Modelling cell-based quality of service and capacity in bus rapid transit station platforms
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Sewmini Jayatilake Thesis
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Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. |
Description
This research identifies highly congested areas in Bus Rapid Transit (BRT) platforms and apply measures to improve Quality of Service and capacity. It developed a novel model that partitioned BRT platforms into cells and examined passenger activities to evaluate variation in area available per passenger across the platform. It was identified that areas available for stationary and circulating passengers in a platform cell differed significantly. BRT platform operation during the COVID-19 pandemic was evaluated. Significant variations exist in waiting passenger distributions between the Before COVID-19 and During COVID-19 cases.
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ID Code: | 214246 | ||
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Item Type: | QUT Thesis (PhD) | ||
Supervisor: | Bunker, Jonathan, Bhaskar, Ashish, & Miska, Marc | ||
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Keywords: | Bus Rapid Transit, Busway, Station, Platform Operation, Waiting Passengers, Passenger Activities, Capacity, Quality of Service, Level of Service, COVID-19 | ||
DOI: | 10.5204/thesis.eprints.214246 | ||
Divisions: | Current > QUT Faculties and Divisions > Faculty of Engineering Current > Schools > School of Civil & Environmental Engineering |
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Institution: | Queensland University of Technology | ||
Deposited On: | 26 Nov 2021 02:55 | ||
Last Modified: | 05 Dec 2021 23:16 |
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