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Title: Modelling the acquisition of travel information and its influence on travel behaviour
Author: Maréchal, Séverine
ISNI:       0000 0004 5989 7211
Awarding Body: Imperial College London
Current Institution: Imperial College London
Date of Award: 2016
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This thesis contributes to the wider literature on the provision of travel information, and the associated response in travel patterns, by considering the acquisition of information sources as a choice, investigating its role in the choice of travel, and jointly modelling both behaviours. A novel conceptual framework is developed that considers both information and travel in a joint portfolio choice. An implementation framework is consequently formulated based on important assumptions, and two application contexts are defined. First, the strategic decision of acquiring information is considered for the first time as a consumption of a portfolio of information sources. Second, in disrupted travel conditions, the tactical decision to access information sources is conditioned in its choice set by alternatives that were strategically chosen. A revealed-preference survey instrument is innovatively developed to collect a rich and unique dataset about how travellers in the London public transport network acquire and use travel information and how they react to disrupted conditions on their usual commute. In the strategic context, results from the empirical study provide insights into individual's satiation with specific information sources based on the frequency of use, and the effect of cognitive costs. In the tactical context, the results highlight commuters' preferences for a combination of sources, in respect to the importance of delay amplitude and previous travel experience, the accuracy, and monetary and cognitive costs of sources, as well as the attitudinal motivation for seeking information. Travel responses are not demographic dependent, but are linked to corroboration of the information and the use of specific combinations of sources. Different applications of the models illustrate the impacts of those factors on travel behaviour and information acquisition. They emphasize useful contributions for service providers when envisaging information use, and for public transport operators and planners when predicting traveller response.
Supervisor: Polak, John ; Sivakumar, Aruna Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available