Temporal distribution of sociodemographic characteristics at transit stops

ABSTRACT

This paper proposes a method to impute the distribution of trip purposes and sociodemographic characteristics of passengers at public transit stops. Firstly, the probability of performing different types of activities around transit stops is calculated considering available land use types, distance to stops, and size of related facilities. Secondly, the temporal distribution of sociodemographic and trip purpose types of passengers in the whole network over time slots is extracted. Thirdly, the extracted temporal distribution is allocated to the location of stops based on available land use types around the stops. A household travel survey dataset from South East Queensland is chosen for the case study. The proposed method could extract valuable information for public transit authorities from spatially poor travel survey datasets and transform those datasets into a new source of information for planning and running novel applications in the public transit network.

KEYWORDS:

• Travel survey
• data fusion
• spatiotemporal analysis
• transit planning
• marketing
• case study

Acknowledgements

We thank the University of Queensland and Technical University of Munich for establishing the research exchange program providing the opportunity for developing this research. We would also like to show our gratitude to Dr. Seyedehsan Seyedabrishami, Dr. Carlos Llorca Garcia, and Dr. Ana Tsui Moreno Chou for sharing their expertise with us during the course of this research.

Disclosure statement

No potential conflict of interest was reported by the author(s).