scholarly journals Cluster Coordination between High-speed Rail Transportation Hub Construction and Regional Economy Based on Big Data

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Liang Zhao ◽  
Yuanhua Jia
Keyword(s):  
Big Data ◽  
High Speed ◽  
Regional Economy ◽  
Added Value ◽  
Gdp Per Capita ◽  
Rail Transportation ◽  
Railway Transportation ◽  
High Speed Rail ◽  
High Speed Railway ◽  
Per Capita

As people’s lives get better and better, more and more people choose to travel and with that comes the demand for more transportation. For now, traditional transportation hubs can temporarily meet people’s travel needs. If driven by big data concepts and methods, the various capabilities of high-speed rail transportation hubs will be sublimated, and the regional economy will be in line with the prosperity of this place. Proportionally, railway hubs are extremely attractive to the rapid growth of the regional economy. This paper takes the high-speed railway hub construction model under big data as the research object and verifies the reliability of the research model and the development of economic regions based on the high-speed railway data in recent years as reference parameters. This article selects the panel data of railway transportation and regional economy in China’s provinces for 10 consecutive years from 2011 to 2020. Among them, seven indicators were selected for railway transportation: passenger volume, freight volume, passenger turnover, cargo turnover, number of railway employees, railway transportation industry fixed asset investment and construction scale, and per capita railway network density. In terms of regional economy, six indicators were selected: regional GDP, per capita GDP, per capita investment in fixed assets, per capita total retail sales of consumer goods, per capita investment in imports and exports, and the proportion of the added value of the tertiary industry in GDP. The experimental results prove that each sample is tested in pairs, the standard error level of the mean is 0.002, which is less than 0.05, and high-speed railway construction can finally achieve economic integration. By improving the development of high-speed railways, continuously shortening the distance between time and space, breaking regional trade barriers, and reducing the cost of commodity circulation, industrial interaction and coordinated development between different regions can be effectively promoted.

scholarly journals An Empirical Study on the Comprehensive Optimization Method of a Train Diagram of the China High Speed Railway Express

2019 ◽  
Vol 11 (7) ◽  
pp. 2141
Author(s):  
Xueqiao Yu ◽  
Maoxiang Lang ◽  
Wenhui Zhang ◽  
Shiqi Li ◽  
Mingyue Zhang ◽  
...  
Keyword(s):  
Sustainable Development ◽  
High Speed ◽  
Railway Transportation ◽  
Railway Network ◽  
High Speed Rail ◽  
High Speed Railway ◽  
Logistics Industry ◽  
The Sustainable Development ◽  
Express Train ◽  
Multiple Units

The rapid and stable development of China’s economy has driven the increasing demand for express transportation. Based on network operation, China Railway Corporation of High-speed Railway launched high-speed rail products, which have attracted wide attention from all walks of life. With the application of high-speed express trains, the market structure of express transportation in China will change dramatically, from highways as the main mode of transportation to high-speed railway transportation relying on a high-speed railway network, which will effectively reduce the environmental pollution caused by express transportation and further improve the sustainable development of the economy and the logistics industry. At present, the freight Electric Multiple Units (EMU) has been successfully developed and has entered the final test stage. In the last paper, we have introduced the theory and method of the high-speed rail express train operation plan. In addition, a train diagram is an important foundation of railway transportation organization. In order to ensure the sustainable development of high-speed rail express trains after they are put into use, based on the operation plan of high-speed rail express trains, this paper establishes a comprehensive compilation model of a high-speed rail express train diagram, considering train running time, freight flow distribution scheme, and the operation plan of freight multiple units, and an exact solution algorithm based on the Lagrange relaxation algorithm is designed. The computational results are encouraging and demonstrate the effectiveness of the model and solution method.

scholarly journals Assessment of Drivers and Deterrents of Development of High-Speed Passenger Railway Transportation

2022 ◽  
Vol 19 (4) ◽  
pp. 102-109
Author(s):  
M. M. Zheleznov ◽  
O. I. Karasev ◽  
D. A. Rakov ◽  
E. A. Shitov
Keyword(s):  
High Speed ◽  
Technology Development ◽  
Transport Infrastructure ◽  
Innovative Technology ◽  
Rail Transportation ◽  
Railway Transportation ◽  
High Speed Rail ◽  
Environmental Friendliness ◽  
Priority Ranking ◽  
Substantial Investment

