Influence of the weather on mode choice in corridors with time-varying congestion: a mixed data study
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Abstract
Studies that link human behaviour to the influence of weather have historically been conducted in such fields as tourism, marketing and leisure. In most studies that jointly examine weather and the mode of transport, only open-air transportation has been considered (for example, bicycle, motorcycle or walking). This focus, together with the habitual use of data collected with automatic devices and a lack of studies that analyse this issue using stated preference data, are the main reasons motivating this paper. This paper aims to analyse the influence of weather and the density of traffic on the choice of transport mode. A case study is conducted in an access/egress corridor located in the city of Barcelona (Spain). Two data sources were used: revealed preference and stated preference data. Modelling techniques using mixed data enabled the stronger features from both data sources to be captured. Finally, we discuss how the selection of different alternative specific constants in models estimated using mixed data could generate unrealistic forecasting results if environmental changes are expected in the actual market.
Keywords
Weather Congestion RP/SP data Mode choice survey Discrete choice models Forecasting market sharesNotes
Acknowledgments
This research is affiliated with the Group of Railways and Transportation Engineering (University of A Coruña). It was supported by the Ministry of Development through the research programme SIMETRIA: Simulation models for the evaluation global and regional transports to multimodal scenarios; and by the Ministry of Economy and Competitiveness, in conjunction with European Regional Development Funds (ERDF), through the research scheme NASCI: Technological, economical and attract new users perspective comparison about new advances on metropolitan transport systems with intermediate capacity. Finally, the authors wish to thank the anonymous referees for their comments, which significantly improved this paper.
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