• TRB 100th Annual Meeting

      January 24–28, 2021

    • Online Program


Annual Meeting Event Detail

Poster Session 1330

1330 - What Matters in Transit? Factors Affecting Transit Capacity and Quality of Service

Wednesday, January 27 4:00 PM- 5:30 PM ET
Victoria Perk, University of South Florida
Sponsored by:
Standing Committee on Transit Capacity and Quality of Service (AP015)

This session includes a compilation of twelve papers that relate to transit capacity and quality of service. The individual papers dive into topics such as service modifications due to the COVID-19 pandemic and other incidents, data privacy, bus speeds, transit signal priority, demographics and travel behavior, and other performance measures.

No agenda available

Title Presentation Number
Optimal frequency setting of metro services in the age of COVID-19 distancing measures
Konstantinos Gkiotsalitis (k.gkiotsalitis@utwente.nl), University of Twente
Oded Cats, Delft University of Technology
Show Abstract
Exploring Factors Affecting Commuters’ Perceptions on Intercity Rail Service Quality using Ordinal Logistic Regression
Md Ahmed, Dhaka University of Engineering and Technology
Md. Hadiuzzaman, Bangladesh University of Engineering and Technology
Md. Rakibul Islam, University of Central Florida
Nafis Anwari, Ahsanullah University of Science and Technology
Md. Abdul Awal Islam, Bangladesh University of Engineering and Technology
Show Abstract
Redirecting Passengers and Reallocating Capacities during Incidents in Public Transport
Frederik Bachmann, Technical University of Munich
Andreas Rau, TUMCREATE
Fritz Busch, Technische Universitat Munchen
Show Abstract
Does the Squeaky Wheel Get the Complaint?  Linking Bus performance, Sociodemographic Characteristics, and Customer Comments
Leila Hawa, McGill University
James DeWeese, McGill University
Ehab Diab, University of Saskatchewan
Crumley Miles, TriMet
Ahmed El-Geneidy (ahmed.elgeneidy@mcgill.ca), McGill University
Show Abstract
Attitudes to Data Privacy Amongst Rail Passengers and Implications for Service Provision
James Pritchard (j.a.pritchard@soton.ac.uk), University of Southampton
Simon Blainey, University of Southampton
Ben Waterson, University of Southampton
Show Abstract
Utilizing Deep Learning Techniques for the Development of a Bus Speed Approximation Model
Aristomenis Kopsacheilis, Aristotle University of Thessaloniki
Ioannis Politis, Aristotle University of Thessaloniki
Georgios Georgiadis, Aristotle University of Thessaloniki
Show Abstract
Modifying the service patterns of public transport vehicles to account for the COVID-19 capacity
Konstantinos Gkiotsalitis, University of Twente
Show Abstract
Travel behavior analysis of public transport for low-mobility individuals in China
Tao Zhang (taoerbuqi007@163.com), Taiyuan University of Science and Technology
Qinglin Jia, Taiyuan University of Science and Technology
Minjie Jin, Taiyuan University of Science and Technology
Fan Sun, Taiyuan University of Science and Technology
Yang Yang, Taiyuan University of Science and Technology
Show Abstract
The Effect of Quality of Service on the Cost Performance of Metros: A Dynamic Panel Application
Farah Awad (f.awad18@imperial.ac.uk), Imperial College London
Daniel Graham, Imperial College London
Laila AitBihiOuali, Imperial College London
Show Abstract
Mobility Benefits of Transit Signal Priority (TSP) in Adaptive Signal Control Technology (ASCT) Environment
MD Sultan Ali, Florida International University
John Kodi, Florida International University
Priyanka Alluri, Florida International University
Thobias Sando, University of North Florida
Show Abstract
Nicholas Caros (caros@mit.edu), Massachusetts Institute of Technology (MIT)
Xiaotong Guo, Massachusetts Institute of Technology (MIT)
Anson Stewart, Massachusetts Institute of Technology (MIT)
John Attanucci, Massachusetts Institute of Technology (MIT)
Show Abstract

DISCLAIMER: All information shared in the TRB Annual Meeting Online Program is subject to change without notice. Changes, if necessary, will be updated in the Online Program and this page is the final authority on schedule information.