Abstract
Travel information is widely available in different forms through various sources. This wide availability of travel information is believed to influence travellers’ daily activity-travel patterns. To understand and model the impact of travel information on traveller’s decision processes, the authors proposed a Bayesian framework to represent the decision and learning process under conditions of uncertainty, given travel information and nonstationary transportation environments. The value of travel information is conceptualized as the extent to which the information allows an individual to make better decisions by reducing the uncertainty during both the scheduling and rescheduling stages. In this paper, the model is further developed with more realistic features.
| Original language | English |
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| Title of host publication | Proceedings of CUPUM 05, Computers in Urban Planning and Urban Management, 30-Jun-2005, London |
| Place of Publication | London |
| Publisher | University College London |
| Pages | paper-87 |
| Publication status | Published - 2005 |
| Event | 9th International Conference on Computers in Urban Planning and Urban Management (CUPUM 2005), June 29-July 1, 2005, London, UK - CUPUM 2005, London, United Kingdom Duration: 29 Jun 2005 → 1 Jul 2005 |
Conference
| Conference | 9th International Conference on Computers in Urban Planning and Urban Management (CUPUM 2005), June 29-July 1, 2005, London, UK |
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| Abbreviated title | CUPUM 2005 |
| Country/Territory | United Kingdom |
| City | London |
| Period | 29/06/05 → 1/07/05 |