Two high-speed railway stations in Spain: from concept to details

2011 ◽  
Vol 4 (1) ◽  
pp. 21-28 ◽  
Author(s):  
Jorge Bernabeu
Keyword(s):  
High Speed ◽  
High Speed Railway ◽  
Railway Stations

Research of High-Speed Railway Running Economic Benefit Based on Gray Model

2012 ◽  
Vol 253-255 ◽  
pp. 1273-1277
Author(s):  
Xue Dong Du ◽  
Na Ren
Keyword(s):  
Data Analysis ◽  
Prediction Model ◽  
Economic Benefit ◽  
High Speed ◽  
Accurate Prediction ◽  
Gray Model ◽  
Practical Application ◽  
High Speed Railway ◽  
Railway Stations ◽  
Train Operation

The research of high-speed railway running economic benefit is important to timely know well the train operation state for the railway administration. A prediction model of high-speed railway running economic benefit is proposed in this article based on Gray model. The Gray model is a good example to make accurate prediction of the development of matters. According to the data analysis of Beijing and Shanghai railway stations, we can know that the result of prediction model is accurate, so the prediction based on Gray model is scientific and reasonable in the practical application.

scholarly journals A Study on the Practical Carrying Capacity of Large High-Speed Railway Stations considering Train Set Utilization

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Bin Guo ◽  
Leishan Zhou ◽  
Yixiang Yue ◽  
Jinjin Tang
Keyword(s):  
Carrying Capacity ◽  
High Speed ◽  
Programming Model ◽  
High Speed Railway ◽  
Railway Stations ◽  
China Studies ◽  
Important Nodes ◽  
Entire Network

Methods for solving the carrying capacity problem for High-Speed Railways (HSRs) have received increasing attention in the literature in the last few years. As important nodes in the High-Speed Railway (HSR) network, large stations are usually the carrying capacity bottlenecks of the entire network due to the presence of multiple connections in different directions and the complexity of train operations at these stations. This paper focuses on solving the station carrying capacity problem and considers train set utilization constraints, which are important influencing factors that have rarely been studied by previous researchers. An integer linear programming model is built, and the CPLEX v12.2 software is used to solve the model. The proposed approach is tested on a real-world case study of the Beijing South Railway Station (BS), which is one of the busiest and most complex stations in China. Studies of the impacts of different train set utilization constraints on the practical station carrying capacity are carried out, and some suggestions are then presented for enhancing the practical carrying capacity. Contrast tests indicate that both the efficiency of the solving process and the quality of the solution show huge breakthroughs compared with the heuristic approach.

High-Speed Railway PFV Prediction Model Research Under Regional Economic Conditions

2012 ◽  
Vol 569 ◽  
pp. 246-250 ◽  
Author(s):  
Xue Dong Du ◽  
Na Ren
Keyword(s):  
Prediction Model ◽  
High Speed ◽  
Economic Conditions ◽  
High Speed Railway ◽  
Regional Economic ◽  
Railway Stations ◽  
Passenger Flow ◽  
Model Research ◽  
Railway Passenger ◽  
Railway Operation

Under the regional economic conditions, a passenger flow prediction model is proposed in the paper. It can predict high-speed railway passenger flow volume under the conditions of multi-mode, and guide the reasonable operation of high-speed railway effectively. According to the data analysis of Beijing and Tianjin railway stations, we can know that the reasonable ticket price plays an important role in high-speed railway operation benefit under regional economic conditions.

Calculation of Carrying Capacity at High-Speed Railway Stations Based on Route Selection

2015 ◽  
Vol 744-746 ◽  
pp. 1786-1791
Author(s):  
Qian Rui Zhao ◽  
Qi Zhang ◽  
Pei Liu
Keyword(s):  
Carrying Capacity ◽  
High Speed ◽  
Operation Time ◽  
Route Selection ◽  
High Speed Railway ◽  
Railway Stations ◽  
Selection Scheme ◽  
Capacity Calculation ◽  
The Relationship

Carrying capacity calculation at high-speed railway stations is closely related to the trains with different types and arriving rules. Traditional method is not feasible to calculate and evaluate carrying capacity at high-speed railway stations efficiently and accurately. Therefore, a method to calculate carrying capacity at high-speed railway stations was presented by establishing a route selection optimization model and designing corresponding algorithm. In the method, the integration concept of calculating carrying capacity was introduced by establishing the relationship between receiving dispatching route and arrival-departure track. An approach was provided to the solution of route selection scheme and calculating carrying capacity at high-speed railway stations efficiently and accurately by considering the differences of trains with different operation modes and operation time. Case study of Jinan West railway station verifies the feasibility of the method. The presented method can provide a technical support for calculating and evaluating carrying capacity at high-speed railway stations in different scenarios.

