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The objective of this study was to determine the differential effects of the presentation position of the augmented reality–head worn display (AR-HWD) interface and the audiovisual-dominant multimodal learning material on learning performance and cognitive load across different learning tasks in training for high-speed train driving. We selected 48 participants to conduct an AR driving training experiment for high-speed trains. The results indicated that whether or not the AR interface was presented next to the learning target did not significantly affect learning performance and cognitive load. In complex learning tasks, such as learning to operate the controller of a high-speed train and to remember the steps of swapping the front and tail of the train, the auditory-led AR learning materials were effective in improving learning performance and reducing cognitive load compared with the visual-led AR learning materials. In the simple task of icon recognition, the visual-led AR learning materials performed better in terms of learning performance and cognitive load. The results of this study can guide the design of AR-HWD interfaces for different learning tasks in training for high-speed train driving, which can improve learning performance and reduce cognitive load during the learning process. HIGHLIGHTS We studied the position of AR interface presentation and AR multichannel learning for high-speed train-driving training. Whether or not the AR interface was presented next to the target did not have a significant effect on learning performance for that target. Auditory-dominant interfaces outperformed visual-dominant interfaces in complex learning tasks. Visual-dominant interfaces outperformed auditory-dominant interfaces in simple recognition tasks. [ABSTRACT FROM AUTHOR]

With the increase in haze pollution in Chinese cities, answering the question of whether using a high-speed rail (HSR) as a green and efficient transportation system can alleviate haze pollution in China has become a research hotspot. This study empirically tests the impact of HSR network construction on haze pollution and its spatial spillover effects. (1) The construction of a HSR would have a mitigation effect on haze pollution in node cities and surrounding cities, and the more developed the HSR is, the more significant that this effect would be. (2) Haze pollution persists for a long time, the haze pollution from the previous year may have a positive promoting effect on the haze pollution in the following year. (3) The use of a HSR reduces haze pollution by replacing traditional road transportation and promoting industrial structure upgrading and technological innovation. (4) The inhibitory effect of HSR use on haze pollution varies due to regional differences and variation in city size. [ABSTRACT FROM AUTHOR]

Using the difference-in-differences method combined with the propensity score matching, this study identifies the causal relationship between high-speed rail (HSR) and energy productivity in China. Furthermore, we investigate the mechanism through which HSR affects energy productivity, as well as the heterogeneity of the impact across quantiles and distances. The results show that HSR connection contributes to the improvement of energy productivity. This finding is consolidated after a potential endogeneity problem is addressed using the instrumental variable method and a variety of potential confounders are controlled through a series of robustness checks. On average, the marginal impact of HSR on energy productivity is approximately 9%. Moreover, HSR connection cannot be completely substituted by traditional railway and aviation in improving energy productivity. The heterogeneity analysis suggests that the positive energy productivity effect of HSR gradually decreases with an increasing distance to the nearest HSR station. In addition, HSR network accessibility has a significant positive effect on energy productivity, while technological innovation mediates the relationship between HSR development and energy productivity. We propose that to achieve the long-term improvement of energy productivity, policymakers should comprehensively consider both transit-oriented development and ecology-oriented development modes. [ABSTRACT FROM AUTHOR]

Even though the influence of high-speed rail (HSR) on innovation has drawn sustained attention, few studies have investigated the effect on technology transfer (TT), and even fewer studies have examined the structural dependency between transportation and TT. Using the exponential random graph model for multilevel networks, this study attempts to provide an in-depth analysis of the impact from a two-level network perspective, with the associated network configuration providing insights into how HSR shapes intercity TT. Our findings suggest that HSR facilitates inter-city TT and promotes innovation convergence. Specifically, cities with a higher degree centrality are more active in exporting technology rather than absorbing it. In contrast, the betweenness and closeness centrality of cities have no significant effect on TT. The effect of HSR, which is apparent among cities with direct connections along HSR lines, decays significantly in cities with indirect connections. This work allows for the identification of the conducive HSR layout for promoting inter-regional TT. • Explore the impact of HSR on inter-city technology transfer using MERGM. • HSR induces the technology diffusion effect and promotes innovation convergence. • The direct connection effect of HSR far exceeds the indirect effect. • Degree centrality of cities in HSRN can significantly promote technology export. • Digital economy and fiscal expenditure for innovation contribute to technology absorption. [ABSTRACT FROM AUTHOR]

This study elaborated an evolutionary game model to optimize the decision-making process on the interaction between civil aviation and high-speed rail under alternative passenger ticket prices (PTPs) and carbon trading prices (CTPs). First, a logit model was used to calculate the passenger flow distribution rate in civil aviation and HSR, and their revenue loss function was determined according to varying PTPs and CTPs. Second, an evolutionary game model with incomplete information was developed to assess the respective revenues. Third, the stable strategy solution of the game model was derived from replicator dynamics, and an investigation of stable conditions under variable cases was performed. Finally, the simulation of a case study on the Beijing–Shanghai corridor was conducted to validate the proposed model's feasibility. The additional revenue is shown to be the key influencing factor, mainly controlling the strategic decisions of airport and high-speed rail companies. Besides, the final strategy was strongly influenced by the alteration of PTPs and CTPs: higher PTPs promoted civil aviation and high-speed rail collaboration, while increased CTPs forced their competing behavior. The results obtained are instrumental in outlining the optimal strategy range for passenger ticket and carbon trading prices, encouraging high-speed transportation system growth. [ABSTRACT FROM AUTHOR]

