The influence of weather on local geographical patterns of bus usage

Tao, Sui, Corcoran, Jonathan, Hickman, Mark and Stimson, Robert (2016) The influence of weather on local geographical patterns of bus usage. Journal of Transport Geography, 54 66-80. doi:10.1016/j.jtrangeo.2016.05.009

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Author Tao, Sui
Corcoran, Jonathan
Hickman, Mark
Stimson, Robert
Title The influence of weather on local geographical patterns of bus usage
Journal name Journal of Transport Geography   Check publisher's open access policy
ISSN 0966-6923
Publication date 2016-06-01
Sub-type Article (original research)
DOI 10.1016/j.jtrangeo.2016.05.009
Open Access Status Not yet assessed
Volume 54
Start page 66
End page 80
Total pages 15
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon Press
Language eng
Subject 3305 Geography, Planning and Development
3313 Transportation
2300 Environmental Science
Abstract This paper broadens the research on weather and public transport usage by considering the micro dynamics of the effect that various weather conditions impose on micro geographic patterns of bus ridership in Brisbane, Australia. A smart card data set and detailed measurements of weather, allied with a suite of statistical and visual analytic techniques, are employed to capture the effect of weather on the local variations of bus ridership. While changes in weather conditions do not significantly affect bus ridership at the system level, some marked influence was found for rainfall, wind speed and relative humidity at a sub-system level. In addition, discernible variations of both the magnitude and direction of weather's effect were found at the sub-system level. Developing a more geographically detailed understanding of the effect of weather on public transport services serves as a critical first step towards establishing a more weather-resilient public transport system. This new understanding has the potential to contribute to an evidence base that can be used to proactively adjust public transport services in response to changes in weather conditions across different parts of the network. Further research is needed to assess how transferable our findings are to other public transport and climatic contexts.
Keyword Geographic patterns
Public transport
Smart card data
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
School of Civil Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 6 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 3 times in Scopus Article | Citations
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