scholarly journals A Research on Passenger’s Travel Choice Behavior in High-speed Railway Based on Passenger Survey Questionnaire

2018 ◽  
Author(s):  
Ying-hui QIU ◽  
Zhen-huan HE
Keyword(s):  
High Speed ◽  
Choice Behavior ◽  
Survey Questionnaire ◽  
High Speed Railway ◽  
Travel Choice

Highway Passenger Transport Development Strategy with the Competition of High-Speed Railway

2011 ◽  
Vol 94-96 ◽  
pp. 527-530
Author(s):  
Si Tao Hu ◽  
Xue Mei Wang
Keyword(s):  
Development Strategy ◽  
High Speed ◽  
Choice Behavior ◽  
Rapid Development ◽  
Technical Support ◽  
Passenger Transport ◽  
High Speed Railway ◽  
Travel Choice ◽  
Support Resource ◽  
The Impact

With the rapid development of high-speed passenger railway and inter-city railway, highway passenger transport is facing an unprecedented competition and pressure. The impact of high-speed railway on highway passenger transport has been analysis and the transport characteristics of high-speed railway are compared with the highways’. On the basis of the travel choice behavior of passengers analysis, the systematized countermeasures of highway passenger transport are put forward including precise orientation, strengthen marketing enhancement, technical support, resource integration, brand service and government help.

scholarly journals Ticket Fare Optimization for China’s High-Speed Railway Based on Passenger Choice Behavior

2017 ◽  
Vol 2017 ◽  
pp. 1-6
Author(s):  
Jinzi Zheng ◽  
Jun Liu ◽  
David B. Clarke
Keyword(s):  
Optimization Model ◽  
High Speed ◽  
Choice Behavior ◽  
Pricing Strategy ◽  
Convex Program ◽  
Load Factor ◽  
High Speed Railway ◽  
Ticket Price ◽  
Over Time ◽  
Passenger Choice

Although China’s high-speed railway (HSR) is maturing after more than ten years of construction and development, the load factor and revenue of HSR could still be improved by optimizing the ticket fare structure. Different from the present unitary and changeless fare structure, this paper explores the application of multigrade fares to China’s HSR. On the premise that only one fare grade can be offered for each origin-destination (O-D) at the same time, this paper addresses the questions of how to adjust ticket price over time to maximize the revenue. First, on the basis of piecewise pricing strategy, a ticket fare optimization model is built, which could be transformed to convex program to be solved. Then, based on the analysis of passenger arrival regularity using historical ticket data of Beijing-Shanghai HSR line, several experiments are performed using the method proposed in the paper to explore the properties of the optimal multigrade fare scheme.

Research on Passenger's Choice Behavior Based on Beijing-Guangzhou High-Speed Railway Ticket Data

2014 ◽  
Vol 505-506 ◽  
pp. 601-606
Author(s):  
Yu Ting Zou ◽  
Lei Nie
Keyword(s):  
High Speed ◽  
Choice Behavior ◽  
Travel Speed ◽  
High Speed Railway ◽  
Ticket Price ◽  
Transport Organization ◽  
Trip Distance ◽  
Passenger Flows ◽  
The Difference ◽  
High Level

This paper has analyzed passenger flows' characteristics of Beijing-Guangzhou high-speed railway based on the ticket data of 2013 January, including passengers' distribution on the ranges of trip distance and passengers' composition in each range. Furthermore, it concentrated on analyzing preferences on passenger's choice behavior among the passengers of different OD pairs and the difference between weekday and weekend on passenger's behavior. The result shows short journey passenger had lower sensitivities on ticket price and travel speed, the selection of passengers from low-level node to high-level node on departure time had obvious clustering effect. With the increase of trip distance, the sensitivities of passengers on ticket price, travel speed and originating train would increase correspondingly. The paper's conclusion has referential meaning for researches on the optimization of high-speed railway transport organization.

scholarly journals Modeling Passengers’ Boarding Behavior at the Platform of High Speed Railway Station

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Tie-Qiao Tang ◽  
Yi-Xiao Shao ◽  
Liang Chen ◽  
Hua-Yan Shang
Keyword(s):  
Cellular Automaton ◽  
Travel Time ◽  
High Speed ◽  
Choice Behavior ◽  
Flow Theory ◽  
Inflow Rate ◽  
Pedestrian Flow ◽  
High Speed Railway ◽  
Numerical Tests ◽  
Ca Model

Modeling passengers’ motion at high speed railway (HSR) station has been a hot topic in the field of pedestrian flow theory. However, little effort has been made to explore the passengers’ boarding behaviors at the platform of HSR station. This study proposes a cellular automaton (CA) model to study the passengers’ boarding behavior at the platform of HSR station. Some numerical tests are conducted to explore the passengers’ movements and the complex traffic phenomena (e.g., each passenger’s trajectory, congestion, and travel time) which occur during the boarding process. The numerical results illustrate that the passengers’ inflow rate and entrance choice behavior have significant impacts on the boarding efficiency. These results can help managers to understand the passengers’ boarding behavior and to improve the boarding efficiency.

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