A high-quality railway track resting on an excellent foundation is required to support high-speed railway transportation. The foundations of high-speed railway tracks are generally constructed on the lifted embankment with the improved ground using different reinforcement agents like geosynthetics and rigid lateral support. The present study performed dynamic finite element simulations on a ballasted rail track laid over a geosynthetically reinforced embankment with and without facing wall support. Three foundation geometries were analyzed to examine the effect of facing wall support and geosynthetics on the lateral resistance of the foundation. An area loaded with a constant pressure was moved at a constant speed, causing the load motion at different speeds in the 90-360 km/h range. Different parameters were calculated at node paths to help understand the lateral effect of moving load. The results showed that the lateral resistance based on nodal acceleration and velocity increased with facing wall support in the range of 40%-57%. Any increment over the minimum facing wall thickness of 300 mm does not significantly increase lateral resistance. Geosynthetics provided a vital function in the foundations with a less bulk volume of soil and increased the lateral resistance by 10%. [ABSTRACT FROM AUTHOR]

The Yangtze River Economic Belt (YREB) is an important ecological barrier in China. From new perspectives, this paper explores the mechanism of high-speed rail (HSR) for green economic growth (GEG) in the YREB. This paper constructs 108 city panel data at the prefecture level and above in the YREB from 2003 to 2020. Difference-in-differences (DID) is adopted to research the impact of high-speed rail on GEG in the YREB. (1) HSR has significantly improved the GEG of the YREB. The effect value is 4.88%. The parallel trend test suggests that DID is valid. A time-varying instrumental variable combining average altitude and historical railway network is constructed for the endogeneity test. (2) Propensity score matching (PSM) and DID (PSM-DID) were employed to test the sample selection bias. (3) A battery of robustness tests, including the placebo test, variable replacement, and policy interference exclusion, is carried out. The conclusions are still valid. (4) HSR can promote the GEG of the YREB by encouraging technological innovation, industrial upgrading, and increasing ecological efficiency. The contribution rate from the largest to the smallest is ecological efficiency, industrial upgrading, and technological innovation. (5) Heterogeneity analysis shows that HSR has played an important role in encouraging GEG in the eastern, peripheral cities, and the downstream cities of the YREB. Finally, this paper puts forward policy suggestions for promoting GEG in the YREB. [ABSTRACT FROM AUTHOR]

High carbon emission efficiency is an important guarantee for achieving the goals of "carbon peaking" by 2030 and "carbon neutrality" by 2060. Based on the panel data of prefecture-level cities from 2003 to 2018, the spatial difference-in-difference model is used to empirically test the spatial spillover effect of the opening of high-speed rail (HSR) on urban total factor carbon emission efficiency (TFCEE). The results show that the spatial correlation of TFCEE between regions is positive, and the opening of HSR has a significant positive spatial spillover effect on TFCEE. The conclusion is still valid after a series of robustness tests. We further employ a mediating effects model to verify that green technology innovation and labour resource mismatch are two important channels of influence for the opening of HSR to improve TFCEE. The heterogeneity analysis shows that the opening of HSR significantly promotes the higher development level and the provincial capital TFCEE. [ABSTRACT FROM AUTHOR]

The Chinese government continues to contribute to tackling the global climate challenge and plans to continue lowering carbon emissions in the transportation infrastructure field. The comprehensive assessment of the impact of carbon emissions is mainly focused on high-speed railways (HSRs). This paper proposes a life-cycle cost considering carbon emissions (LCCCCE) model for HSR projects, which consists of a general life-cycle cost (GLCC) model and a quantified carbon emissions cost (CEC) model. The Beijing-Shanghai HSR is employed as a case study, in which the LCCCCE and sensitivity of carbon emission factors are analyzed using the proposed methodology. The results show that the LCCCCE of the Beijing-Shanghai HSR is 64.56 billion USD, and that its CEC is 1.04 billion USD, which contributes 1.61% to the LCCCCE. Thus, the LCCCCE analysis of HSRs or transportation infrastructure projects is an effective methodology to quantify the impacts of carbon emissions in China and around the world. [ABSTRACT FROM AUTHOR]

A better reconciliation of haze pollution and economic growth has become the social consensus in China. The development of China's economy and air quality will be significantly impacted by its efforts to create high-speed rail (HSR). Based on panel data from 265 prefecture-level cities in China from 2003 to 2019, this paper investigates how the opening of HSR affects the spatial mismatch of haze pollution and economic growth by using the spatial mismatch index model, multi-period difference-in-differences (DID) model, and intermediary effect model. We find that the spatial mismatch in China has an overall decreasing trend. And its spatial agglomeration is dominated by low levels. Further empirical analysis shows that HSR opening can effectively restrain the spatial mismatch. Even after some robustness tests and endogenous treatment, the conclusion is still valid. In addition, population density, FDI, and industrial structure are also explicit factors affecting the spatial mismatch. Second, there is significant heterogeneity in the impact. This is reflected in the fact that HSR opening can suppress the spatial mismatch of service-oriented cities and the eastern region, while other cities and regions have no noticeable effect. Third, spatial transfer of haze pollution (STHP) and balanced development of economic growth (BEG) are two important conduction paths for the opening of HSR to affect the spatial mismatch. Specifically, HSR opening can constrain the spatial mismatch by inhibiting STHP and BEG. Based on the above findings, recommendations related to promoting a better harmony between haze pollution and economic growth are proposed. [ABSTRACT FROM AUTHOR]

As the main artery of the national economy, the national major livelihood project and the hub of the comprehensive transportation system, the status and role of high-speed railway stations are increasingly prominent, and the stations are faced with huge demand for carbon reduction and transformation challenges. This paper discussed the intelligent, green, and humanistic development path of the large high-speed railway station in cold regions, which had various design requirements, difficult construction, and high energy consumption. Taking Mudanjiang railway station as an example, starting from its actual functional requirements and characteristics, the concept was proposed which combining smart and low carbon into the full process of design, construction, operation, and maintenance. The concept provide a reference for the performance optimization, cost control and quality improvement of large high-speed railway passenger stations in cold regions. [ABSTRACT FROM AUTHOR]

