Tao Yan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Tao Yan has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Lili Lu
Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China
1 shared publication - Toshiyuki Yamamoto
Institute of Materials and Systems for Sustainability, Nagoya University, Nagoya, JAPAN
1 shared publication - Xiaofei Ye
Ningbo University
1 shared publication - Xuan Li
Ningbo Univ
1 shared publication
Latest Publications
- Open Access
- 20 May 2020
- Published by MDPI AG in Sustainability
- Vol. 12 (10) , 4166
First Train Timetabling for Urban Rail Transit Networks with Maximum Passenger Transfer Satisfaction
This paper proposes a novel model to optimize the first train timetables for urban rail transit networks, with the goal of maximizing passengers’ transfer waiting time satisfaction. To build up the relationship of transfer waiting time and passenger satisfaction, a reference-based piecewise function is formulated with the consideration of passengers’ expectations, tolerances and dissatisfaction on “just miss”. In order to determine the parameters of zero waiting satisfaction rating, the most comfortable waiting time, and the maximum tolerable waiting time in time satisfaction function, a stated preference survey is conducted in rail transit transfer stations in Shanghai. An artificial bee colony algorithm is developed to solve the timetabling model. Through a real-world case study on Shanghai’s urban rail transit network and comparison with the results of minimizing the total transfer time, we demonstrate that our approach performs better in decreasing extremely long wait and “just miss” events and increasing the number of passengers with a relatively comfortable waiting time in [31s, 5min). Finally, four practical suggestions are proposed for urban rail transit network operations.
- 20 May 2020
- Published by MDPI AG in Sustainability
- Vol. 12 (10) , 4166
Open AccessFirst Train Timetabling for Urban Rail Transit Networks with Maximum Passenger Transfer Satisfaction
This paper proposes a novel model to optimize the first train timetables for urban rail transit networks, with the goal of maximizing passengers’ transfer waiting time satisfaction. To build up the relationship of transfer waiting time and passenger satisfaction, a reference-based piecewise function is formulated with the consideration of passengers’ expectations, tolerances and dissatisfaction on “just miss”. In order to determine the parameters of zero waiting satisfaction rating, the most comfortable waiting time, and the maximum tolerable waiting time in time satisfaction function, a stated preference survey is conducted in rail transit transfer stations in Shanghai. An artificial bee colony algorithm is developed to solve the timetabling model. Through a real-world case study on Shanghai’s urban rail transit network and comparison with the results of minimizing the total transfer time, we demonstrate that our approach performs better in decreasing extremely long wait and “just miss” events and increasing the number of passengers with a relatively comfortable waiting time in [31s, 5min). Finally, four practical suggestions are proposed for urban rail transit network operations.