Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

You searched for id:"oai:espace.library.uq.edu.au:UQ:e0f2418". One record found.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


University of Queensland

1. Moon, Chun Yong. Automatic detection and analysis of long-term changes in travel patterns of public transport passengers using Smart-Card data.

Degree: School of Civil Engineering, 2020, University of Queensland

All around the world, a large number of people rely on public transport. These days, most transport users automatically pay with a smart-card when using public transport systems. Due to people's frequent usage of public transport, researchers are invested in better understanding passengers' behaviour patterns. The smart-card system is an ideal source of data for researchers as it is capable of storing large amounts of data on transit users, and when used for a long time, can be the source needed for detailed investigation into passengers' trip patterns, both habitual and sporadic.There are two types of changes in the variation of passengers' movements. First, there exists a short-term pattern, which is expressed as a momentary variation in movement pattern. Second is more long-term and of specific interest to transport officials who are interested in understanding the underlying factors that may disturb the more regular and longer lasting habits. As such, the nature of this study is designed so as to improve detection and the analysis of temporal long-term changes in passengers' movement patterns by relying on the smart-card system in order to obtain detailed information about passengers, such as their time-of-day and day-of-week behaviour patterns.One of the main problems with using big data, however, is that the processing of it is time-inefficient and expensive when performed manually. The study therefore aims to process the smart-card data using an automated approach where the proposed framework relies on machine learning and pattern recognition techniques. This result strives to aid public transit operators to improve the provision of public transport to commuters by taking better account specific changes in passengers' movement behaviour. The research aims to provide public transit operators information that will serve to improve understanding of commuters' behaviours. As a result, public transit operators may better design customer retention strategies that will improve transit services and provide greater efficiency in inter-regional migration.

Subjects/Keywords: Long-term changes; Long-term patterns; Travel patterns; Public transport passengers; Smart-card data; Deep learning; Machine learning; Change point detection; Automatic detection; Big data; 0801 Artificial Intelligence and Image Processing; 0905 Civil Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Moon, C. Y. (2020). Automatic detection and analysis of long-term changes in travel patterns of public transport passengers using Smart-Card data. (Thesis). University of Queensland. Retrieved from https://espace.library.uq.edu.au/view/UQ:e0f2418/thumbnail_s4450668_final_thesis_t.jpg ; https://espace.library.uq.edu.au/view/UQ:e0f2418/s4450668_final_thesis.pdf ; https://espace.library.uq.edu.au/view/UQ:e0f2418

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Moon, Chun Yong. “Automatic detection and analysis of long-term changes in travel patterns of public transport passengers using Smart-Card data.” 2020. Thesis, University of Queensland. Accessed April 09, 2020. https://espace.library.uq.edu.au/view/UQ:e0f2418/thumbnail_s4450668_final_thesis_t.jpg ; https://espace.library.uq.edu.au/view/UQ:e0f2418/s4450668_final_thesis.pdf ; https://espace.library.uq.edu.au/view/UQ:e0f2418.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Moon, Chun Yong. “Automatic detection and analysis of long-term changes in travel patterns of public transport passengers using Smart-Card data.” 2020. Web. 09 Apr 2020.

Vancouver:

Moon CY. Automatic detection and analysis of long-term changes in travel patterns of public transport passengers using Smart-Card data. [Internet] [Thesis]. University of Queensland; 2020. [cited 2020 Apr 09]. Available from: https://espace.library.uq.edu.au/view/UQ:e0f2418/thumbnail_s4450668_final_thesis_t.jpg ; https://espace.library.uq.edu.au/view/UQ:e0f2418/s4450668_final_thesis.pdf ; https://espace.library.uq.edu.au/view/UQ:e0f2418.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Moon CY. Automatic detection and analysis of long-term changes in travel patterns of public transport passengers using Smart-Card data. [Thesis]. University of Queensland; 2020. Available from: https://espace.library.uq.edu.au/view/UQ:e0f2418/thumbnail_s4450668_final_thesis_t.jpg ; https://espace.library.uq.edu.au/view/UQ:e0f2418/s4450668_final_thesis.pdf ; https://espace.library.uq.edu.au/view/UQ:e0f2418

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.