{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/124329"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/124329","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"Impact of Real-Time Information and Road User Fees on Individuals Mode Choice Decision","abstract":"This 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.","abstract_html":"This 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.","abstract_has_math":false,"creators":["Hridoy, Daud Nabi"],"institution":"Virginia Tech","degree_name":"Master of Science","degree_level":"masters","degree_discipline":"Civil Engineering","degree_department":"Civil and Environmental Engineering","school":null,"contributors":[],"advisors":[],"committee_chairs":["Hasnine, Md Sami"],"committee_members":["Trani, Antonio A.","Hancock, Kathleen L."],"year":2024,"date_issued":"2024-12-02","date_published":"2024-12-02","updated_at":"2026-07-22T22:18:44Z","subjects":["Real-time information","MBUF","Fuel tax","Combine RP-SP","Survey design","Experimental design","Mode choice"],"languages":["en"],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10919/124329","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.committeechair","label":"Committee Chair","values":["Hasnine, Md Sami"]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Trani, Antonio A.","Hancock, Kathleen L."]},{"key":"dc:contributor.department","label":"Department","values":["Civil and Environmental Engineering"]},{"key":"dc:creator","label":"Author","values":["Hridoy, Daud Nabi"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-01-23T19:58:35Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2025-01-23T19:58:35Z"]},{"key":"dc:date.issued","label":"Date","values":["2024-12-02"]},{"key":"dc:publisher","label":"Institution","values":["Virginia Tech"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.dcmitype","label":"Dc Type Dcmitype","values":["Text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Civil Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Virginia Polytechnic Institute and State University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Real-time information","MBUF","Fuel tax","Combine RP-SP","Survey design","Experimental design","Mode choice"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["In Copyright"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10919/124329"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This 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."]},{"key":"dc:description.abstractgeneral","label":"General Abstract","values":["This research investigates how real-time information and mileage-based user fee (MBUF) influence individuals' mode choice behavior. 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. Using the collected data, the research estimates a series of models to understand the factors influencing 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. This research is crucial as it provides insights into understanding mode choice behavior and improving road congestion."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["Master of Science"]},{"key":"dc:format.medium","label":"Dc Format Medium","values":["ETD"]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Impact of Real-Time Information and Road User Fees on Individuals Mode Choice Decision"]}]}],"canonical_facts":{"dc:contributor.committeechair":["Hasnine, Md Sami"],"dc:contributor.committeemember":["Trani, Antonio A.","Hancock, Kathleen L."],"dc:contributor.department":["Civil and Environmental Engineering"],"dc:creator":["Hridoy, Daud Nabi"],"dc:date.accessioned":["2025-01-23T19:58:35Z"],"dc:date.available":["2025-01-23T19:58:35Z"],"dc:date.issued":["2024-12-02"],"dc:description.abstract":["This 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."],"dc:description.abstractgeneral":["This research investigates how real-time information and mileage-based user fee (MBUF) influence individuals' mode choice behavior. 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. Using the collected data, the research estimates a series of models to understand the factors influencing 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. This research is crucial as it provides insights into understanding mode choice behavior and improving road congestion."],"dc:description.degree":["Master of Science"],"dc:format.medium":["ETD"],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["https://hdl.handle.net/10919/124329"],"dc:language.iso":["en"],"dc:publisher":["Virginia Tech"],"dc:rights":["In Copyright"],"dc:rights.uri":["http://rightsstatements.org/vocab/InC/1.0/"],"dc:subject":["Real-time information","MBUF","Fuel tax","Combine RP-SP","Survey design","Experimental design","Mode choice"],"dc:title":["Impact of Real-Time Information and Road User Fees on Individuals Mode Choice Decision"],"dc:type":["Thesis"],"dc:type.dcmitype":["Text"],"thesis:degree_discipline":["Civil Engineering"],"thesis:degree_level":["masters"],"thesis:degree_name":["Master of Science"],"thesis:institution_name":["Virginia Polytechnic Institute and State University"]},"updated_at":"2026-07-22T22:18:44Z"}