This paper investigates the payment scheme and forecast information sharing issues in the express delivery logistics with the high-speed railway. The HSR carriers need to coordinate the transportation capacity between passenger and freight. It is widely recognized that the advance payment scheme (APS) using as deposit is a beneficial way for the HSR carriers to make decisions on the transportation capacity preserved for express delivery. However, the express service providers, who possess private forecast information of express delivery demand, may share inaccurate information with the HSR carriers to acquire sufficient preserved transportation capacity. This paper discusses what payment scheme is preferred by the HSR carrier, the express service provider through discussing the deposit decisions with or without forecast information sharing. We show that sharing demand forecast information can reduce the prereserved capacity and increase the profits of the HSR carrier. With the delayed payment scheme (DPS), the express service provider has no motivation to share the information; while with the APS, the HSR carrier can reasonably choose the deposit to encourage the express service provider to share the demand information. Our analysis also shows that the HSR carrier's profits with the APS is restricted by the investment returns and the express service provider's information sharing decisions. We also analyze the value range of the deposit, which is a proportion of the overall payment, that allows both the HSR carrier and the express service provider to prefer the APS, as well as to encourage the express service provider to share the demand information. [ABSTRACT FROM AUTHOR]

This paper summarizes the results of an effort aimed at improving train operation schedules on Wuhan-Guangzhou high-speed railway (WG-HSR). The real-record train operation and passenger tickets-booking records of WG-HSR are used for statistical analysis on the train service quality and passenger distribution. More specifically, the train service frequency and interval time at each station are analyzed. Based on this, the temporal and spatial distribution of capacity utilization in each section are investigated. In order to get a holistic view of passenger flow characteristics, the passenger volume during different time periods and between several origin and destination (OD) pairs are investigated to characterize travellers' spatial-temporal preferences. The passenger distributions on some long-distance trains are shown to get the number and proportion of cross-line passengers travelling on the WG-HSR. Moreover, for a better understanding of the seat capacity utilization of trains, the load rates of trains in various sections and time periods are investigated. Specifically, the relationship between the average load rate of trains and trains' running distance is explored, finding that the longer the non-cross-line train travels is, the higher the average load rate is. This study provides insightful findings that help understanding HSR operation and conducting further research. [ABSTRACT FROM AUTHOR]

The Express Railway Link (XRL) offers unprecedented mobility within the Pearl River Delta and connects Hong Kong to mainland China's high-speed rail network. As reflected in the pages of regional and national newspapers, the XRL figures prominently in the re-imagining of scales of community and governance in the Pearl River Delta. These 'infrastructural imaginaries' are shaped not just by the transportation infrastructure of trains and stations, but also by the migration infrastructure of travel permits and identification cards. Drawing on infrastructure studies and the politics of scale to shed light on the multi-scalar politics of infrastructure in contemporary China, this article traces how understandings of infrastructure and scale changed as the XRL went from regional project to one component of China's national high-speed rail grid. [ABSTRACT FROM AUTHOR]

The high-speed rail (HSR) is one of the most important, if not the most important, emerging transportation that could exert significant influences in many areas, including economic development, social development, financial development, environmental protection, etc. This paper focuses on examining the impacts of HSR on the development of the industrial structure. Since most of the studies in this area are related to central cities (provincial capitals and municipalities directly under the central government), to fill in the gap in the literature, in this paper, we investigate the impacts of HSR on non-central cities in China. To do so, we use the propensity score matching difference-in-difference (PSM-DID) method to investigate the siphoning, spillover, and moderating effects of the opening of the HSR on the development of the industrial structure in the cities along with or nearby the HSR. In addition, we conclude both the robustness tests and the heterogeneity analysis in our study. We find that the opening of HSR significantly promotes the rationalization of non-central cities' industrial structure, as well as improves the advancement of the industrial structure for non-central cities which are less than 100 km away from the central city. Moreover, the four moderating variables, the urban innovation index, the new urbanization construction level, the nearest distance from the central city, and the medical services insurance coverage rate, make the HSR has a positive impact on the rationalization level of industrial structure. Our findings are useful for both central and local governments and policymakers in accurately formulating policies related to the planning and construction of HSR, city planning, and planning the development of the industrial structure for each city nearby the HSR. • Investigate the impacts of HSR on industrial developments for non-central cities. • Propose five hypotheses in terms of the siphoning, spillover and moderating effects. • Construct econometric models and conduct empirical studies to prove the newly proposed hypotheses are correct. • Provide policy suggestions for both central and local governments. [ABSTRACT FROM AUTHOR]

Copyright of Journal of South China University of Technology (Natural Science Edition) is the property of South China University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

