Investigation of indoor environment comfort in large high-speed railway stations in Northern China

2019 ◽  
Vol 29 (1) ◽  
pp. 54-66 ◽  
Author(s):  
Xiaohui Du
Keyword(s):  
High Speed ◽  
Indoor Environment ◽  
Northern China ◽  
High Speed Railway ◽  
Railway Stations ◽  
Acoustic Environment ◽  
Air Temperatures ◽  
Passenger Satisfaction ◽  
The Mean ◽  
Illuminance Uniformity

The indoor environment of high-speed railway stations is more complex than in traditional railway stations. This could lead to complex indoor environment problems. In this study, indoor environmental measurements and passenger satisfaction surveys were conducted in two high-speed railway stations in summer and winter, considering the indoor thermal, natural light, acoustic and air environment. The results indicate that the air temperatures in winter were far below comfort standards. The mean illuminance met the standard requirements in both stations. However, the illuminance uniformity was very low in the summer. The acoustic and air environments were satisfactory and have positive impacts on the overall environmental comfort of passengers. The evaluated acoustic environment indicated this has a worst effect on passengers’ comfort. The depth of the waiting halls affected the air environment. The subjective survey revealed the following: Females were more sensitive to the indoor environment than males in winter. Northerners were more satisfied with the environment than Southerners. Older passengers were slightly more tolerant to the environment. Passengers with a longer waiting time would have higher demands for a better indoor environment. Also, passengers were more tolerant in summer than in winter.

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.

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.

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