Hridoy, Daud Nabi2025-01-232025-01-232024-12-02https://hdl.handle.net/10919/124329This research investigates the impact of multi-source real-time information and mileage-based user fee (MBUF) on individuals' mode choice behavior. It examines the interaction between MBUF and socio-demographic variables for different trip purposes. This research designs two separate web-based surveys. Each survey has revealed preference (RP) and stated preference (SP) components. The SP components consist of hypothetical scenarios to capture individuals' mode choice behavior based on real-time information and MBUF. The research develops a series of advanced econometric models using the collected survey data to understand the factors influencing individuals' mode choice behavior. The findings indicate that daily parking costs significantly impact individuals' mode choices and tend to discourage driving. Real-time information, such as parking space availability at workplaces and metro stations, encourages people to prefer drive and park & ride modes. Information on road closures and road accidents discourages people from driving, riding as auto-passengers, or taking TNC (Uber/Lyft) for trip purposes. Regarding MBUF, the results reveal that individuals are less likely to prefer motorized modes with the increased rate of MBUF. Full-time workers show more sensitivity towards MBUF for work trips, whereas college students are more sensitive to MBUF for recreational trips. Older adults are more sensitive to MBUF for work trips, and young individuals are more sensitive to MBUF for work and grocery/shopping trips. The results show that increased fuel costs, toll costs, bus fares, and delays reduce the likelihood of driving alone, carpooling, and transit. The findings of this research provide critical insights, supporting the implementation of evidence-based strategies to promote alternative sustainable transportation modes in the presence of real-time information and MBUF.ETDapplication/pdfenIn CopyrightReal-time informationMBUFFuel taxCombine RP-SPSurvey designExperimental designMode choiceThesis