Forecasting passenger travel demand for air and high-speed rail integration service: A case study of Beijing-Guangzhou corridor, China

2016 ◽  
Vol 94 ◽  
pp. 397-410 ◽  
Author(s):  
Zhi-Chun Li ◽  
Dian Sheng
2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Yu Ke ◽  
Lei Nie ◽  
Christian Liebchen ◽  
Wuyang Yuan ◽  
Xin Wu

Air and high-speed rail (AH) integration services are gaining ground with the development of the high-speed railway and airline industries. A well-designed feeder train timetable with good synchronization is of great significance in an AH integration service, because it can improve the connectivity at transfer nodes and offer more opportunities for intermodal passengers to travel. In this study, we propose a multi-objective model of a feeder railway timetable problem in an AH integration service to improve synchronization. The aims of the optimization model are to maximize the number of synchronizations and the coverage of synchronized flights, as well as to minimize the transfer penalties of passengers. We focus on a scenario of a partial subnetwork in which one direction of a two-direction railroad line with one transfer station is considered. The model is applied to Shijiazhuang Zhengding International Airport, China. The results illustrate the effectiveness of the approach developed in the paper.


2021 ◽  
Vol 11 (23) ◽  
pp. 11132
Author(s):  
Xiaomin Wang ◽  
Jingyu Liu ◽  
Wenxin Zhang

The rapid development of high-speed rail (HSR) and station areas has shortened the spatial and temporal distances among cities, improved the accessibility of cities, and affected the spatial agglomeration and diffusion of populations and of social and economic activities. This has led to spatial reconfiguration of production factors within cities, which has the potential to drive the reconstruction of urban spatial structures. Based on POI and land-use data, this paper defines the spatial scope of the HSR station area and explores the characteristics and influencing factors of its spatial structure from the perspective of industry. The study area i is set at 2000 m. Since the opening of the HSR, the industrial distribution has exhibited a significant circular, multi-core, and axial belt spatial structure. The spatial structure of each sub-industry is different. On the whole, internal and external transport and agglomeration economies have significant impacts on the industrial spatial distribution, and land rent has gradually decreased in importance with the development of HSR station areas. The intensity of the effects of different factors varies among different industries. The mechanisms by which the spatial structure of the station area is formed are discussed and include location accessibility, micro-market factors, node station attributes, the availability of a sufficient amount of undeveloped land, the characteristics and needs of HSR passengers, and policies and systems.


2019 ◽  
Vol 11 (24) ◽  
pp. 6996
Author(s):  
Shuo Zhao ◽  
Xiwei Mi ◽  
Zhenyi Li

Train stop planning provides appropriate service for travel demand and stations and plays a significant role in railway operation. This paper formulates stop planning from the point of view of direct travel between origin-destination (O-D) stations and proposes an analytical method to theoretically derive optimal service frequencies for O-D demand on different levels. Considering different O-D demand characteristics and train service types, we introduce the concept of stop probability to present the mathematical formulation for stop planning with the objective of minimizing per capita travel time, which is solved by an iterative algorithm combined with local search. The resulting optimal stop probabilities can be used to calculate the required service frequency for each train type serving different demand categories. Numerical examples, based on three real-life high-speed railway lines, demonstrate the validity of the proposed method. The proposed approach provides a more flexible and practical way for stop planning that explicitly takes into account the importance of different stations and passenger travel characteristics.


Author(s):  
V. Dimitra Pyrialakou ◽  
Konstantina (Nadia) Gkritza

The development of a nationwide commuter and high-speed rail (HSR) network has been suggested as a promising and “greener” passenger transport solution with the potential to reduce energy consumption and greenhouse gas emissions, given efficient planning that will ensure sufficient ridership and sustainable investment. It is anticipated that passenger rail growth will bring regional economic benefits as well as promote energy independence, transportation safety, and livable communities with improved accessibility and inter-connectivity. Much research has been conducted to identify the benefits and costs associated with the operation, maintenance, and improvement of passenger rail services. However, previous studies supporting investment in passenger rail have generally considered one evaluation factor at a time. Additionally, studies suggesting that investment in passenger rail is not cost-effective give more weight to quantifiable benefits and current conditions, and rarely consider changes in public preferences influenced by policies and fostered conditions to encourage mode shifts. Thus, the literature lacks a comprehensive approach that would evaluate investments in passenger rail, accounting for quantifiable and other benefits, in light of environmental, resilience and sustainability, economic, demand, and feasibility factors. Using a case study of the Hoosier State line, this study illustrates a systems approach for comprehensively assessing passenger rail services in the United States in terms of the system’s existing opportunities and future directions. The Hoosier State line operates four days per week between Indianapolis, Indiana and Chicago, Illinois with four intermediate stops. As of October 1, 2013, the State of Indiana, local communities, and Amtrak reached an agreement to support the Hoosier State line for the next fiscal year (2013–2014).


2020 ◽  
Vol 16 (4) ◽  
pp. 494-509
Author(s):  
Jin Weng ◽  
Xiaolin Zhu ◽  
Xin Li
Keyword(s):  

2003 ◽  
Vol 7 (5) ◽  
pp. 603-609 ◽  
Author(s):  
Kyung Whan Kim ◽  
Hyun Yeal Seo ◽  
Young Kim

2012 ◽  
Vol 214 ◽  
pp. 276-281 ◽  
Author(s):  
Yan Chyuan Shiau ◽  
Ron Chen ◽  
Ming Hsi Lin ◽  
Chih Ming Huang

High Speed Rail significantly saves transportation time between cities in which a stable slab track is an essential and important component. This article introduces the quality management on production of precast tracks system, which can act as a reference and application for the concrete industry in Taiwan. Case study is used to investigate the major content of this project which includes quality management, organizational structure, material management, process management and inventory management. Some other key factors are discussed which assure the success of Taiwan High Speed Rail project such as comprehensive plan in advance, strictly execution according to written document, and looking at the bigger picture & performing from the details and putting training into practice.


Author(s):  
Zhenhua Chen

In this study, we focus on the Acela Express, and try to find out how selected internal and external factors affect the Acela Express’s ridership. A two-stage least square regression model is introduced in order to eliminate the endogeneity problem caused by price and ridership. Also the Cochrane-Orcutt Procedure is adopted to solve autocorrelation. The result shows that ticket price and train on-time performances, which are used to being thought as important factors affect ridership become insignificant, while other factors like employment of business and professional in the Northeast Corridor areas have higher influence on high speed train ridership. The broader objective of this research is to provide policy suggestions for building of an efficient high-speed rail network that can both be profitable and solve practical problems that the contemporary transportation system faces.


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