Unpacking the weather-transit ridership relationship using big data in Brisbane and beyond

Ming Wei, Yan Liu, Thomas Sigler and Jonathan Corcoran

Chapter 16 in Big Data Applications in Geography and Planning, 2021, pp 245-255 from Edward Elgar Publishing

Abstract: The emergence of passenger tracking technologies and big data have heralded a new generation of transport studies. In this chapter, we align to this new generation by overviewing the research that has applied transit smart card data, followed by an empirical case developed to provide a better understanding how weather affects people’s travel patterns in cities. Set against a backdrop of climate change and rapid urbanisation, understanding the travel behaviours of individuals across entire urban transit networks in response to shifts in weather conditions are critical in order to inform the smart design of resilient transit infrastructure. (Re)designing such infrastructure in a way that embeds weather resiliency (to account for both current and future predicted weather patterns) is important to ensure public transit poses an attractive alternative to the private vehicles for urban residents to fulfil their daily mobility needs. We draw on the results of a modelling exercise in conjunction with research in this domain to reveal that adult ridership is affected most by precipitation, and that this effect persists across multiple modes as well as for off-peak and weekends. However, more mixed effects for the combinations of weather phenomena show that wet and windy, hot and rainy, and hot and windy conditions are also important predictors of transit ridership.

Keywords: Economics and Finance; Geography; Innovations and Technology; Research Methods; Urban and Regional Studies (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.elgaronline.com/view/edcoll/9781789909784/9781789909784.00021.xml (application/pdf)
Our link check indicates that this URL is bad, the error code is: 503 Service Temporarily Unavailable

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:19400_16

Ordering information: This item can be ordered from
http://www.e-elgar.com

Access Statistics for this chapter

More chapters in Chapters from Edward Elgar Publishing
Bibliographic data for series maintained by Darrel McCalla ().