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A sound understanding of travellers’ behavioural changes and adaptation when facing a natural disaster is a key factor in efficiently and effectively managing transport networks at such times. This study specifically investigates the importance of travel/traffic information and its impact on travel behaviour during natural disasters. Using the 2011 Brisbane flood as a case study, survey respondents’ perceptions of the importance of travel/traffic information before, during, and after the flood were modelled using random-effects ordered logit. A hysteresis phenomenon was observed: respondents’ perceptions of the importance of travel/traffic information increased during the flood, and although its perceived importance decreased after the flood, it did not return to the pre-flood level. Results also reveal that socio-demographic features (such as gender and age) have a significant impact on respondents’ perceptions of the importance of travel/traffic information. The roles of travel time and safety in a respondent’s trip planning are also significantly correlated to their perception of the importance of this information. The analysis further shows that during the flood, respondents generally thought that travel/traffic information was important, and adjusted their travel plans according to information received. When controlling for other factors, the estimated odds of changing routes and cancelling trips for a respondent who thought that travel/traffic information was important, are respectively about three times and seven times the estimated odds for a respondent who thought that travel/traffic information was not important. In contrast, after the flood, the influence of travel/traffic information on respondents’ travel behaviour diminishes. Finally, the analysis shows no evidence of the influence of travel/traffic information’s on respondents’ travel mode; this indicates that inducing travel mode change is a challenging task. [ABSTRACT FROM AUTHOR]

Highlights: [•] We analyze the efficient allocation of probe devices to taxi dispatch centers. [•] Pass frequency and required sample size are modeled from actual data. [•] Efficiency is defined as the probability of satisfying the required sample size. [•] Efficiency of data collection changes according to the data collection period. [•] Efficient data collection requires the allocation of probe devices to suburban areas. [Copyright &y& Elsevier]

Abstract: In the present study, we investigate the impact of real-time traffic information on traveller behaviour by using repeated day-to-day revealed-preference (RP) observations from a reward experiment. We estimate a trip scheduling model of morning peak behaviour that allows us to determine the impact of traffic information on travel behaviour. Specifically, we distinguish between the marginal impact of expected travel times versus that of deviations from this expectation upon user behaviour. We find that participants to the experiment who were given access to a smart-phone displaying real-time traffic information react to the daily variations in travel times stronger than they had done in the pre-trial period. This we interpret as evidence that provision of traffic information indeed affects behaviour. However, we also find that participants who were not given the smart-phone also respond to daily variations in travel times – suggesting that these drivers use other sources of information to help their trip planning, or were better capable of processing information available into travel time predictions. [Copyright &y& Elsevier]

Examines the informational assumptions imbedded systems in traffic simulations. Provision of better information to travelers; Evaluation of the benefits of Advanced Travelers Information Systems; Emphasis on route selection decisions; Assessment of the effect of model assumptions on the results.

Evaluates the services provided by Advanced Travelers Informations Systems (ATIS) under the assumption that information supplied to drivers would be perfect. Lack of sufficiently useful data and systems design; Role of the ATIS in providing route guidance to drivers; Description of the model used to answer route quality evaluation.

Studies the effect of traffic information on Seattle, Washington-area commuters. Models of commuters' route-change frequency; Influence of pre-trip traffic information on departure-time choice, mode choice and route choice; Use of modelling techniques in estimations; Design, implementation and marketing of traveler information systems.

Focuses on the benefits from Advanced Traveler Information Systems (ATIS) in corridors under incident conditions. Development and application of a deterministic queuing model to an idealized corridor composed of two routes; Results and implications.

Presents the results of a quantitative analysis of driver recruitability conducted to aid in the design of recruitment procedures for Advanced Driver and Vehicle Advisory Navigation Concept (ADVANCE). Results and implications for the recruitment effort both in terms of recruiting drivers for participation in the demonstration and specifying the operational details of the field test.