Case Studies on Transport Policy, Journal Year: 2024, Volume and Issue: 17, P. 101244 - 101244
Published: June 12, 2024
This paper develops an integrated urban modelling framework (IUMF) to predict how work from home (WFH) decision affects travel behavior. First, it conducts a questionnaire survey among working professionals in Halifax, Canada, collect data on their socio-demographic characteristics, mode choice, vehicle ownership, and work-arrangement. Bayesian Belief network models are developed using the collected responses calculate cumulative probability tables (CPTs) of variables associated with WFH. Next, ascertained CPTs used as input extend that is further utilized simulate individuals' choices behavior up 2025 for Canada. Results indicate around 57% workers would like WFH 7% wants relocate closer workplace. The model forecasts significant preference remote individuals offices core. also show auto share increased 79% 2024, whereas transit, walking biking trips decreased. Average distance higher post-pandemic compared pre-pandemic, while telecommuters found be than non-telecommuters. Statistically differences observed between non-telecommuters 'number activities' 'distance travelled' day. outcomes this study will offer policy makers better understanding long-term impacts transport land-use systems help develop effective demand management strategies.
Language: Английский