Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/92547
Title: | Visualisation of trip chaining behaviour and mode choice using household travel survey data | Authors: | Wallner, G Kriglstein, S Chung, E Kashfi, SA |
Issue Date: | Dec-2018 | Source: | Public transport, Dec. 2018, v. 10, no. 3, p. 427-453 | Abstract: | Planning for transport infrastructure requires forecasting of future travel demand. Various factors such as future population, employment, and the travel behaviour of the residents drive travel demand. In order to better understand human travel behaviour, household travel surveys—which require participants to record all their trips made during a single day or over a whole week—are conducted. However, the daily travel routines of people can be very complex, including routes with multiple stops and/or different purposes and often may involve different modes of transport. Visualisations that are currently employed in transport planning are, however, limited for the analysis of complex trip chains and multi-modal travel. In this paper, we introduce a unique visualisation approach which simultaneously represents several important factors involved in analysing trip chaining: number and type of stops, the quantity of traffic between them, and the utilised modes of transport. Moreover, our proposed technique facilitates the inspection of the sequential relation between incoming and outgoing traffic at stops. Using data from the South-East Queensland Travel Survey 2009, we put our developed algorithm into practice and visualise the journey-to-work travel behaviour of the residents of inner Brisbane, Australia. Our visualisation technique can assist transport planners to better understand the characteristics of the trip data and, in turn, inform subsequent statistical analysis and the development of travel demand models. | Keywords: | Household travel survey Human travel behaviour Multi-modal travel Trip chain Trip scheduling Visualisation |
Publisher: | Springer | Journal: | Public transport | ISSN: | 1866-749X | EISSN: | 1613-7159 | DOI: | 10.1007/s12469-018-0183-5 | Rights: | © Springer-Verlag GmbH Germany, part of Springer Nature 2018 This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s12469-018-0183-5. |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
EE-0294_Chung_Visualisation_Trip_Chaining.pdf | Pre-Published version | 5.45 MB | Adobe PDF | View/Open |
Page views
36
Last Week
0
0
Last month
Citations as of May 5, 2024
Downloads
68
Citations as of May 5, 2024
SCOPUSTM
Citations
8
Citations as of Apr 26, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.