• Competition and coopetition of airline, intercity bus, and entrant HSR operators. • The main driver for the operators' pricing competition is identified. • Non-pricing strategies may be necessary for the incumbent operators' survival. • Short-term government policies may not guarantee the passengers' full satisfaction. We investigate pricing competition between passenger transportation modes in a transportation market by using a game-theoretic approach. Airplane and intercity bus operators are considered as incumbent; while a High-Speed Rail (HSR) operator decides on whether or not to enter the market. If the incumbent operators evaluate the entrance threat of HSR as serious, they have two alternatives: a barrier pricing strategy (BPS) to deter its entrance, and an accommodation pricing strategy (APS). Their interaction involves two competitive and cooperative aspects, called the coopetition interaction. Moreover, we extend the analysis to a real-world situation in which a government, as a social welfare maximizer, intends to certify and support one operator out of two candidate HSR operators. Our analyses reveal that: (a) the passengers' heterogeneity (with respect to their perceptions on the operators' quality of services) is the main driver for pricing competition between the three operators. (b) Under certain conditions, implementing a BPS is not only precluded for the incumbent operators, but also their pricing strategies cannot even guarantee their survival in the market. To address this issue, we suggest the incumbent operators adopt non-pricing strategies. Nevertheless, an incumbent operator may freely ride on the other ones' non-pricing strategy. (c) Under a short-term (long-term) planning horizon, the government should specifically concentrate on compensating for the HSR operating cost (procurement cost of rolling stock). (d) In contrast to the short run, government expenses and the HSR's profit exploitation provide a strong foundation for the passengers' full satisfaction in the long run. [ABSTRACT FROM AUTHOR]

This study examines the impact of high-speed rail (HSR) on the formation of consumer cities in China. We employ the market access (MA) approach and construct the least-cost path spanning tree network as an instrument to estimate the causal impact of HSR development on the socio-economic changes of counties from 2007 to 2016. Through a set of instrumental variable regressions, we find that districts with high MA growth experienced service sector agglomeration, manufacturing sector decentralization, and land price appreciation. These effects are relatively large for the urban districts of first- and second-tier Chinese cities. Through counterfactual analysis, we find that the absence of an HSR network decreases the growth of the number of service firms and service land price by 6.11% and 52.2%, respectively. These results suggest that HSR plays a key role in the rise of consumer cities by improving market access/integration, which transfers the economic structure from production to consumption. [ABSTRACT FROM AUTHOR]

In the context of China's commitment to peak carbon emissions by 2030 and achieve carbon neutrality by 2060, as well as its strategy to build a strong transportation country, it is of foremost importance to study the carbon emission reduction effect of the opening of high-speed rail (HSR). This paper innovatively introduces the frequency of HSR stops as an indicator of HSR operation, and uses a time-varying difference-in-difference (DID) model, a mediating effect model and a spatial DID model to assess the direct and indirect impact, transmission mechanism, and spatial spillover effects of the opening and operation of HSR on carbon emission reduction based on a panel of 279 prefecture-level cities from 2003 to 2017. We found that the opening and operation of HSR significantly reduced urban carbon emissions. The direct transmission mechanism analysis shows that the opening of HSR can reduce carbon emissions by replacing highway passenger traffic. Indirect mechanism analysis shows that the opening of HSR can reduce carbon emissions through technological effect, structural effect and opening effect. The test of spatial spillover effect shows that the opening of HSR can promote carbon emission reduction not only in node cities, but also in neighboring cities. [ABSTRACT FROM AUTHOR]

Copyright of Railway Standard Design is the property of Railway Standard Design Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The high-speed rail (HSR) network in China has expanded rapidly, significantly reducing transportation costs and improving accessibility. However, scholars are concerned about whether HSRs further centralize resources and intensify regional polarization. This paper studies the role of HSR in the process of urban development and regional integration in the Yangtze River Delta (YRD). We use two indicators (overall connectivity and weighted centrality) to examine the impacts of HSR connection on spatial redistribution, and we adopt a difference-in-differences (DID) analysis to investigate the effects of HSR on local economic development. The results show that HSR operation enormously improves the overall connectivity of urban networks in the YRD. However, it also exacerbates the disequilibrium of urban centrality, forming a hierarchical spatial structure with Shanghai, Nanjing and Hangzhou as hubs. HSR connections also impede local economic growth in peripheral areas. Moreover, the results confirm the existence of a dynamic time-lagged effect on local economic growth, and the heterogeneous impact of HSR also aggravates regional economic disparities. This paper highlights the effects of HSR on the development of cities and regions, and suggests that government should exert greater efforts to reduce the negative effects of the development of HSR. [ABSTRACT FROM AUTHOR]

• Impacts of high-speed rail (HSR) on knowledge economy were analyzed in Japan. • The study used difference-in-differences specification with multiple timeframes. • HSR development had a significant positive effect on regional innovation. • Propensity score matching and instrumental variable analysis results are robust. • The innovation effect of HSR is larger in small town/villages than in large cities. This study investigates the impact of high-speed rail (HSR) on regional innovation through an empirical analysis that uses municipal-level panel data covering all 1,741 municipalities in Japan, and spanning the period from 1976 to 2016. The study assumes that the number of patent applications serves as a proxy for regional innovation and follows a negative binomial distribution. A difference-in-differences specification with multiple timeframes is employed for the empirical analysis. The results reveal that HSR development has had a significant positive effect on regional innovation, supporting the companion innovation hypothesis. Robustness checks, such as through combining propensity score matching and the instrumental variable methods with difference-in-differences analysis, are also conducted. The results suggest that the effect of HSR on regional innovation in small towns and villages is larger than that in large cities. This implies that inter-regional communication opportunities for employees could play a key role in fostering innovation in small rural areas. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to develop a partner selection approach for the high-speed rail (HSR) firms from the perspective of achieving competitive advantage in the international competitive bidding sphere. Design/methodology/approach: The current study developed a partner selection approach based on the evolutionary game theory. Firstly, the current study identified the influencing variables and logical formation path of competitive advantage on the international HSR project by literature review and case analysis. After that, a pay-off model was developed based on the theoretical foundation. Meanwhile, the evolutionary stable strategy was analyzed for different combinations of initial pay-offs. Findings: A real-world case was simulated to verify the effectiveness of the developed approach. The simulation results secured support from three industry professionals, indicating the developed approach is valid. Originality/value: The current study can help HSR firms to select their partners and develop a cooperation strategy from the perspective of winning awards. Also, the proposed approach is based on the advantage driving variables and formation path, which can contribute to HSR firms' understanding of the sources of competitive advantage. [ABSTRACT FROM AUTHOR]

