Dynamic Demand Forecasting and Ticket Assignment for High-Speed Rail Revenue Management in China

2015 ◽  
Vol 2475 (1) ◽  
pp. 37-45 ◽  
Author(s):  
Xiushan Jiang ◽  
Xiqun Chen ◽  
Lei Zhang ◽  
Ruifeng Zhang
Keyword(s):  
Revenue Management ◽  
High Speed ◽  
Demand Forecasting ◽  
Dynamic Demand ◽  
High Speed Rail

scholarly journals Impacts of interpersonal distancing on-board trains during the COVID-19 emergency

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Pierluigi Coppola ◽  
Francesco De Fabiis
Keyword(s):  
Public Transport ◽  
High Speed ◽  
Structural Changes ◽  
Travel Demand ◽  
Demand Forecasting ◽  
Travel Behaviour ◽  
Free Access ◽  
Strong Impact ◽  
High Speed Rail ◽  
Interpersonal Distancing

Abstract Introduction The COVID-19 emergency and the cities lockdown have had a strong impact on transport and mobility. In particular, travel demand has registered an unprecedented overall contraction, dramatically dropping down with peaks of - 90%-95% passengers for public transport (PT). During the re-opening phase, demand is gradually resuming the levels before the crisis, although some structural changes are observed in travel behaviour, and containment measures to reduce the risk of contagion are still being applied, affecting transport supply. Objective This paper aims at assessing to what extent keeping a one-meter interpersonal distancing on-board trains is sustainable for public transport companies. Method The analysis is based on travel demand forecasting models applied to two case-studies in Italy: a suburban railway line and a High-speed Rail (HSR) line, differentiated by demand characteristics (e.g. urban vs. ex-urban) and train access system (free access vs. reservation required). Results In the suburban case, the results show the need of new urban policies, not only limited to the transport domain, in order to manage the demand peaks at the stations and on-board vehicles. In the ex-urban case, the outputs suggest the need for public subsidies in order for the railways undertakings to cope with revenue losses and, at the same time, to maintain service quality levels.

Optimization-Based Train Timetables Generation with Demand Forecasting for Thailand High Speed Rail System

2021 ◽  
Author(s):  
Somkiat Khwanpruk ◽  
Chalida U-tapao ◽  
Kankanit Khwanpruk ◽  
Laemthong Laokhongthavorn ◽  
Arkom Suwannatrai ◽  
...  
Keyword(s):  
High Speed ◽  
Demand Forecasting ◽  
High Speed Rail ◽  
Rail System

A Parking Demand Forecasting Method for Urban Comprehensive Passenger Transport Hub Oriented High-Speed Rail

2012 ◽  
Vol 524-527 ◽  
pp. 828-831
Author(s):  
Rui Guang Shen ◽  
Yu Long Pei
Keyword(s):  
High Speed ◽  
Demand Forecasting ◽  
Influence Factors ◽  
Impact Factors ◽  
Passenger Transport ◽  
High Speed Rail ◽  
Forecasting Method ◽  
Relation Model ◽  
Parking Demand ◽  
Parking Facilities

Although traffic development brings convenience to citizen, problems such as parking, traffic transferring, caused by passenger transport hub have aroused extensive attention from society. Based on teasing parking demand hierarchy and willingness choice, concept of expected utility is introduced to uncover logical relationship among transport hub, influence factors, and parking demand. Data about parking facilities and their characteristics, parker desire, characterization parameters related with hub, are surveyed and collected to analyze and confirm the key influence factors on the basis of urban comprehensive passenger transport hub oriented high-speed rail, for setting up the relation model between parking demand at synthesis passenger hub and its impact factors, which is used to propose the forecasting method of parking demand at the comprehensive passenger transport hub oriented high-speed rail.

scholarly journals An Integrated Model for Demand Forecasting and Train Stop Planning for High-Speed Rail

Symmetry ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 720 ◽  
Author(s):  
Guowei Jin ◽  
Shiwei He ◽  
Jiabin Li ◽  
Yubin Li ◽  
Xiaole Guo ◽  
...  
Keyword(s):  
High Speed ◽  
Travel Demand ◽  
Demand Forecasting ◽  
Planning Problem ◽  
High Speed Rail ◽  
Line Planning ◽  
Modal Choice ◽  
The Sustainable Development ◽  
Mode Share ◽  
The Impact

Studying the interaction between demand forecasting and train stop planning is important, as it ensures the sustainable development of high-speed rail (HSR). Forecasting the demand for high-speed rail (HSR), which refers to modal choice or modal split in this paper, is the first step in high-speed rail (HSR) planning. Given the travel demand and the number of train trips on each route, the train stop planning problem (TSPP) of line planning involves determining the stations at which each train trip stops, i.e., the stop-schedule of each train trip, so that the demand can be satisfied. To integrate and formulate the two problems, i.e., the modal choice problem (MCP) and train stop planning problem (TSPP), a nonlinear model is presented with the objective of maximizing the total demand captured by a high-speed rail system. To solve the model, a heuristic iterative algorithm is developed. To study the relationship between the demand and the service, the Beijing–Shanghai high-speed rail (HSR) corridor in China is selected. The empirical analysis indicates that combining modal choice and train stop planning should be considered for the sustainable design of high-speed rail (HSR) train services. Furthermore, the model simulates the impact of the number of stops on its mode share by reflecting changes in travelers’ behaviors according to HSR train stop planning, and it also provides a theoretical basis for the evaluation of the adaptability of the service network to travel demand.

Research on Prediction of High-Speed Rail Trains Delay Time

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Jing Shi ◽  
Qiyuan Peng ◽  
Ling Liu
Keyword(s):  
Delay Time ◽  
High Speed ◽  
High Speed Rail

THE HIGH-SPEED RAIL HANDBOOK: A TECHNICAL GUIDE1

2018 ◽  
Vol 8 (3) ◽  
pp. 515-530
Author(s):  
Massimo Zucchetti1,2 ◽  
◽  
Keyword(s):  
High Speed ◽  
High Speed Rail

High-Speed Rail Networks, Capacity Investments and Social Welfare

2019 ◽  
Author(s):  
Valentina Bracaglia ◽  
Tiziana D'Alfonso ◽  
Alberto Nastasi ◽  
Dian Sheng ◽  
Yulai Wan ◽  
...  
Keyword(s):  
Social Welfare ◽  
High Speed ◽  
High Speed Rail
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