia University |
| Degree Name: | M.A. Sc. |
| Program: | Quality Systems Engineering |
| Date: | 4 July 2024 |
| Thesis Supervisor(s): | Awasthi, Anjali |
| Keywords: | Automated Shuttles, Comprehensive Survey, Urban Transportation, Demographic. |
| ID Code: | 994119 |
| Deposited By: | Rubel Chandra Kar |
| Deposited On: | 24 Oct 2024 19:08 |
| Last Modified: | 24 Oct 2024 19:08 |
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