Search for dissertations about: "Kay Axhausen"

Found 3 swedish dissertations containing the words Kay Axhausen.

  2. 1. Issues in Urban Travel Demand Modelling : ICT Implications and Trip timing choice

    Author : Maria Börjesson; Staffan Algers; Kay Axhausen; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Journey; Mathematical model; Origin traffic ; Time; Telecommuting; Journey time; Variability; Stated preference; Delay; Civil engineering and architecture; Samhällsbyggnadsteknik och arkitektur; 11 Road: Personal transport; 11 Road: Personal transport;

    Abstract : Travel demand forecasting is essential for many decisions, such as infrastructure investments and policy measures. Traditionally travel demand modelling has considered trip frequency, mode, destination and route choice. This thesis considers two other choice dimensions, hypothesised to have implications for travel demand forecasting. READ MORE

  4. 2. Understanding Changes in Decision-making Processes to Adopt First-/Last-Mile Automated Bus Service

    Author : Pei Nen Esther Chee; Yusak Octavius Susilo; Wong Yiik Diew; Kay Axhausen; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Behaviour Analysis; Decision-making Process; User Experience; Adopt New Technology; Automated Self-driving Bus; First Mile; Last Mile; beteendeanalys; beslutsprocess; användarupplevelse; anta ny teknik; självkörande buss; första mil; sista mil; Transportsystem; Transport Systems;

    Abstract : This research investigates the changes in the interactions of objective factors (factors which are independent of perception e.g. READ MORE

  5. 3. A Dynamic Approach to Multi-Agent-Based Simulation in Urban Transportation Planning

    Author : Banafsheh Hajinasab; Kay Axhausen; Malmö universitet; []
    Keywords : ;

    Abstract : Reviewing previous studies on using computational models for analyzing the effect of transport policies on transportation systems shows that agentbased models have not been used much in spite of their great potential for simulating dynamic aspects of policy instruments and travel behavior. The main reason can be the need for a lot of input data which is hard to prepare for the modeler. READ MORE