%0 Journal Article %1 Mahmassani1999 %A Mahmassani, Hani S. %A Liu, Yu-Hsin %D 1999 %J Transportation Research Part C: Emerging Technologies %K atis transport traveller travel transportation advancedtravellerinformationsystems publictransport %N 2-3 %P 91 - 107 %R 10.1016/S0968-090X(99)00014-5 %T Dynamics of commuting decision behaviour under advanced traveller information systems %U http://www.sciencedirect.com/science/article/pii/S0968090X99000145 %V 7 %X This paper addresses departure time and route switching decisions made by commuters in response to Advanced Traveller Information Systems (ATIS). It is based on the data collected from an experiment using a dynamic interactive travel simulator for laboratory studies of user responses under real-time information. The experiment involves actual commuters who simultaneously interact with each other within a simulated traffic corridor that consists of alternative travel facilities with differing characteristics. These commuters can determine their departure time and route at the origin and their path en-route at various decision nodes along their trip. A multinomial probit model framework is used to capture the serial correlation arising from repeated decisions made by the same respondent. The resulting behavioural model estimates support the notion that commuters' route switching decisions are predicated on the expectation of an improvement in trip time that exceeds a certain threshold (indifference band), which varies systematically with the remaining trip time to the destination, subject to a minimum absolute improvement (about 1 min).

@article{Mahmassani1999, abstract = {This paper addresses departure time and route switching decisions made by commuters in response to Advanced Traveller Information Systems (ATIS). It is based on the data collected from an experiment using a dynamic interactive travel simulator for laboratory studies of user responses under real-time information. The experiment involves actual commuters who simultaneously interact with each other within a simulated traffic corridor that consists of alternative travel facilities with differing characteristics. These commuters can determine their departure time and route at the origin and their path en-route at various decision nodes along their trip. A multinomial probit model framework is used to capture the serial correlation arising from repeated decisions made by the same respondent. The resulting behavioural model estimates support the notion that commuters' route switching decisions are predicated on the expectation of an improvement in trip time that exceeds a certain threshold (indifference band), which varies systematically with the remaining trip time to the destination, subject to a minimum absolute improvement (about 1 min).}, added-at = {2011-07-19T11:54:06.000+0200}, author = {Mahmassani, Hani S. and Liu, Yu-Hsin}, biburl = {https://www.bibsonomy.org/bibtex/2efba4069efe5933a96f93eb7d678c378/enitsirhc}, description = {ScienceDirect - Transportation Research Part C: Emerging Technologies : Dynamics of commuting decision behaviour under advanced traveller information systems}, doi = {10.1016/S0968-090X(99)00014-5}, interhash = {403fa5de0fe8fb9c445b2bdfcfa35f7e}, intrahash = {efba4069efe5933a96f93eb7d678c378}, issn = {0968-090X}, journal = {Transportation Research Part C: Emerging Technologies}, keywords = {atis transport traveller travel transportation advancedtravellerinformationsystems publictransport}, number = {2-3}, pages = {91 - 107}, timestamp = {2011-07-19T17:27:17.000+0200}, title = {Dynamics of commuting decision behaviour under advanced traveller information systems}, url = {http://www.sciencedirect.com/science/article/pii/S0968090X99000145}, volume = 7, year = 1999 }