Modelling activity generation and scheduling decisions, and exploring the interplay with telecommuting
department or school: Applied Science, Faculty of
department or school: Engineering, School of (Okanagan)
data provider: DSpace
degree campus: UBCO
creator: Khaddar, Shivam
issued: 2024-06-06T16:54:11Z
issued: 2024
related degree: Doctor of Philosophy - PhD
degree grantor: University of British Columbia
description: The thesis presents novel econometric structures to model daily activity-travel behaviour of an individual including their activity generation and activity scheduling decisions, and their variation based on work arrangement such as telecommuting. The central concept is to adopt advanced modelling techniques to understand how time use decisions such as activity participation, travel decisions such as travel mode choice and land use decisions such as destination choice are interdependent. In the case of activity generation, individual’s choices of activity engagement time allocation, frequency, and their destinations are modelled. For example, a multiple discrete continuous extreme value model with ordered preferences (MDCEV-OP) is formulated to address individual’s activity engagement and duration decisions at a disaggregated episode-level while accounting for activity frequency. Furthermore, a multinomial logit model is utilized to explore destination choices and a logsum based feedback mechanism is adopted to investigate the influence of destination choices on activity generation decisions. In case of activity scheduling decisions, individual’s choices such as activity start time, mode, companionship, and destination location are modelled. A joint discrete choice modelling framework is adopted to investigate these choices and capture interdependencies among them. Additionally, various advanced modelling techniques were adopted to investigate the choice of telecommuting and their influence on activity generation, vehicle kilometre travelled and other teleactivities. In this context, the MDCEV-OP model is utilized to explore variation in activity time use behaviour between telecommuters and non-telecommuters. Moreover, an endogenous switching regression modelling approach is utilized to investigate the decision to become telecommuters and non-telecommuters, and the associated heterogeneity in their travel outcomes such as vehicle kilometre travelled. Lastly, a multiv…
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/88411
note: MODELLING ACTIVITY GENERATION AND SCHEDULING DECISIONS, AND EXPLORING THE INTERPLAY WITH TELECOMMUTING by Shivam Khaddar M.Eng., University of Ottawa, 2020 B.Tech., Christ University, 2018 A DISSERTATION SUBITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in THE COLLEGE OF GRADUATE STUDIES (Civil Engineering) THE UNIVERSITY OF BRITISH COLUMBIA (Okanagan) June 2024 © Shivam Khaddar, 2024ii The following individuals certify that they have read, and recommend to the College of Graduate Studies for acceptance, a dissertation entitled: MODELLING ACTIVITY GENERATION AND SCHEDULING DECISIONS, AND EXPLORING THE INTERPLAY WITH TELECOMMUTING submitted by SHIVAM KHADDAR in partial fulfillment of the requirements of the degree of DOCTOR OF PHILOSOPHY. Dr. Mahmudur Fatmi, School of Engineering Supervisor Dr. Kasun Hewage, School of Engineering Supervisory Committee Member Dr. Zheng Liu, School of Engineering Supervisory Committee Member Dr. Babak Mohamadpour Tosarkani, School of Engineering University Examiner Dr. Mathew Roorda, University of Toronto External Examiner iii ABSTRACT The thesis presents novel econometric structures to model daily activity-travel behaviour of an individual including their activity generation and activity scheduling decisions, and their variation based on work arrangement such as telecommuting. The central concept is to adopt advanced modelling techniques to understand how time use decisions such as activity participation, travel decisions such as travel mode choice and land use decisions such as destination choice are interdependent. In the case of activity generation, individual’s choices of activity engagement time allocation, frequency, and their destinations are modelled. For example, a multiple discrete continuous extreme value model with ordered preferences (MDCEV-OP) is formulated to address individual’s activity engagement and duration decisions at a disaggregated episode-level while accounting for acti…
has type: Thesis/Dissertation
date issued: 2024-09
is shown at: 10.14288/1.0443912
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/2429/88411