Reduction in travel time is one of the eloquent trends in transport developments. It is consistent with the desire of leading transport companies to create conditions to increase traffic speeds.The objective of the article is to analyse prospects and drivers for development of high-speed rail transportation as of a priority transport segment characterised by best safety rates and environmental friendliness as compared to other types of transportation.The review of core parameters of HSR is suggested to show features of its global development.Ecological friendliness, encouragement of labour and other mobility of people, of innovative technology development of railways and interconnected industries are most relevant as universal drivers of HSR development.Constraints due to substantial investment needs, long payback period, necessity to implement additional side projects to develop interrelated transport infrastructure to obtain more tangible economic and social effects, to provide for sufficient passenger flow at the initial or further stages of HSR operation were considered as main deterrents.The factors, their parameters, assessment of their priority ranking when making decisions on construction or development of HSR are determined in each country by transport development strategies, current economic conditions, and a set of other factors. 

scholarly journals The Influence of the Air Cargo Network on the Regional Economy under the Impact of High-Speed Rail in China

2020 ◽  
Vol 12 (19) ◽  
pp. 8120
Author(s):  
Lulu Hao ◽  
Na Zhang ◽  
Hongchang Li ◽  
Jack Strauss ◽  
Xuejie Liu ◽  
...  
Keyword(s):  
High Speed ◽  
Regional Economy ◽  
Eastern China ◽  
Clustering Coefficient ◽  
Central China ◽  
Air Cargo ◽  
High Speed Rail ◽  
Per Capita ◽  
Aviation Network ◽  
The Impact

There is little research on the impact of air cargo networks on regional economic development, which is especially notable considering that Chinese airlines gradually adjusted their networks after the introduction of high-speed rail (HSR). This empirical study aims to fill this research gap. Firstly, we used the Ordinary Least Squares (OLS) method to study the effect of the air cargo network on the regional economy. The results show that, in eastern and central China, the higher the clustering coefficient of the domestic air cargo network, the more significant their promotion effect becomes on the GDP per capita, with cities in eastern China benefitting the most from this effect. However, for super-scale cities, the clustering coefficient of the domestic air cargo network has a significant negative effect on the GDP per capita, which is likely because both the air and HSR passenger services crowd out the development opportunities for air cargo. Secondly, we applied the Difference-in-Difference (DID) method in order to measure the impact on the regional economy caused by air cargo under the impact of HSR. The results show that the aviation network adjusted for the impact of HSR produces heterogeneous effects on cities for different regions and scales, and that the international aviation network has greater impacts on cities than the domestic network. In eastern China, HSR and air cargo (both international and domestic networks) promote economic growth simultaneously; in central China, only domestic air cargo has a positive effect on the regional economy; in western China, neither HSR nor air cargo has an obvious effect on the regional economy. Policy implications—such as encouraging the cooperation of HSR and civil aviation—are discussed, and could help bring the functions of the air cargo network in regional economic development into full play.

High-speed rail network in China: the contribution of fast trains to regional tourism and economic development

2019 ◽  
Vol 75 (2) ◽  
pp. 414-432
Author(s):  
Mingwei Li ◽  
Juan Chen
Keyword(s):  
High Speed ◽  
Regional Economy ◽  
Comparison Method ◽  
High Speed Rail ◽  
High Speed Railway ◽  
Content Type ◽  
Rail Network ◽  
Regional Tourism ◽  
City Tourism ◽  
The Impact

