Modelling mode choice behaviour for extra-urban journeys

Abstract

This paper focuses on extra-urban journeys with main emphasis on regional ones, even though most results can be easily applied to inter-city journeys. These journeys are generally home-based and mode choice behavior is greatly affected by user socio-economic characteristics. While the effect of level of services (LOS) attributes can be significantly non-linear and a relevant fraction of users may be captive to a specific mode. Moreover, the zoning as well as the access and egress to the transit system can often be modeled only at an aggregate level because of data availability. Finally, the structure of dispersion matrix among the mode perceived utilities may likely be quite complex also due to combined modes, such as car-pool, dial-a-ride, etc. The paper follows a random utility approach and focuses on the effects of hypotheses and data on the effectiveness of the resulting model as well as its efficiency. Main emphasis will be on simple models that can be calibrated and applied with limited computing resources and data.

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