1,720,993 research outputs found
Traveler response to information
No full textThe past few years have witnessed an impressive progress in the capabilities of travel information services. It is expected that in a few years, travelers will be constantly informed, pre-trip as well as en-route, about their optimal departure time, route and transport mode. The information is based on a careful monitoring of the transport network as well as travelers' personal preferences and schedules. Traffic jams, train delays and the like will no longer be unpleasant surprises. Unfortunately, our knowledge concerning how travelers will respond to this stream of increasingly advanced information seriously lags behind these technological advances themselves. A number of important questions have not been addressed adequately yet: To what extent do travelers actually use information available to them? Are they able to deal in an intelligent way with the immense complexity that is associated with travel in nowadays dense and multimodal transport networks? This dissertation answers these and other questions by integrating theories from the fields of microeconomics, psychology, marketing and transportation into mathematical models of traveler behavior. Subsequently, a computer-based travel environment is developed that simulates actual travel situations (involving for example time pressure, traffic jams and train delays). By observing the behavior of hundreds of participants to an experiment using the artificial travel environment, a unique dataset is obtained. Advanced econometrical analyses of the data show that the developed theoretical models form an adequate description of actual traveler behavior. And more importantly, they suggest that travelers are pretty good at dealing intelligently with complex travel situations and sophisticated information services.Technology, Policy and Managemen
Turning the light on in Virginia: New perspectives on choice behavior modeling
No full textEngineering, Systems and ServicesTechnology, Policy and Managemen
Paving the way towards superstar destinations: Models of convex demand for quality
No full textThis article highlights the importance for urban planning, of the under-researched notion of superstar destinations. Furthermore, it presents and compares destination choice models that generate a convex demand for destination quality, and thereby explain and predict the existence of so-called superstar destinations. When compared to their competition, superstar destinations are much more popular than differences in quality between the superstar and other destinations would suggest at first sight. Although convexity of demand for quality is a known precondition for the existence of superstars, it remains unclear what mechanism might cause this imperfect substitution between different quality levels. The article proposes several choice models that generate a convexity of demand for quality, thereby paving the way for (modelling) the existence of superstar destinations. These models are compared using numerical simulations, which show that each of the proposed models has the potential to generate superstar effects, although for most models the effect decreases for larger choice sets. Results suggest that including reference-dependency into choice models helps overcome this potential limitation, as it leads to superstar effects for larger choice sets typically encountered in real life destination choice situations.Transport and Logistic
How to keep your AV on the right track? An obfuscation-based model of decision-making by autonomous agents
No full textTransport and Logistic
Open Access Symposium: Opening & An editor-in-chief’s perspective
No full textEngineering, Systems and ServicesTechnology, Policy and Managemen
Travel pattern transitions: A study on the effects of life events on changes in travel patterns
No full textIn this thesis the relatively new method of latent transition analysis is applied within the mobility biographies framework to assess how life events influence changes in travel behaviour. Using transition analysis, it is assessed how people switch between different travel patterns over time. Data from the first three waves of the Netherlands Mobility Panel (MPN) is used to reveal different travel patterns and analyse transitions between these patterns over time. Six different meaningful travel patterns are used to asses transitions between these patterns over time. Four exogenous variables and six life events within the household-, employment- and residential biography are included to assess their effect on people’s transitions between the travel patterns. For all life events significant effects are found, indicating that there might indeed be ‘windows of opportunity’ to change travel behaviour when a life event occurs. The results show that, on average, people who only use a single mode are less likely to change their travel pattern compared to people who show a travel pattern that includes multiple modalities. In addition, the effects of life events and exogenous variables depend on initial travel pattern membership. For example, strict car users are generally less affected by life events than the other travel patterns. This indicates that it is important to include past travel behaviour within mobility biographies studies.Technology, Policy and ManagementTransport, Infrastructure & Logistic
Value of time – A citizen perspective
No full textThe dominant empirical approach to infer Value of Time is based on experiments in which respondents are typically asked to make hypothetical travel choices as if they were paying travel costs from their own budget, in exchange for personal travel time gains. However, many scholars have argued that such travel choice decisions of individuals in their role of consumer of mobility are likely to be a poor proxy of how they in their role of citizen believe government should spend tax money to generate travel time gains for large numbers of travelers. So far, this possible deviation between what we call ‘consumer VoT’ and ‘citizen VoT’ has not been studied empirically. In this paper, we fill this gap, by designing a Stated Choice experiment with eight different frames; some representing a typical consumer choice situation, others gradually approaching a citizen perspective. We find that individuals’ willingness to pay from previously collected tax money for travel time gains created by a government policy, is significantly higher than their willingness to pay, from their after tax income, for time gains obtained by choosing a different route. This result implies that citizen VoT is higher than consumer VoT. This difference does not stem from a stronger willingness to spend previously collected tax money compared to spending one's own income, but from a difference in the value attached to travel gains: a travel time gain resulting from government action is valued more than the same travel time gain obtained by one's own route choices. This and a range of other empirical results are discussed in depth, in light of the conceptual differences between preferences of individuals in a role of consumer or citizen.Accepted Author ManuscriptTransport and Logistic
Task Complexity and Time Pressure: Impacts on Activity-Travel Choices
No full textTask complexity and time pressure may have impacts on travellers’ choices in the context of highly synchronised mobility networks. However, it is unclear at the moment how these two aspects should be properly modelled simultaneously and what these impacts of the two aspects really are on travellers’ choices. Consequently, this research aims to capture these possible impacts, by developing relevant discrete choice models and collecting relevant Stated Preference data.Engineering Systems and ServicesTechnology, Policy and Managemen
The Effects of Information and Communication Technologies on Accessibility
No full textIt is expected that information and communication technology (ICT) can have great impacts on traveler’s accessibility. However, understanding of the effects of ICT on accessibility is still limited. Consequently, this thesis aims to increase the understanding of such effects. The thesis develops a generic formal integrative behavioral model to measure the effects of different forms of ICT on accessibility, and also provides substantive insights into ICT’s effects on accessibility.Transport and LogisticsTechnology, Policy and Managemen
A Generalized Random Regret Minimization Model
Full text linkThis paper presents, discusses and tests a generalized Random Regret Minimization (G-RRM) model. The G-RRM model is created by replacing a fixed constant in the attribute-specific regret functions of the RRM model, by a regret-weight variable. Depending on the value of the regret-weights, the G-RRM model generates predictions that equal those of, respectively, the canonical linear-in-parameters Random Utility Maximization (RUM) model, the conventional Random Regret Minimization (RRM) model, and hybrid RUM-RRM specifications. When the regret-weight variable is written as a binary logit function, the G-RRM model can be estimated on choice data using conventional software packages. As an empirical proof of concept, the G-RRM model is estimated on a stated route choice dataset, and its outcomes are compared with RUM and RRM counterparts.Infrastructures, Systems and ServicesTechnology, Policy and Managemen
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