Purpose The high-speed rail network can lead to the transformation of the tourism industry, as well as the regional economy. In the present study, a reasonable method was developed to assess the contributions of high-speed rail network to the development of tourism and economy in a Chinese region known as the “1 + 8” city tourism circle. Design/methodology/approach The method proposed here combines not only tourism revenue but also regional economy in a MGM (1, n) gray model, and it studies the tourist and economic output of this tourism circle before and after the high-speed rail network’s construction using an advanced “with and without comparison” method. Findings By using this method, the accuracy of the prediction of the contribution rate of high-speed rail network is improved. We found that in the “1 + 8” city tourism circle, the high-speed rail network positively contributes to increase of the tourism arrival and tourism revenue. Furthermore, regional economy significantly grows under the impact of the high-speed rail network. Research limitations/implications The “1 + 8” city tourism circle is studied as a closed system in this paper, and the authors focus on the economic associations between the cities in the circle by ignoring the impact from outside this circle. This treatment means, simplifies and enables the feasibility of this study, but it virtually leads to the deviation of outcomes between this study and the practical. Practical implications For theoretical values, by studying a normal Chinese inland region, this study reconfirmed the positive impact of high-speed railway empirically. In the meantime, this study developed an improved method by introducing gray theory models to “with and without comparison” method to calculate the contribution of high-speed railway to the regional tourism and economy development. Such method simultaneously incorporates the indexes of regional tourism income and regional GDP simultaneously. It is direct and convenient as it can achieve accuracy requirements using only a small amount of data, and it reconciles more with reality by considering the interaction of the outcomes of tourism and economy. Social implications For practical values, using the proposed method, a direct and convenient calculation of the contributions of high-speed railway to many other regions can be achieved if the data of the outcomes of tourism and economy can be obtained. In such a way, the regions that really need high-speed railway to stimulate their development can be distinguished from regions whose high-speed railway is under blind construction. Thus, the government may take actions to reassess some uneconomic high-speed railway projects without discouraging the construction of high-speed railway in other regions. The authors believe that this is important not only for China but also for many other countries with high-speed railway projects. Originality/value This study develops a reasonable method of assessing the contribution of high-speed rail to regional tourism and economic development. Using this method, this study confirmed that high-speed rail indeed positively impacts the regional development.

scholarly journals Robustness assessment of China's high-speed railway transportation network

2019 ◽  
Vol 1 ◽  
pp. 1-2
Author(s):  
Zhuo Wang ◽  
Haowen Yan ◽  
Yuhan Huang ◽  
Yazhen Li
Keyword(s):  
High Speed ◽  
Transportation Network ◽  
Transport Network ◽  
Node Degree ◽  
Railway Transportation ◽  
Railway Network ◽  
High Speed Rail ◽  
High Speed Railway ◽  
Scale Free ◽  
Passenger Traffic

<p><strong>Abstract.</strong> The robustness of the high-speed rail transportation network is closely related to the passenger transportation efficiency, and is also a concrete manifestation of the anti-jamming capability of the high-speed railway transportation system. By the end of 2017, the business mileage of Chinese high-speed railway has reached 25,164 km, the number of passengers has reached 175.216 million, accounting for 56.8% of railway passenger traffic; the number of passenger turnover has reached 587.56 billion person-km, accounting for 43.7% of railway passenger traffic turnover.As of 2018 On December 4th, the country operate 4,251 high-speed railway trains every day. At the same time, passenger transportation efficiency of high-speed railways is highly susceptible to sudden events such as natural disasters. Therefore, quantitative assessment of anti-jamming capability of high-speed railway network, and the propose of specific improvements, are of great practical significance to improve passenger transport efficiency, enhance scientific decision-making high-speed rail transport infrastructure investments.</p><p>This paper used the the high-speed train running data on December 4, 2018 to analyze the work.Its high-speed railway network schematic is shown in Figure 1.</p><p>The Scale-free property of networks means that the node degree of networks obeys power-law distribution. It is generally believed that scale-free networks exhibit robustness against random faults and vulnerability to deliberate attacks. In this paper, the regularity of node degree change is expressed by distribution function P(k). As shown in the degree distribution of double logarithmic coordinate system as shown in Figure 2, the network has a great goodness of fit and better obeys power law score.That is to say, the network is a scale-free network.</p><p>In this paper, random attacks and deliberate attack simulations are used to observe the condition of the structure of China's high-speed railway network, and in order to measure the robustness of high-speed rail network. Among them, the formula refers to random delete a node from the network; deliberate attack is to delete nodes according to their importance. Attack strategies for node degree and intermediate centrality are used to determine which nodes are selected for each simulated attack (the lower the importance, the smaller the impact on the network). According to the three attack strategies for the high-speed railway transportation network, experiments are carried out to carry out continuous simulation attacks on the network: in each time, a node in the network and all its connected edges are deleted, the relative average shortest path and average clustering coefficient of the network at this time are counted. And the degree of fragmentation, looping until all nodes in the network are deleted, that is to say, the network is completely invalid. In Fig. 3, Fig. 4 and Fig. 5, the X axis represents the number of attack nodes, and the Y axis represents the current network structure feature metric.</p><p>It can be seen that the intentional attack based on the centrality of node mediation has the most serious damage to the network, that is, in other word, the state of splitting and crashing of the network.. For deliberate attacks, China's high-speed railway transport network is very fragile, and attacking nodes with high intermediary centrality value is the most destructive to China's high-speed railway transport network. Therefore,in order to ensure the normal operation of passenger transport we need to focus on ensuring the stability of the sites with the highest intermediary value. This paper ranks the sites according to the value of intermediary centrality. Figure 6 shows the top 10 sites in China's high-speed rail transport network with centrality as intermediaries.</p>