Whether high-speed rail (HSR) can promote the coordination between the economy and environment is a critical issue that needs to be investigated. We used balanced panel data of 281 prefecture-level or above cities in China from 2005 to 2017 to consider the opening of HSR as a quasi-natural experiment. We integrated the difference-in-differences (DID) model, the spatial difference-in-differences (SDID) model, and social network analysis (SNA) to empirically investigate the impact of HSR on urban environmental efficiency (UEE). The results showed that HSR significantly improved UEE by 4.6% annually during the study period, although the effect of HSR on UEE exhibited a time lag and varied dramatically in different cities. An analysis of the mechanism showed that the effect of technological innovation and the structural effect brought by the opening of HSR were the main contributors to the improved UEE. Further analysis showed that HSR service centrality also significantly improved UEE and HSR opening and HSR service centrality both had positive spatial spillover effects on the UEE of neighboring cities. Several policy implications are proposed accordingly to make full use of the advantages of HSR to improve UEE for China. [ABSTRACT FROM AUTHOR]

Air and high-speed rail (HSR) intermodal service (AHIS) breaks through the barriers of aviation and HSR, which builds a modern integrated transportation system. However, this system also poses a challenge to operators to provide satisfactory travel services for passengers. This paper aims to identify the service indicators that influence travelers' overall satisfaction with AHIS and the relationships between them based on research data acquired from a passenger behavior survey at Shijiazhuang Zhengding International Airport (SJW) in 2019. First, a Bayesian network (BN) is constructed by integrating the greedy thick thinning (GTT) algorithm with expert knowledge. Then, sensitivity analysis and overall satisfaction prediction are conducted to determine the correlation and influence effect between service indicators and overall satisfaction. The research findings are as follows: (1) Compared to a binary logit model, the Bayesian network shows high fitting and prediction accuracies. (2) Transfer time is negatively correlated with satisfaction, for AHIS with the same total travel time, travelers tend to choose services with less transfer time since this choice increases their satisfaction. Interestingly, passengers are more tolerant of the travel time of airline than HSR. (3) Service indicators such as real-time information, arrival punctuality and ticket price have the highest sensitivity values for overall satisfaction. The results can provide useful suggestions for AHIS operators. [ABSTRACT FROM AUTHOR]

Background: Nowadays, a gradual change in customers' attitudes towards transport service makes it more challenging to understand the reasons behind customers' travel decisions. High-speed rail (HSR) has been mentioned recently and is expected as the best and most modern transport option in long-distance trips in Vietnam. However, research studies have paid scant regard to how HSR's attributes may affect potential users, and therefore the motivations and barriers to adopting HSR are still unknown. Objectives: This study aimed at examining motivations and barriers to take-up HSR for considering customers' preference on the proper attributes and levels of HSR. Method: This study drew on a nationwide survey and conjoint analysis to investigate customers' behaviour. Results: In Vietnam's context, HSR ticket was found to be the principal barrier to adoption, whereas the speed of HSR was identified as the least important behavioural driver amongst potential HSR users. The results show that HSR design and planning should provide a combination of minimum check-in and waiting time, a 20-min frequency, average speed of 250 km/h, all add-on services and facilities, ticketing of approximately VND 500–700 thousand per 300–500 km and nearby all-day parking. Conclusion: This investigation has demonstrated the value of conjoint analysis to compare a wide range of attributes associated with consumers' decision to use HSR. The findings indicate that in countries such as Vietnam, in particular, where train usage is low, policymakers and transportation agencies seeking to boost the use of HSR must take attributes other than fare into consideration. [ABSTRACT FROM AUTHOR]

The study of urban and regional impacts of high-speed rail (HSR) has drawn much attention in the research literature over the last few years. Previous studies have mostly used traditional tools (cost–benefit analysis, hedonic models, discrete choice modeling, and so on) to conduct ex ante analyses of potential HSR impacts. However, little attention has been paid to know the views of representatives from different economic sectors and their potential contribution to the participatory phase of the planning process. To address this limitation, this paper developed an ex ante participatory approach for analyzing HSR's urban and regional impacts, which fed into and complement other traditional assessment tools. This approach was applied to the case study of San Sebastian and its province in Spain, which should be linked to the Spanish HSR network by 2025. The research found that different economic sectors agree on some economic impacts triggered by HSR but disagree on many social and regional equity impacts. The paper discussed the potential of this approach for policymaking, highlighting its value in complementing traditional impact assessment methodologies. [ABSTRACT FROM AUTHOR]

This study uses the China Health and Nutrition Survey data to investigate the relationship between infrastructure construction and health inequality, particularly by exploring a quasi-natural experiment, namely, high-speed rail (HSR) projects. We find that HSR accessibility improves the health of local residents with a coefficient of 0.298, which means that HSR operation will lead to a 2.30% increase in health. HSR accessibility also increases individual income, per capita household income, and the probability of purchasing medical insurance, thereby increasing the health level of individuals. Further analysis shows that HSR reduces the health gap across gender and urban–rural areas. Unfortunately, HSR also increases the health gap among different income groups. • This paper evaluates the health effects of high-speed rail (HSR). • HSR accessibility improves the health of local residents. • HSR accessibility have increased the health gap among different income groups. • HSR layout should be complementary with medical resources. [ABSTRACT FROM AUTHOR]

