Modelling Riders' Behavioural Responses to Real-Time Information at LRT Stations in Calgary, Alberta
Date
2014-01-28
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Abstract
An Advanced Passenger Information System (APIS) can play a significant role in both improving the satisfaction of transit riders in the short term and increasing ridership in the long term. This research focuses on investigating riders’ behavioural responses to en-route Light Rail Transit (LRT) real-time information.
A survey was designed and conducted to collect LRT riders’ psychological perception and behavioural responses in Calgary, Alberta. Four scenarios were examined by presenting hypothetical scenarios: an estimated next LRT arrival time of 10 minutes, an LRT service interruption with no information on expected recovery time, presentation of conflicting information while LRT service was interrupted, and oncoming crowded LRT trains. A total of 505 responses were collected. Multinomial logit models were developed and calibrated to explore the factors affecting trip decision-making for the described scenarios for commuter and non-commuter trips.
The results led to the conclusion that various socio-economic attributes (i.e., age, gender, number of automobiles per household), experience with APIS system (familiarity with accessing APIS and the perceived accuracy of the information it provides), experience with public transit in general and the Calgary’s LRT system in particular (i.e., use of transit as the primary mode of transportation, frequency of LRT use, and familiarity with LRT) and the characteristics of the original LRT stations had strong influences on travellers’ behavioural responses in the context of real-time LRT information. It was also determined that travellers’ actions vary by trip purpose, trip time, and weather conditions.
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Engineering--Civil
Citation
Bai, Y. (2014). Modelling Riders' Behavioural Responses to Real-Time Information at LRT Stations in Calgary, Alberta (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/26961