Thibaut Jean Pierre Dubernet


Last Name

Dubernet

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Thibaut Jean Pierre

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0000-0001-9741-9999

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2011 - 2019372020 - 20215
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Publications 1 - 10 of 42
  • Comparing short- and long-term values of travel time savings derived from a joint modelling framework
    Item type: Working Paper
    Dubernet, Ilka; Dubernet, Thibaut Jean Pierre; Axhausen, Kay W. (2017)
    Arbeitsberichte Verkehrs- und Raumplanung
    The value of travel time is an important element of cost-benefit analysis for appraisal of trans- portation project, by encapsulating the willingness to pay of the population for improvements in the transport system. Those values are typically obtained from mobility choice data, in the form of revealed or stated preference surveys. Although short term decisions, such as route and mode choice, are typically used for this purpose, a growing number of authors is arguing that long term decisions might provide more meaningful values for the evaluation of transportation projects. This paper uses the German Value of Time Study, that contains both short and long term choice experiments, to investigate the impact of different time horizons on the valuation of time. In particular, the availability in the dataset of two different long term experiments (residential and workplace choice) allow to evaluate not only the impact of the time horizon, but of the type of long term decision. Using a joint model including all relevant choice situations, this paper investigates the difference in the valuation of time coming from different kind of choice experiments. The results show that the chosen time horizon does have a significant effect on the valuation of travel time and cost. Another finding is that the type of long term decision and the structure of the choice experiment itself also influence the valuation.
  • Simulating the influence of Social Contacts Spatial Distribution on Mobility Behavior
    Item type: Conference Paper
    Dubernet, Thibaut Jean Pierre; Axhausen, Kay W. (2015)
  • Joint decisions
    Item type: Book Chapter
    Dubernet, Thibaut Jean Pierre (2016)
    The Multi-Agent Transport Simulation MATSim
  • Using passively collected data to investigate social travel
    Item type: Other Conference Item
    Dubernet, Thibaut Jean Pierre (2018)
    In the last decades, a growing body of evidences of the influence of the need for social contacts on mobility, and in particular leisure mobility, has been accumulated. The idea that explicitly considering those motives in transport models could improve forecasts is making progress. However, the actual implementation of those ideas is still difficult, in particular due to the lack of data on how do individuals plan joint activities. This paper will report on analysis performed in this context, using data from the SensibleDTU data collection effort (Stopczynski et al., 2014), where smartphones with GPS tracking were provided to 1000 bachelor students over one year. This dataset is unique in the sense that it tracks mobility of a densely connected social network of substantial size over a long period of time. Using a anonymized extract of this data, the paper will focus on the properties of travel for meeting friends, focusing on the properties of the travel patterns of the participants. In particular, the hypothesis that party composition have a significant impact on the properties of travel will be tested.
  • Comparing short- and long-term values of travel time savings derived from a joint modelling framework
    Item type: Conference Paper
    Dubernet, Ilka; Dubernet, Thibaut Jean Pierre; Axhausen, Kay W. (2018)
    2018 TRB Annual Meeting Online
  • An innovative survey to study the impact of joint decisions on the characteristics of leisure activities
    Item type: Conference Paper
    Dubernet, Thibaut Jean Pierre; Guidon, Sergio; Axhausen, Kay W. (2017)
    In the last decades, a growing body of evidences of the influence of the need for social contacts on mobility, and in particular leisure mobility, has been accumulated. The idea that explicitly considering those motives in transport models could improve forecasts is making progress. However, the actual implementation of those ideas is still difficult, in particular due to the lack of data on how do individuals plan joint activities. This paper will report on an ongoing data collection exercise, that aims at consolidating our knowledge of those processes. The survey is separated into three phases: starting with an activity diary, focussed on group leisure activities, it moves on to stated choice experiments where various determinants of joint activities are varied, to finish with an innovative interactive planning experiment. The paper and presentation will describe the first data collected in the first phase, and discuss the design of the next steps.
  • The New MATSim Routing Infrastructure
    Item type: Other Conference Item
    Dubernet, Thibaut Jean Pierre (2013)
  • Using a multi-agent transport simulation to study the impact of the preference for joint activities on leisure trip distance distribution
    Item type: Other Conference Item
    Dubernet, Thibaut Jean Pierre; Axhausen, Kay W. (2014)
    hEART 2014: List of Abstracts
  • Using a multi-agent simulation tool to estimate the car-pooling potential
    Item type: Conference Paper
    Dubernet, Thibaut Jean Pierre; Rieser-Schüssler, Nadine; Axhausen, Kay W. (2013)
    TRB 92nd Annual Meeting Compendium of Papers
    It is a general trend in transportation planning to try to minimize the negative externalities of the transport system as a whole, such as noise or pollutant emissions. One of the ways to achieve this is to reduce the number of cars on the roads, for instance by increasing car occupancy. This paper focuses on evaluating the potential of this possibility. The factors influencing this potential are manifold: behavioral, structural (number of potential matches), organizational (quality of available services to meet co-travelers). In previous studies, mainly the behavioral and organizational factors were analyzed. This paper focuses on the structural factor. To do so, the highly detailed daily plans generated by the multi-agent microsimulation software MATSim are searched for potential matches. Information about the potential matches is used to assess the feasibility of carpooling. In particular, it is shown that when considering only structural factors, it is possible to group most of the car trips into two-person car-pools. The results of the analysis lead to the conclusion that there is no structural obstacle to carpooling development, and thus that the causes of the low share of this mode is to search in both the behavioral and organizational factors.
  • Solution concepts for the simulation of household-level joint decision making in multi-agent travel simulation tools
    Item type: Conference Paper
    Dubernet, Thibaut Jean Pierre; Axhausen, Kay W. (2014)
    In the recent years, there have been a growing interest in understanding and forecasting joint travel-related decisions, that is, decisions taken by several individuals together, including binding agreements. Such forecasting would first allow to predict the impact of policies aiming at influencing this kind of behavior (for instance policies aimed at increasing car occupancy), but also improve the forecasts in general, by taking into account the effect of spatial dispersion of social contacts when choosing a joint leisure location, for instance. A large number of attempts at simulating the state of transport systems have had a game theoretic view: individuals are seen as agents getting a utility from their travel decisions, this utility depending on the decisions of others (mainly via congestion). Game theory is aimed at defining and studying solution concepts for such situations, that is, ways to predict probable outcomes of such games. Most of the research in travel behavior forecasting relied on the equilibrium family of solution concepts. In this setting, individuals are seen as selfish agents competing for limited joint (capacity) resources. Another field where game-theoretic concepts have had important impact is in the field of co- evolutionary computation. An important stream of literature in this field in particular insists on the importance of the game-theoretic solution concept explicitly or implicitly underlying the search process, which will favor one solution or the other. Equilibrium is not the only solution concept from game theory, and its applicability in the case of decisions taken amongst emotionally related individuals, such as household members, is dubious. In particular, the possibility of realizing binding agreements is excluded from such formulation. This paper uses a co-evolutionary algorithm, built using the MATSim software framework, to investigate the usage of two different solution concepts for the problem of predicting intra- household joint travel: (a) a “Group Utility” concept, classical in the research on household decision-making, and (b) an “Absence of Blocking Coalition” concept, which allows to represent selfish but coordinating players with arbitrary social network topologies. The implementations of those solution concepts in MATSim are used on a scenario for the Zurich area, to reveal their strengths and weaknesses.
Publications 1 - 10 of 42