This paper analytically reviews the performance of massive multiple input multiple output (MIMO) system for communication in highly mobility scenarios like high speed Railways. As popularity of high speed train increasing day by day, high data rate wireless communication system for high speed train is extremely required. 5G wireless communication systems must be designed to meet the requirement of high speed broadband services at speed of around 500 km/h, which is the expected speed achievable by HSR systems, at a data rate of 180 Mbps or higher. Significant challenges of high mobility communications are fast time-varying fading, channel estimation errors, doppler diversity, carrier frequency offset, inter carrier interference, high penetration loss and fast and frequent handovers. Therefore, crucial requirement to design high mobility communication channel models or systems prevails. Recently, massive MIMO techniques have been proposed to significantly improve the performance of wireless networks for upcoming 5G technology. Massive MIMO provide high throughput and high energy efficiency in wireless communication channel. In this paper, key findings, challenges and requirements to provide high speed wireless communication onboard the high speed train is pointed out after thorough literature review. In last, future research scope to bridge the research gap by designing efficient channel model by using massive MIMO and other optimization method is mentioned. [ABSTRACT FROM AUTHOR]

Increasing the speed of transportation has been a subject that human beings have been working on for many years. Because of insufficient traffic corridors, the interest of more passenger in limited time and the advancement of railway technology, the high-speed ground transportation systems have developed. Nowadays, these time-saving transportation systems are becoming important increasingly and systems that will ensure these are implemented and new ones are being researched. High speed ground transportation systems can be divided into three categories: Conventional high-speed railway, Maglev and Hyperloop transportation system. Within the scope of this study, it is aimed to investigate the advantages and disadvantages aspects of high speed transportation systems by comparing in terms of speed, capacity, energy consumption, cost and environmental effects. Conventional high-speed railways can provide high capacity, comfort and safety and reliability thanks to enormous operational experience as regards other systems. The Maglev technology can offer more remarkable travel times, energy efficient and better operational performance. However, high investment cost and incompatibility with other modes are seen the disadvantage features of this technology. The Hyperloop technology is a considerable innovative transportation system which is popularized with publishing design document by Elon Musk in 2013. Projected high-speed and appealing travel times can be evaluated as the advantages of the Hyperloop transportation system. However, there are safety, reliability, comfort and engineering design challenges to overcome in this technology. Taking everything into consideration, the Hyperloop transportation system has potential to be an alternative mode to other systems. [ABSTRACT FROM AUTHOR]

Introduction: The COVID-19 emergency and the cities lockdown have had a strong impact on transport and mobility. In particular, travel demand has registered an unprecedented overall contraction, dramatically dropping down with peaks of - 90%-95% passengers for public transport (PT). During the re-opening phase, demand is gradually resuming the levels before the crisis, although some structural changes are observed in travel behaviour, and containment measures to reduce the risk of contagion are still being applied, affecting transport supply. Objective: This paper aims at assessing to what extent keeping a one-meter interpersonal distancing on-board trains is sustainable for public transport companies. Method: The analysis is based on travel demand forecasting models applied to two case-studies in Italy: a suburban railway line and a High-speed Rail (HSR) line, differentiated by demand characteristics (e.g. urban vs. ex-urban) and train access system (free access vs. reservation required). Results: In the suburban case, the results show the need of new urban policies, not only limited to the transport domain, in order to manage the demand peaks at the stations and on-board vehicles. In the ex-urban case, the outputs suggest the need for public subsidies in order for the railways undertakings to cope with revenue losses and, at the same time, to maintain service quality levels. [ABSTRACT FROM AUTHOR]

High-speed rail (HSR) has emerged as a significant mode for intercity transport in several countries, particularly China, setting an environment that may promote integration between air and HSR networks. To better measure the current level of integration of China's air-HSR intermodal network and identify implementation issues, this paper establishes a novel assessment framework that considers three primary areas: service capability, network connectivity and transfer potential. The framework is based on a comprehensive literature review of network measurement and assessment methodologies. Then, fractal theory is used to establish an assessment model that associates the fractal dimension to the level of intermodal integration, which can serve as an important complement to traditional weighting methods. The model and framework are applied to the 10 cities in China with the potential for air-HSR integration. The results show that international hub airports, together with their closest HSR station, do not necessarily perform at a higher integration level than regional hubs. The paper also proposes policy and practical recommendations to enhance air-HSR network integration levels from service supply, network coordination and transfer design perspectives. [ABSTRACT FROM AUTHOR]

Highlights • We study high-speed rail travelers' train choices for revenue management purposes using online booking data. • A new metric for quantifying a transport product's attractiveness is proposed incorporating booking lead time. • We apply two nonparametric machine learning methods requiring no utility maximization assumption. • Performances of SVR and ANN are comparable, and both methods clearly outperform the benchmark method. • Choice preferences of travelers in the Shanghai-Beijing rail market in China are revealed for the first time. Abstract This study explores two nonparametric machine learning methods, namely support vector regression (SVR) and artificial neural networks (ANN), for understanding and predicting high-speed rail (HSR) travelers' choices of ticket purchase timings, train types, and travel classes, using ticket sales data. In the train choice literature, discrete choice analysis is the predominant approach and many variants of logit models have been developed. Alternatively, emerging travel choice studies adopt non-utility-based methods, especially nonparametric machine learning methods including SVR and ANN, because (1) those methods do not rely on assumptions on the relations between choices and explanatory variables or any prior knowledge of the underlying relations; (2) they have superb capabilities of iteratively identifying patterns and extracting rules from data. This paper thus contributes to the HSR train choice literature by applying and comparing SVR and ANN with a real-world case study of the Shanghai-Beijing HSR market in China. A new normalized metric capturing both the load factor and the booking lead time is proposed as the target variable and several train service attributes, such as day of week, departure time, travel time, fare, are identified as input variables. Computational results demonstrate that both SVR and ANN can predict the train choice behavior with high accuracy, outperforming the linear regression approach. Potential applications of this study, such as rail pricing reform, have also been identified. [ABSTRACT FROM AUTHOR]

