Modelling passenger distribution on metro platforms based on passengers’ choices for boarding cars-Reference-Cited by-同舟云学术

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Modelling passenger distribution on metro platforms based on passengers’ choices for boarding cars

Published:2019-04-25 Issue:5 Volume:42 Page:442-458
ISSN:0308-1060
Container-title:Transportation Planning and Technology
language:en
Short-container-title:Transportation Planning and Technology

Author:

Fang Jiping¹,Fujiyama Taku¹,Wong Howard²³

Affiliation:

1. Department of Civil, Environmental & Geomatic Engineering, Centre for Transport Studies, University College London, London, UK

2. Centre for Advanced Spatial Analysis, University College London, London, UK

3. Public Transport Service Planning, Transport for London, London, UK

Funder

China Scholarship Council

Publisher

Informa UK Limited

Subject

Transportation,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/03081060.2019.1609218

Reference10 articles.

1. Bus service time estimation model for a curbside bus stop

2. Why do passengers choose a specific car of a metro train during the morning peak hours?

3. MODELLING PASSENGER DISTRIBUTION ON METRO STATION PLATFORM

4. A study of crowding effects at the Hong Kong light rail transit stations

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1. Comprehensive examination of regional railway passenger behavior and dwell time components: Insights from video-based observations in Victoria, Australia;Journal of Rail Transport Planning & Management;2024-09

2. Understanding dwell times using automatic passenger count data: A quantile regression approach;Journal of Rail Transport Planning & Management;2024-03

3. Modelling the pedestrian’s willingness to walk on the subway platform: A novel approach to analyze in-vehicle crowd congestion;Transportation Research Part E: Logistics and Transportation Review;2024-01

4. Passengers’ waiting position selection model of subway platform based on user equilibrium;Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023);2023-11-08

5. Exploring Melbourne Metro Train Passengers’ Pre-Boarding Behaviors and Perceptions;Sustainability;2023-07-26

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