Analysis on shock effect of China’s high-speed railway on aviation transport

Chai, Jian; Zhou, Youhong; Zhou, Xiaoyang; Wang, Shouyang; Zhang, Zhe George; Liu, Zenghui

doi:10.1016/j.tra.2017.12.001

Cited by 44 publications

(31 citation statements)

References 22 publications

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“…The first ones deal with the demand level, modal share and transport accessibility variations (e.g. Delaplace et al, 2016 , Martin et al, 2014 , Börjesson, 2014 , Chai et al, 2018 , Wan et al, 2016 , Cascetta and Coppola, 2017 ). Socio economic impacts deal with the analysis of the externalities in terms of land-use changes (e.g.…”

Section: Introduction and Motivationsmentioning

confidence: 99%

Economic growth, transport accessibility and regional equity impacts of high-speed railways in Italy: ten years ex post evaluation and future perspectives

Cascetta

Cartenì

Henke

et al. 2020

Transportation Research Part A: Policy and Practice

106

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Highlights HSR had impacts on socio-economic, territorial and transport systems in several countries. The paper analyses the impacts induced by HSR services in Italy after ten years of operation. Italy represents the first case of competitive HSR market without public subsidies. Competition between HSR operators brought a significant decrease in ticket prices (-40%) HSR passengers/year passed from 15 to 45 millions (+200%) in 10 years. HSR contributed, in 10 years, to an increase of the rail-based transport accessibility up to + 30% HSR contributed to an extra growth of per capita GDP of + 2.6–5.6% in 10 years. Regional equity in terms of travel time accessibility decreased by 11% in 10 years. Extension of the HSR network would increase accessibility (+18%), economic growth (+3.6%) and equity (+49%)

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Section: Introduction and Motivationsmentioning

confidence: 99%

Economic growth, transport accessibility and regional equity impacts of high-speed railways in Italy: ten years ex post evaluation and future perspectives

Cascetta

Cartenì

Henke

et al. 2020

Transportation Research Part A: Policy and Practice

106

View full text Add to dashboard Cite

show abstract

“…By the end of 2018, the total highway mileage in China had exceeded 140,000 km, ranking first in the world for eight consecutive years, and it was far ahead of the secondplace country [21]. The mileage for high-speed railways was 29,000 km, which was more than 60 % of the total mileage for high-speed railways around the world [22].…”

Section: Overview Of Superhighways a Background Of Superhighwaysmentioning

confidence: 99%

Superhighway Virtual Track System Based on Intelligent Road Buttons

Pei

Kang

et al. 2020

IEEE Access

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To improve the safety of superhighways, a virtual track system for superhighways based on intelligent road buttons is studied by means of a structural analysis and mathematical model. The system consists of a road subsystem, onboard subsystem and service center subsystem. When a vehicle equipped with an onboard subsystem nears the road buttons, they activate the virtual track system, and the reader reads location coordinates and road alignment information at that point from the label buttons. At the same time, the data processing module begins to function. First, the module reads the linear parameters and processes them to obtain the angle between the road tangent and vehicle body. Then, the module reads the angle of the front wheels, the vehicle speed and the distance between the adjacent two label buttons. Finally, the module obtains the rotational speed of the steering wheel while the vehicle is driving between two label buttons by using the computational model and sends the control parameters to the steering motor. The research results show that when the design speed of the superhighway is 140 km/h, 160 km/h and 180 km/h and the distances between the road buttons are less than 1.33 m, 1.50 m and 1.69 m, respectively, the distance between the centerline of the road and the vehicle can be restricted to less than 50 cm. Therefore, the virtual track system based on intelligent road buttons can restrict vehicles to travel in the virtual track and ensure the safety of superhighways.

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“…When the HSR company supervises three agents in a dynamic RPCS, the initial strategies of the four stakeholders of the game are 5 , and the reward-penalty coefficient is…”

Section: Stability Analysis Of An Optimized Multiple-agent Supervisiomentioning

confidence: 99%

“…Therefore, gas pipelines, high-speed railways (HSR), subways, airports, tunnels, bridges are constructed and brought into service constantly [1,2]. In recent years, the development of HSR as one of the main initiatives, regarding transport infrastructure, pursued by many countries due to its advantages of high punctuality rate, safety, comfort, little environmental impact, less economic investments required, low energy consumption, and high speed [3][4][5]. HSR around the world have been continuously carrying out the innovation of technological, management and institutional [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Game Modelling and Strategy Research on the System Dynamics–Based Quadruplicate Evolution for High–Speed Railway Operational Safety Supervision System

Wang

Zhang

et al. 2019

Sustainability

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In view of the entrusted transportation management model (ETMM) of China’s high–speed railway (HSR), the supervision strategy of an HSR company for its multiple agents plays a very important role in ensuring the safety and sustainable development of HSR. Due to the existence of multiple agents in ETMM, the supervision strategy for these agents is usually difficult to formulate. In this study, a quadruplicate HSR safety supervision system evolutionary game model composed of an HSR company and three agents was established through the analysis of the complex game relationship existing in the system. The behavioral characteristics and the steady state of decision–making of all stakeholders involved in the system are proved by evolutionary game theory and system dynamics simulation. The results show that there will be long–term fluctuations in the strategies selected by the four stakeholders in the static reward–penalty control scenario (RPCS), which indicates that an evolutionary stable strategy does not exist. With increases in the reward–penalty coefficient, the fluctuations are intensified. Therefore, the dynamic RPCS was proposed to control the fluctuations, and the simulation was repeated. The results show that the fluctuations can be effectively restrained by adopting the dynamic RPCS, but if the coefficients are the same, the static RPCS is better than the dynamic RPCS for increasing the safety investment rate of the three agents. This demonstrates that the HSR company should apply these two control scenarios flexibly according to the actual situation when formulating a supervision strategy in order to effectively control and enhance the safety level of HSR operations when multiple agents are involved.

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Analysis on shock effect of China’s high-speed railway on aviation transport

Cited by 44 publications

References 22 publications

Economic growth, transport accessibility and regional equity impacts of high-speed railways in Italy: ten years ex post evaluation and future perspectives

Economic growth, transport accessibility and regional equity impacts of high-speed railways in Italy: ten years ex post evaluation and future perspectives

Superhighway Virtual Track System Based on Intelligent Road Buttons

Game Modelling and Strategy Research on the System Dynamics–Based Quadruplicate Evolution for High–Speed Railway Operational Safety Supervision System

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