Highlights • We propose an effective way of managing reliever gateways when catastrophe occurs. • We deal with the case where the airports are connected by the high speed rail. • The fare restriction of HSR is needed to regain sufficient passenger flow. • The fare support is effective to regain the passenger flow using reliever gateways. Abstract On the basis of model analysis, this study proposes an effective method for managing reliever gateway airports when the main gateway airport is completely dysfunctional owing to a catastrophe. In particular, we deal with the case where the main and reliever airports are connected by high-speed rail (HSR), and we discuss a desirable and effective support policy for regaining passenger flow from/to the affected area. First, we analyze the market behavior under the usual condition as the base case by adopting the bi-level model, which is a supply-demand interaction model. Second, under the supposition of a catastrophe, we set up some scenarios of management policies, i.e. (i) no special policy and (ii) providing support to HSR passengers to induce them to the reliever gateways. Through such scenario analyses, we show that (i) HSR fare restriction is required to regain sufficient passenger flow and (ii) providing fare support to HSR passengers is an effective way to regain passenger flow using reliever gateways, which can contribute toward building a robust air transport network. [ABSTRACT FROM AUTHOR]

Abstract This paper quantifies the substitution and complementary effects of high-speed rail (HSR) on air travel demand in terms of both route traffic and airport enplanement. Employing the difference-in-differences (DID) method, the first part of the analysis measures the effect of new HSR routes on parallel air route traffic with a focus on East Asian regions (Mainland China, Japan, South Korea, and Taiwan). The second part examines the effect of air-HSR integration on passenger enplanement at East Asian airports and compares with that in the Central European market. We find that in general the airport's access cost (reflected by the distance from central city) has a negative impact on the air traffic. The substitution effects of HSR are the most significant on short- and medium-haul (below 1000 km) air routes while introducing HSR services has encouraged long distance (over 1000 km) air travels in Mainland China. The complementary effect is investigated in the context of air-HSR integration, which has significantly positive impacts on airport enplanement at primary hub airports when fitted with on-site HSR links. The benefit is limited at secondary hubs and regional airports possibly by locations and HSR service frequencies. [ABSTRACT FROM AUTHOR]

Based on the panel data of 280 prefecture-level cities in China from 2004 to 2019, this paper provides an empirical investigation of the mechanism and the impact of high-speed rails (HSRs) on urban economic resilience. The economic resilience evaluation has been constructed from three levels: risk resistance ability, organization and adjustment ability, as well as renewal and development ability. The difference-in-differences (DID) model and spatial difference-in-differences (SDID) model are adopted to analyze the impact of the HSR service intensity on the urban economic resilience. Results imply that the HSR has significantly improved the urban economic resilience along the lines. Further analysis shows that HSR mainly increases the economic resilience through potential effect of human resources, dynamic effect of new economic sectors and vitality effect of innovation output. From a spatial spillover perspective, HSR not only improves the local economic resilience, but also improves that of neighboring cities. The spatial spillover effect of HSR conforms to the law of geographic distance attenuation with spillover coefficient changes. Moreover, the study documents a series of heterogeneity analysis concerning HSR effects across Chinese cities. Particularly, HSRs promote the development of talents, new economic sectors, as well as innovation output, and help resource-based cities unlock their over-reliance on resource industries, thereby improving their economic resilience. This paper introduces the concept of urban economic resilience into the analysis framework of HSR effect, and measures the geographical boundary and effective scope of the HSR's spillover effect. It provides a new lens for the sustainable development of transportation-regional social economy. • The determinants of urban economic resilience were analyzed from the HSR effect perspective. • This study explored the influence mechanism of HSR services on urban economic resilience. • The presence of HSR stations and the HSR service intensity both have important effects on urban economic resilience. • The HSR spillover effect is further estimated with the change of geographical distance and its effective influence scope. [ABSTRACT FROM AUTHOR]

• A collision scene of high-speed train-moose collision was applied to the study. • A full finite element model of the moose was developed and validated. • Considering the impact on the pantograph after the obstacle was hit. • The collision force and trajectory of the moose after being hit were analyzed. Collisions between trains and moose that cross a track are common occurrences according to rail accident statistics. A moose lying on a track after a crash may increase the risk of train derailment. In addition, a moose thrown into the air during a collision may also hit and damage the pantograph, which prevents a train from running. This paper developed a finite element (FE) model of moose and is aimed at investigating the train crash safety and moose motion trajectory in train-moose collisions for different moose crossing scenarios using the FE method. Material biomechanics tests were conducted to obtain the mechanical property parameters of moose. Drop hammer impact tests were performed to validate the constitutive models of different moose segments. The whole moose FE model was verified against previous vehicle-moose crash tests. The numerical impact scenes of moose crossing the rail at different collision positions were established in LS-DYNA. The results showed that the impact force depends on the contact area between the train and the moose. A larger contact area corresponded to a larger impact force. The moose would be pushed away by the V-shaped locomotive and would not cause a derailment, and the height of the moose thrown into the air cannot reach the height of the pantograph, which would prevent damage to the pantograph of a bullet train. [ABSTRACT FROM AUTHOR]

