Kay W. Axhausen


Last Name

Axhausen

First Name

Kay W.

ORCID

0000-0003-3331-1318

Organisational unit

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Publications 1 - 10 of 2301
  • Route choice modelling for cyclists on urban networks
    Item type: Journal Article
    Meister, Adrian; Felder, Matteo; Schmid, Basil; et al. (2023)
    Transportation Research Part A: Policy and Practice
    This paper presents the results of route choice models for cyclists in the city of Zurich. The data includes approx. 4400 cycling trajectories, including approx. 850 from e-bikes. The network is sourced from Open Street Map (OSM) and the choice set generation is based on the breadth-first search on link elimination (BFSLE) algorithm. We present descriptive statistics and model results which specifically point out the difference between regular and e-bikes. We provide results of a simple path size Logit (PSL) and a more complex mixed PSL, both estimated in Value-of-Distance (VoD) space, and both suited to directly derive VoD indicators. The results show anticipated effects for cycling infrastructure, speed limits, traffic signals, gradients and traffic volumes. Numerous interaction effects shed light on the taste heterogeneity.
  • Märkte und Erreichbarkeiten
    Item type: Presentation
    Axhausen, Kay W. (2005)
  • Forecasting a future with automated vehicles in Switzerland
    Item type: Working Paper
    Livingston, Clarissa; Hörl, Sebastian; Bruns, Frank; et al. (2020)
    Arbeitsberichte Verkehrs- und Raumplanung
    Newly developed improvements in agent-based transport modeling and AV research are combined in this study to explore the effects of AVs on the Swiss transport system. In doing so, this massive modeling effort gives new insights into both the strengths and weakness of the agent-based transport model MATSim, newly developed scenario building software that allows the integration of population forecasts, and how AVs affect urban and rural regions differently. In addition, the MATSim results are used to perform a congestion analysis to evaluate how AVs will affect key congestion hot spots.
  • How do the Swiss spend their time?
    Item type: Journal Article
    Winkler, Caroline; Axhausen, Kay W. (2024)
    Findings
    Time use statistics are widely documented in order to track societal trends. The most reliable and widely used collection method for time use data are diaries in which a person documents all activities participated in for a given period. This study uncovers daily time use patterns across the entire adult population of German-speaking Switzerland with such data. The findings are the first diary-based account of time use for the region and illuminate important differences between genders and based on parenthood status in terms of paid and unpaid work, as well as working from home.
  • MOBIS-COVID19/67
    Item type: Report
    Molloy, Joseph; Tchervenkov, Christopher; Schatzmann, Thomas; et al. (2021)
    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.
  • Verkehrsplanung
    Item type: Presentation
    Axhausen, Kay W. (2019)
  • The Environmental Aspects of the DRIVE Programme
    Item type: Working Paper
    Axhausen, Kay W. (1991)
    The purpose of this note is to discuss the environmental potential of the DRIVE programme. DRIVE is a major research and development initiative of the European Community focused on the introduction of information technology into the transport system, mainly the road transport system. The vision of DRIVE is an integrated system of information and communication technologies, which on the one hand will inform and guide the traveller and on the other hand will control traffic flows. The first phase of the programme started in 1989. The second phase will start in 1992 lasting for five years implementing and testing available new technologies. The stated goals of DRIVE are:

    -improving road safety
    -maximising of ... road transport efficiency
    -contributing to environmental improvements'

    The focus of the work undertaken is clearly on the second goal, the maximisation of road transport efficiency, principally understood as reductions in travel time. It is clear that improved efficiency of the road system will potentially contribute to the third goal by reducing the contribution of each mile travelled to environmental concerns such as vehicle emissions, energy consumption, vehicle noise and vibrations. It is also clear that any gains from these improvements are dependent on otherwise unchanged conditions. In addition, there are other environmental concerns, such as community severance or land use questions, which are not directly addressed by the existence of such technologies alone. The technologies have to be used appropriately to be beneficial in these areas. The main technologies of interest to DRIVE are:

    -vehicle-based technologies to improve traffic flow
    -technologies to improve traffic control
    -within-trip information systems
    -route guidance systems
    -pre-trip-information systems
    -direct-debiting technologies
    -associated communication, measurement and data-capture technologies

    Besides the environmental contributions mentioned above, many of these technologies have the potential to be harnessed for other and wider environmental concerns, such as community severance, land use patterns, etc. Examples are the exclusion of sensitive parts of the road network from general use in route guidance systems or the collection of richer environmental data through the communication networks established for the other technologies. The note suggests four areas of research, which are opened up by the developments in DRIVE, as of interest to the goals of the 2020 Initiative:

    -Verification of the benefits of the introduction of information technologies in all environmental aspects
    -Use of the new information networks to collect more information about environmental conditions
    -Incorporation of such information into the operation of the proposed guidance and control systems
    -Feasibility of environmental pricing through the new direct-debiting systems
  • Impacts of a new free-floating carsharing system traced with a Smartphone App
    Item type: Other Conference Item
    Becker, Henrik; Ciari, Francesco; Brignoni, Massimo; et al. (2015)
  • MATSim platform and applications in Europe and elsewhere
    Item type: Presentation
    Axhausen, Kay W. (2014)
  • Some history of MATSim
    Item type: Book Chapter
    Nagel, Kai; Axhausen, Kay W. (2016)
    The Multi-Agent Transport Simulation MATSim
Publications 1 - 10 of 2301