Zone prioritisation for transit improvement using potential demand estimated from smartcard data
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Description
It is of utmost importance to understand the networkwide transit service needs for future planning and effective funding allocations. For this purpose, this study proposes a methodology that uses a zone’s transit potential demand as an indicator to prioritise them for public transport-related improvements. This study utilises observed demand (referred to as served demand) from smartcard data to estimate the potential demand. The smartcard data is used to estimate the observed demand of a zone, based upon which high and low trip zones are segregated. An ensemble tree-based Gradient Boosting model is trained and validated using observed trips by employing demographics, socio-economic, and geographic variables. From the analysis, zones with high and low potential demand are identified. Based on the estimated potential demand per unit area, all the zones are clustered into four groups identifying the areas with the lowest, low, medium, and high transit improvement requirements.
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ID Code: | 228431 | ||||
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Item Type: | Contribution to Journal (Journal Article) | ||||
Refereed: | Yes | ||||
ORCID iD: |
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Measurements or Duration: | 24 pages | ||||
Keywords: | smartcard, random parameter, negative binomial regression, principle component analysis, potential demand, demand, transit | ||||
DOI: | 10.1080/23249935.2022.2028930 | ||||
ISSN: | 2324-9935 | ||||
Pure ID: | 105988389 | ||||
Divisions: | Current > Research Centres > Centre for Future Mobility/CARRSQ Current > QUT Faculties and Divisions > Faculty of Engineering Current > Schools > School of Civil & Environmental Engineering Current > QUT Faculties and Divisions > Faculty of Health |
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Copyright Owner: | 2022 Hong Kong Society for Transportation Studies Limited | ||||
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||
Deposited On: | 21 Feb 2022 04:34 | ||||
Last Modified: | 01 Mar 2024 02:08 |
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