Modelling Travel Behaviour in Multi-modal Networks

Abstract

Multi-modal transport is seen as a promising approach to solve modern mobility problems, including recurrent congestion, deteriorating accessibility of city centers, and negative impacts on the environment. This monograph presents a thesis that models travel behavior in multi-modal networks in cities in The Netherlands. The author establishes a theoretical framework of multi-modal travel behavior, identifying specific features of multi-modal trips and defining terminology. The research included setting up and conducting a large data collection among train travelers, developing and applying an algorithm suitable to generate an objective choice set for multi-modal transport networks, analyzing reported chosen and non-chosen alternatives and the availability of multi-modal trip alternatives, and estimating advanced choice models for train trips. The author concludes that most travelers do not even mention other alternatives than the one they used. Expected differences in sizes of reported subjective choice sets between types of trips could no be found. In urbanized corridors, train users have a large number of multi-modal trip alternatives available. Shares of private mode transport are high at home-ends as well as activity-ends of trips, and walking is the dominant private mode.

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