scholarly journals Analysis of Mobile Phone Data to Compare Mobility Flows and Hotspots Before and After the Opening of High-Speed Railway: Case Study of Honam KTX in Korea

2020 ◽  
Vol 10 (14) ◽  
pp. 5009
Author(s):  
Jin Ki Eom ◽  
Kwang-Sub Lee ◽  
Ji Young Song ◽  
Jun Lee
Keyword(s):  
Mobile Phone ◽  
High Speed ◽  
Mobile Phone Data ◽  
High Speed Railway ◽  
Railway Stations ◽  
Intercity Travel ◽  
Before And After ◽  
Transit Agencies ◽  
One Year ◽  
The Impact

Mobile phone data provides information, such as the home (origin) and current locations of people. The data can be used to analyze the impact of new high-speed railway (HSR) openings. This study examined the population observed in stations and cities of the Honam HSR line in Korea, based on mobile phone data recorded one year before and after its opening. We analyzed the volume of the population observed at each railway station, density of the distance between home and station, and activity hotspots in a city. The results show that the number of people and travel distance increased after the opening of the HSR. The distance to access railway stations increased, as the HSR saves travel time. Moreover, the activity hotspots in a city increased after the opening of the HSR, as more people gathered near the station area. The findings show that the mobility measures enhanced after the opening of the HSR for regional travel and local activities. These measures can help transit agencies and planners in providing better intercity travel.

scholarly journals Track allocation optimization in high-speed railway stations from infrastructure management and service perspectives

2018 ◽  
Vol 51 (7-8) ◽  
pp. 243-259 ◽  
Author(s):  
Qin Zhang ◽  
Xiaoning Zhu ◽  
Li Wang
Keyword(s):  
Simulated Annealing ◽  
High Speed ◽  
Simulated Annealing Algorithm ◽  
Accurate Method ◽  
Nonlinear Integer Programming ◽  
Walking Distance ◽  
Infrastructure Management ◽  
High Speed Railway ◽  
Railway Stations ◽  
Annealing Algorithm

Background: The high-speed railway has been developed rapidly, making track allocation optimization in high-speed railway stations one of the most important problems for traffic control. Methods: This paper proposes a 0-1 nonlinear integer programming model from both infrastructure management and service perspectives to solve this problem at the tactical level. The goal is to balance the track occupation time and at the same time to minimize the total walking distance between the entrance hall and the platforms for all passengers. A pre-calculation technique of time points considering the preparation of the route and a line group method are firstly studied. In order to solve the programming, the simulated annealing algorithm is applied. Results: A case of a China high-speed railway station is used to verify the effectiveness of this model. The optimized result is much better than the original plan in some key indicators. A comparison between the proposed algorithm and an accurate method, the branch-and-bound, is demonstrated. The simulated annealing algorithm obtains almost the same result as the accurate method in a much shorter time. Conclusions: The proposed model is practicable for the the high-speed railway stations.

Situating High-Speed Railway Stations within Local Urban Contexts: Passenger Satisfaction with Intermodal Integration at the Hong Kong HSR Station

2020 ◽  
Vol 46 (3) ◽  
pp. 362-378
Author(s):  
Bo Wang ◽  
Becky P.Y. Loo ◽  
Lu Li
Keyword(s):  
Hong Kong ◽  
Public Transport ◽  
High Speed ◽  
High Speed Railway ◽  
Railway Stations ◽  
Public Transport System ◽  
Travel Experience ◽  
Passenger Satisfaction ◽  
Walking Environment ◽  
Ticket Purchase

With more high-speed railway (HSR) being built worldwide, its be er integration into the 'urban fabric' is imperative. Focusing on the travel experience, this paper presents an analysis of the intermodal integration of HSR with the local public transport system at the newly opened HSR station in Hong Kong. A participatory survey was conducted with arrival passengers making intermodal transfers to local destinations using the metro, bus, and taxis. Participants were asked to recall and rate their travel experience from the exit of HSR station to the public transport stops. This is the first study that integrates both objective and subjective measurements of regional–local intermodal integration holistically from a passenger perspective. In the survey, respondents generally reported a positive experience. However, there were signi ficant diff erences for diff erent interchange modes. At a more theoretical level, ten service a ributes including both instrumental and aff ective dimensions were found to have signi ficant in fluence on the intermodal interchange experience. Furthermore, the importance-satisfaction analysis suggests that three instrumental factors (ticket purchase, time coordination, interchange signage) are in most urgent need of improvement, while good service quality of four aff ective factors (walking environment, cleanliness, congestion-free waiting area, and luggage delivery) should be maintained and strengthened.

Sign in / Sign up

Export Citation Format

Share Document