Modelling individuals’ longer-term preferences towards autonomous vehicles and their effects on vehicle ownership
department or school: Applied Science, Faculty of
department or school: Engineering, School of (Okanagan)
data provider: DSpace
degree campus: UBCO
creator: Hossain, Md. Shahadat
issued: 2021-08-26T19:40:04Z
issued: 2021
related degree: Master of Applied Science - MASc
degree grantor: University of British Columbia
description: Autonomous vehicle (AV) promises to change the transportation landscape such as reducing traffic congestion and emissions. The success of this emerging technology largely depends on how individuals will adopt it. This thesis investigates individuals’ longer-term preferences for AVs, and their effects on vehicle ownership, specifically focusing on the preferences towards different levels of vehicle automation, AV ownership (AVO) and AV sharing (SAV), and vehicle transaction decisions in an AV future. A life history-oriented approach is adopted to examine the effects of historical experiences and changes over the life course, such as historical exposure to technology, the evolution of household characteristics, vehicle ownership history, historical measures of accessibility and built-environment on AV adoption. In addition, variables representing attitudinal factors, travel attributes, and socio-demographics are accommodated in the study. Data for the thesis comes from the retrospective survey conducted for the Okanagan region of British Columbia. In the case of preferences for different levels of vehicle automation, a random parameter rank-ordered logit model is developed to accommodate rank-ordered preferences for vehicular automation levels and capture unobserved heterogeneity. For preferences towards AVO and SAV, a joint bivariate ordered probit model is developed to address the error correlation between decisions. The study confirms that a significant error correlation exists, which indicates that the unobserved factors jointly affect the choice alternatives. A latent class random parameter logit modelling technique is utilized to capture heterogeneity while modelling vehicle transaction decisions in the AV future. The model results confirm the existence of historical deposition effects on individuals’ preferences towards AVs. For example, individuals with historical exposure to vehicle technology, such as availability of lane assist, parking assist, and autonomo…
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/79458
note: MODELLING INDIVIDUALS’ LONGER-TERM PREFERENCES TOWARDS AUTONOMOUS VEHICLES AND THEIR EFFECTS ON VEHICLE OWNERSHIP by Md Shahadat Hossain B.Sc., Bangladesh University of Engineering and Technology (BUET), 2017 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF APPLIED SCIENCE in THE COLLEGE OF GRADUATE STUDIES (Civil Engineering) THE UNIVERSITY OF BRITISH COLUMBIA (Okanagan) August 2021 © Md Shahadat Hossain, 2021 ii The following individuals certify that they have read, and recommend to the Faculty of Graduate and Postdoctoral Studies for acceptance, the dissertation entitled: MODELLING INDIVIDUALS’ LONGER-TERM PREFERENCES TOWARDS AUTONOMOUS VEHICLES AND THEIR EFFECTS ON VEHICLE OWNERSHIP submitted by Md Shahadat Hossain in partial fulfillment of the requirements for the degree of Master of Applied Science in Civil Engineering Examining Committee: Dr. Mahmudur Fatmi, School of Engineering Supervisor Dr. Gordon Lovegrove, School of Engineering Supervisory Committee Member Dr. Zheng Liu, School of Engineering Supervisory Committee Member Dr. Mohammad Khalad Hasan University Examiner iii Abstract Autonomous vehicle (AV) promises to change the transportation landscape such as reducing traffic congestion and emissions. The success of this emerging technology largely depends on how individuals will adopt it. This thesis investigates individuals’ longer-term preferences for AVs, and their effects on vehicle ownership, specifically focusing on the preferences towards different levels of vehicle automation, AV ownership (AVO) and AV sharing (SAV), and vehicle transaction decisions in an AV future. A life history-oriented approach is adopted to examine the effects of historical experiences and changes over the life course, such as historical exposure to technology, the evolution of household characteristics, vehicle ownership history, historical measures of accessibility and built-environment on AV adoption. In addition, variables repres…
has type: Thesis/Dissertation
date issued: 2021-09
is shown at: 10.14288/1.0401730
language: eng
degree discipline: Civil Engineering
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
contributor: Fatmi, Mahmudur Rahman
type: Text
identifier URI: http://hdl.handle.net/2429/79458