Fang, Jiping;
(2022)
Modelling Passenger Distribution on Metro Platforms Based on Passengers' Boarding Strategies.
Doctoral thesis (Ph.D), UCL (University College London).
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Abstract
Passenger distributions on metro platforms significantly affect the boarding and alighting time, thereby the train dwell time, which is a determinant of the metro line capacity. Modelling passenger distributions on metro platforms is fundamental for designing and managing the train dwell time and metro line capacity. However, most existing models neglected a vital boarding strategy of passengers, namely some passengers move on the platform at the origin stations to minimise the walking distance on the platform at the destination stations, which is called the destination-based boarding strategy. This dissertation confirmed the existence and effectiveness of the destinationbased boarding strategy. A model of both boarder and alighter distributions on metro platforms was developed, considering two typical boarding strategies (namely the destination- and origin- based boarding strategy). The interactions between different boarding strategy users were first presented in a model of passenger distributions on metro platforms. Furthermore, the loadweigh data was used to calibrate and validate the developed model, based on a linear regression model developed in this dissertation that converts the loadweigh data into passenger numbers. The developed model can improve the estimation accuracy of passenger distributions on metro platforms. The estimation results are useful input to improve the accuracy of the existing train dwell time models. The developed model working with the existing models of dwell times is useful for designing reasonable platform entrance & exit locations at the line-level, resulting in short boarding and alighting times to increase the metro capacity. The analysing results suggested that the overall boarding and alighting time could be reduced by 17.3% – 20.5% if we reasonably arranged the locations of the platform entrances and exits at the eight studied stations, compared with the current platform entrance and exit locations.
| Type: | Thesis (Doctoral) |
|---|---|
| Qualification: | Ph.D |
| Title: | Modelling Passenger Distribution on Metro Platforms Based on Passengers' Boarding Strategies |
| Open access status: | An open access version is available from UCL Discovery |
| Language: | English |
| Additional information: | Copyright © The Author 2023. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10162568 |
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