Journal: Arbeitsberichte Verkehrs- und Raumplanung

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IVT ETH Zurich

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Publications 1 - 10 of 22
  • Meyer de Freitas, Lucas; Becker, Henrik; Zimmermann, Maëlle; et al. (2018)
    Arbeitsberichte Verkehrs- und Raumplanung
    We use data from the Swiss national household travel survey to 1. analyse the socioeconomic determinants for intermodal travel in Switzerland and 2. estimate a first large-scale multimodal recursive logit route choice model for urban trip making. We show that intermodal travel is mostly associated with ownership of transit subscriptions, which allow free at the point-of-use public transportation. We also present a framework using open-source data to generate the multimodal network for the recursive logit model estimation. The fact that the model only needs a multimodal network to model the transport supply makes it independent of path sampling algorithms for the choice-set construction and it thus provides an alternative to classic mode and route choice models, since it can estimate mode and route choice parameters with directly observed routes, removing the sampling bias. By eliminating the need to sample alternative paths for estimation, it also simplifies the estimation process, making it a viable choice as an integral solution for joint route and mode choice modelling.
  • 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.
  • MOBIS-COVID19/26
    Item type: Report
    Molloy, Joseph; Tchervenkov, Christopher; Schatzmann, Thomas; et al. (2020)
    Arbeitsberichte Verkehrs- und Raumplanung
    On March 16, 2020, 3700 participants who completed the MOBIS study between September 2019 and January 2020 were invited to reinstall the GPS Logger and Travel Diary App ‘Catch-My-Day’, developed by MotionTag, to record their mobility behaviour during the period of special measures implemented to control the spread of the Corona Virus. The first 4 weeks of mobility data from the original MOBIS Study is taken for each participant as a baseline against which to compare current mobility patterns. These 4 weeks start place anywhere between 1st September and 15th November, depending on the participant. Only trips in Switzerland are currently considered, although data on cross border travel is available.
  • MOBIS-COVID19/94
    Item type: Report
    Molloy, Joseph; Tchervenkov, Christopher; Schatzmann, Thomas; et al. (2022)
    Arbeitsberichte Verkehrs- und Raumplanung
    On March 16, 2020, 3700 participants who completed the MOBIS study between September 2019 and January 2020 were invited to reinstall the GPS Logger and Travel Diary App ‘Catch-My-Day’, developed by MotionTag, to record their mobility behaviour during the period of special measures implemented to control the spread of the Corona Virus. The first 4 weeks of mobility data from the original MOBIS Study is taken for each participant as a baseline against which to compare current mobility patterns. These 4 weeks start place anywhere between 1st September and 15th November, depending on the participant. Only trips in Switzerland are currently considered, although data on cross border travel is available.
  • Hörl, Sebastian; Balać, Miloš; Axhausen, Kay W. (2018)
    Arbeitsberichte Verkehrs- und Raumplanung
    As travellers are faced with an increasing portfolio of transportation options, researchers are similarly faced with increasing complexity of modelling efforts to study people’s choices and behaviour. While discrete-choice models and in particular mode-choice models are widely used to study how people react to specific changes in the system, little published research exist that analyses the possibilities and pitfalls of pairing mode-choice models with the traffic simulation inside of an iterative process. The work presented here describes a structured framework for using discrete choice models along with microsimulation. While the outcomes are based on the MATSim framework, they can be generalised. The obtained results show that the combination of a mode-choice model with MATSim is a promising approach to set up a feedback-enabled transport simulation. Given well-designed constraints on top of the choice model, a good fit with the reference data is achieved. While the modeller loses some of the freedom he or she has within the plan modelling in MATSim, gains in computation time and a reduced effort for calibration are achieved. The authors find that a tour-based model formulation is to be preferred over a trip-based one because by construction more consistent travel decisions are made. While a trip-based model could probably be calibrated to yield a good fit with MATSim, the tour-based model bears the potential of not having to perform a lot of calibration work when setting up the simulation.