The Research on the Impact of High-Speed Railway

2014 ◽  
Vol 644-650 ◽  
pp. 6331-6334
Author(s):  
Shi Yu Hua
Keyword(s):  
Economic Impact ◽  
High Speed ◽  
Regional Economy ◽  
Economic Benefits ◽  
Payback Period ◽  
High Speed Rail ◽  
High Speed Railway ◽  
The Impact ◽  
Large Investment

High-speed rail has the characteristic of large investment and a long payback period,so it is necessary to study the economic benefits of high-speed rail. In this paper,we use “With and without compare method” to analyse the economic impact on the areas along Beijing-Tianjin intercity and Wuhan-Guangzhou High-speed Railway,and try to verify the impact on the regional economy of high-speed railway in China.

scholarly journals A Fuzzy Optimization Model for High-Speed Railway Timetable Rescheduling

2012 ◽  
Vol 2012 ◽  
pp. 1-22 ◽  
Author(s):  
Li Wang ◽  
Yong Qin ◽  
Jie Xu ◽  
Limin Jia
Keyword(s):  
Optimization Model ◽  
High Speed ◽  
Fuzzy Optimization ◽  
Soft Constraints ◽  
Accurate Approximation ◽  
Total Delay ◽  
High Speed Rail ◽  
High Speed Railway ◽  
Tolerance Approach ◽  
Rail Line

A fuzzy optimization model based on improved symmetric tolerance approach is introduced, which allows for rescheduling high-speed railway timetable under unexpected interferences. The model nests different parameters of the soft constraints with uncertainty margin to describe their importance to the optimization purpose and treats the objective in the same manner. Thus a new optimal instrument is expected to achieve a new timetable subject to little slack of constraints. The section between Nanjing and Shanghai, which is the busiest, of Beijing-Shanghai high-speed rail line in China is used as the simulated measurement. The fuzzy optimization model provides an accurate approximation on train running time and headway time, and hence the results suggest that the number of seriously impacted trains and total delay time can be reduced significantly subject to little cost and risk.

scholarly journals Monitoring and Modeling Railway Structures on High-Speed Lines with Asphalt Concrete Underlay: A Study on the Bretagne–Pays de la Loire Line

2020 ◽  
Vol 2674 (12) ◽  
pp. 600-607
Author(s):  
Diana Khairallah ◽  
Olivier Chupin ◽  
Juliette Blanc ◽  
Pierre Hornych ◽  
Jean-Michel Piau ◽  
...  
Keyword(s):  
Asphalt Concrete ◽  
High Speed ◽  
Large Scale ◽  
Strain Gages ◽  
Railway Transportation ◽  
Dynamic Stresses ◽  
High Speed Railway ◽  
High Frequencies ◽  
High Acceleration ◽  
High Speed Trains

The design and durability of high-speed railway lines is a major challenge in the field of railway transportation. In France, 40 years of feedback on the field behavior of ballasted tracks led to improvements in the design rules. However, the settlement and wear of ballast, caused by dynamic stresses at high frequencies, remains a major problem on high-speed tracks leading to high maintenance costs. Studies have shown that this settlement is linked to the high acceleration produced in the ballast layer by high-speed trains traveling on the track, disrupting the granular assembly. The “Bretagne–Pays de la Loire” high-speed line (BPL HSL), with its varied subgrade conditions, represents the first large-scale application of asphalt concrete (GB) as the ballast sublayer. This line includes 77 km of conventional track with a granular sublayer of unbound granular material (UGM) and 105 km of track with an asphalt concrete sublayer under the ballast. During construction, instruments such as accelerometers, anchored deflection sensors, and strain gages, among others, were installed on four sections of the track. This paper examines the instrumentation as well as the acquisition system installed on the track. The data processing is explained first, followed by a presentation of the ViscoRail software, developed for modeling railway tracks. The bituminous section’s behavior and response is modeled using a multilayer dynamic response model, implemented in the ViscoRail software. A good match between experimental and calculated results is highlighted.

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