An exploratory analysis of Brisbane’s commuter travel patterns using smart card data

Wei, Ming, Liu, Yan and Sigler, Thomas J. (2015). An exploratory analysis of Brisbane’s commuter travel patterns using smart card data. In: Paul Burton and Heather Shearer, State of Australian Cities National Conference 2015: Refereed Proceedings. State of Australian Cities National Conference, Gold Coast, QLD, Australia, (). 9-11 December 2015.

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Name Description MIMEType Size Downloads
Author Wei, Ming
Liu, Yan
Sigler, Thomas J.
Title of paper An exploratory analysis of Brisbane’s commuter travel patterns using smart card data
Conference name State of Australian Cities National Conference
Conference location Gold Coast, QLD, Australia
Conference dates 9-11 December 2015
Proceedings title State of Australian Cities National Conference 2015: Refereed Proceedings
Publisher State of Australian Cities Research Network
Publication Year 2015
Sub-type Fully published paper
Editor Paul Burton
Heather Shearer
Total pages 14
Collection year 2016
Language eng
Abstract/Summary Over the past two decades, Location Based Service (LBS) data have been increasingly applied to urban and transportation studies due to their comprehensiveness and consistency. However, compared to other LBS data including mobile phone data, GPS and social networking platforms, smart card data collected from public transport users have arguably yet to be fully exploited in urban systems analysis. By using five weekdays of passenger travel transaction data taken from go card – Southeast Queensland’s transit smart card – this paper analyses the spatiotemporal distribution of passenger movement with regard to the land use patterns in Brisbane. Work and residential places for public transport commuters were identified after extracting journeys-to-work patterns. Our results show that the locations of the workplaces identified from the go card data and residential suburbs are largely consistent with those that were marked in the land use map. However, the intensity for some residential locations in terms of population or commuter densities do not match well between the map and those derived from the go card data. This indicates that the misalignment between residential areas and workplaces to a certain extent, shedding light on how enhancements to service management and infrastructure expansion might be undertaken.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes http://soacconference.com.au/wp-content/uploads/2016/02/Wei.pdf

 
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Created: Thu, 18 Feb 2016, 15:03:05 EST by Thomas Sigler on behalf of School of Geography, Planning & Env Management