Modelling observed and unobserved factors in cycling to railway stations: application to transit-oriented-developments in the Netherlands

Abstract

Typically, mode choice behaviour is studied as a function of observed travel factors. Given the importance of unobservable factors on choice behaviour, this paper deviates from this approach. We analysed cycling as mode choice to access railway stations, incorporating latent variables and psychometric data to capture relatively intangible factors that influence mode choice. Such factors are not observable, but can manifest themselves through adjustable indicators. The database used for this paper contains 12000 observations of journeys carried out in the Rotterdam – The Hague area in the Netherlands, covering thirty-five railway stations. In addition to using a traditional binary logit model, we estimated three hybrid choice models for access mode choice. These hybrid choice models represented observed and unobserved factors simultaneously, including the train users’ perception of connectivity, attitude towards station environment and perceived quality of bicycle facilities. The results show that both attitudes and observable travelrelated elements are important in the decision to cycle to the station or not. Variations in these perceptions and attitudes significantly affect the bicycle-train share. At the same time, improvements in unguarded bicycle parking facilities may increase the number of people who cycle to the train station more than improvements in guarded bicycle parking would. Moreover, the availability of the parking facilities is crucial during rush hours. Another conclusion is that transport strategies to encourage bicycle-train use must be implemented by station type, i.e. measures to encourage bicycle access at larger stations. Further research would develop a hybrid choice model for egress, and a stated choice experiment would compare these results.