  • Bikeability in Basel
    Item type: Working Paper
    Grigore, Elena; Garrick, Norman; Fuhrer, Raphaël; et al. (2018)
    Arbeitsberichte Verkehrs- und Raumplanung
    “Bikeability” is becoming increasingly relevant in the fields or transport- and urban planning. However, it is not always clear how bikeability is defined, let alone how it can be modeled. The goal of this project is to develop a quantitative method to model bikeability. A case study area in the city of Basel, Switzerland has been selected for assessing the model. Here “bikeability” is understood as the ability and convenience to reach important destinations by bike, based on perceived safety, comfort and attractiveness of the streets and intersections along the routes, as well as the travel distances. The underlying assumption is that cyclists try to minimize the distance traveled and maximize the perceived safety, comfort and attractiveness of their route of choice. Unlike previous bikeability assessements that we have reviewed, our method uses existing route choice studies to quantify the cycling quality, which presumably results in a model, which more accurately reflect real life behavior. Many relevant attributes are included in this work that have not been captured by previous models, such as the gradient, tram tracks and the turn direction at intersections. The method is suitable for a multitude of applications in urban planning, such as the identification of locations that need improvement and the comparison of various planning measures. The current analysis is designed to model conventional bikes being used by commuting cyclists. However, the method can be used for E-bikes and non-commuting cyclists, by applying the appropriate input values.
  • Dubernet, Ilka; Dubernet, Thibaut Jean Pierre; Axhausen, Kay W. (2018)
    Arbeitsberichte Verkehrs- und Raumplanung
    The value of travel time (VTT) is an important element cost-benefit analysis of transportation projects, by encapsulating the willingness to pay of the population for improvements in the transport system. Those values are typically obtained from mobility behaviour data, in form of revealed or stated preference survey data. Although short-term decisions 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, as those decisions have a longer-lasting effect on the experienced travel times. This paper uses data, which contains both, short- and long-term experiments, to investigate the impact of different time horizons on the valuation of time. In particular, two different long-term experiments (residential and workplace choice) in the dataset allow to evaluate not only the impact of the time horizon, but also 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. The resulting VTTs with a sharp decline by about a half for commute trips show an opposite effect to previous work. Thus this paper demonstrates the need for refinement of the definition of such a VTT.
  • Maurer, Laurin; Meister, Adrian; Axhausen, Kay W. (2024)
    Arbeitsberichte Verkehrs- und Raumplanung
    This study provides a comprehensive analysis of cycling speed behaviors in Zurich, focusing on the impact of various factors such as bike type, gradients, infrastructure, age, gender, and weather conditions. Utilizing GPS data from 351 cyclists’ smartphones, the study examines detailed speed profiles across the three common European bike types: conventional bicycles, e-bikes, and s-pedelecs. The results show significant differences in cycling speeds w.r.t. age, gender, Body Mass Index, bicycle types, street types, topology and precipitation. The speeds on network edges are modeled using a tree-based model, which reveals that the most influential factors are gradients, BMI, age and bicycle type.
  • Becker, Henrik; Balać, Miloš; Ciari, Francesco; et al. (2018)
    Arbeitsberichte Verkehrs- und Raumplanung
    Mobility as a Service (MaaS) aims to allow less biased mode choice decisions by overcoming market segmentation. To this end, all available modes are offered at their respective marginal cost for each trip. Such a setting favors shared modes, where fixed costs can be apportioned among a large number of users. In turn, car-sharing, bike-sharing or ride- hailing may themselves become an efficient alternative of public transport. Although early field studies confirm the expected changes in behaviour, impacts have not been studied for larger transport systems yet. This research conducts a first joint simulation of car-sharing, bike-sharing and ride-hailing for a city-scale transport system using MATSim. Results show that in Zurich, through less biased mode choice decisions, transport- related energy consumption can be reduced by 25 %. In addition, introduction of shared modes may increase transport system efficiency by up to 7 %. Efficiency gains may reach 11 % if shared modes were used as a substitute for public transport in lower-density areas. Hence, a MaaS scheme with shared mobility allows to increase system efficiency (travel times & cost), while substantially reducing energy consumption.
  • Troncoso Parady, Giancarlos; Loder, Allister; Axhausen, Kay W. (2017)
    Arbeitsberichte Verkehrs- und Raumplanung
    Using data from the Japanese 5 th nationwide person trip survey, a joint model of trip frequencies by mode (car, transit and non-motorized) is estimated using a generalized heterogeneous data model to account for inter-dependencies stemming from unobserved factors. The estimated model successfully captures the effect of common unobserved factors on trip frequencies by mode underscoring the need to account for modal inter-dependencies to avoid bias in parameter estimates. Consistent with findings from the literature, results suggest the existence of substantial mode substitution effects between car and transit and non-motorized modes given changes in accessibility levels. Furthermore, given common unobserved factors, statistically significant and substantial substitution effects were observed among all modes.
Publications 1 - 10 of 22