Abstract The Hyperloop is a proposed new mode of transport in which passengers or freight would travel in pods through a vacuum tube at very high speeds, enough to cover a hypothetical route between San Francisco and Los Angeles’ metropolitan areas in just 35 minutes. Whereas the “time-space compression” brought by this new technology can have significant impacts in residents’ travel behaviour and household mobility, similar to those documented for high-speed rail, this paper investigates how the proposed California Hyperloop could expand airline passengers’ choice of airports for long-distance domestic trips. Using an established method to determine airport catchment areas based on flight frequencies, access times, and travel costs, we provide an exploratory analysis of how airport competition could change if a Hyperloop service was introduced. Our results clearly show that the California airport network will move towards a single airport system, with significant short-term leakage effects between major airports. These effects should be taken into consideration in the economic assessment of potential Hyperloop routes connecting major cities. Highlights • We explore the short-term impact of a Hyperloop service on airport competition. • We analysed airport catchment areas based on flight frequencies and travel costs. • A Hyperloop would move the Californian network towards a single airport system. • Significant short-term net passenger leakage from North to South California. • LAX, BUR, and OAK airports benefit, while SFO would lose the most passengers. [ABSTRACT FROM AUTHOR]

The development of high-speed rail (HSR) networks is leading to a very complex situation in terms of network configuration and the variety of services. This new panorama presents very different feasible connections between city-pairs, multiplying the possibilities of travelling. This paper evaluates the characteristics of all city-pairs served by HSR in Spain through a clustering analysis, with the goal of deriving an HSR city-pair link typology. This assessment offers a new perspective on the HSR network as a multi-role system encompassing eight types of links with very different characteristics. Identifying these types of HSR links will be a useful transport-planning tool for emerging HSR networks to anticipate the different kinds of links they will encompass and for future HSR cities to foresee the possibility of benefiting from one or another type of link and adapting their policies and strategies according to their potential services. [ABSTRACT FROM AUTHOR]

Abstract The rapid expansion of China's high-speed rail (HSR) networks presents an opportunity to make urban economies more consumer-oriented. Many commercial and business districts have been planned in the areas surrounding stations. This study examines and critiques the impacts of HSR on commercial land markets in Jiangsu: a pioneering province for HSR development in China. After considering various locational and contextual factors, this study focuses specifically on how HSR stations and the frequency of train services have affected the dynamics of commercial land markets, using a spatial panel approach. The results show that the opening of HSR services has significantly impacted trade volumes, while the frequency of train services has significantly affected trade prices. Further analysis shows variation in the impacts of HSR stations and train service frequency on commercial land markets between Jiangsu's developed south and less-developed central and northern sub-regions. The findings suggest that the study of HSR impacts is sensitive to the selected spatial scale. Moreover, HSR development may not result in the creation of dynamic commercial economies for every city. Consequently, locally based policies are needed to take advantage of the transport-induced opportunities. [ABSTRACT FROM AUTHOR]

Highlights • The large-scale transnational HSR construction evaluation problem in the B&R region is studied. • An index of comprehensive cooperation between China and other countries is proposed. • A method for calculating the weighted travel time of all road sections in the B&R region is proposed. • A method for predicting the comprehensive cooperation index of different countries is proposed. • Two indexes are proposed to depict the importance of port cities and road sections in the B&R region. Abstract This study deals with the large-scale transnational high-speed railway construction evaluation problem, which is a major issue in implementing the Belt and Road (B&R) initiative. We proposed a method for the selection of the most urgent need for transnational high-speed railway construction in the B&R region, which was tested on massive experimental data. The results show that 18 sections in the B&R region have priority conditions to build high-speed railways in current situations, which to a great extent coincide with those road sections covered by high-speed railway projects under construction or to be put into construction in the B&R region. [ABSTRACT FROM AUTHOR]

This study investigates, both theoretically and empirically, the effects of high-speed rail (HSR) speed on airline traffic and price, taking into account the degree of substitutability between the two services. Our model incorporates two countervailing effects of HSR speed, namely the “travel time” effect and the “safety” effect: while increasing HSR speed reduces HSR travel time, it may bring about a safety concern especially in emerging HSR markets such as China. Our theoretical analysis suggests that HSR speed impact on airline traffic and price depends on the relative dominance of the travel-time and safety effects, and air-HSR substitutability may reinforce the HSR speed effect. Furthermore, HSR speed has a larger impact on airline traffic than on airline price. Our empirical results from a rare natural experiment of HSR speed reduction in China show that HSR speed reduction raises both airline traffic and price, suggesting the dominance of travel-time effect. More importantly, consistent with the theoretical prediction, the HSR speed effect is empirically stronger on short-haul routes where the airline and HSR services are more substitutable. [ABSTRACT FROM AUTHOR]

Eco-driving is a traffic operation measure that may lead to important energy savings in high speed railway systems. Eco-driving optimization has been applied offline in the design of commercial services. However, the benefits of the efficient driving can also be applied on-line in the regulation stage to recover train delays or in general, to adapt the driving to the changing conditions in the line. In this paper the train regulation problem is stated as a dynamic multi-objective optimization model to take advantage in real time of accurate results provided by detailed train simulation. If the simulation model is realistic, the railway operator will be confident on the fulfillment of punctuality requirements. The aim of the optimization model is to find the Pareto front of the possible speed profiles and update it during the train travel. It continuously calculates a set of optimal speed profiles and, when necessary, one of them is used to substitute the nominal driving. The new speed profile is energy efficient under the changing conditions of the problem. The dynamic multi-objective optimization algorithms DNSGA-II and DMOPSO combined with a detailed simulation model are applied to solve this problem. The performance of the dynamic algorithms has been analyzed in a case study using real data from a Spanish high speed line. The results show that dynamic algorithms are faster tracking the Pareto front changes than their static versions. In addition, the chosen algorithms have been compared with the typical delay recovery strategy of drivers showing that DMOPSO provides 7.8% of energy savings. [ABSTRACT FROM AUTHOR]

This paper focuses on the low-cost configuration of the lateral active suspension system for the high-speed train. First, the full-scale railway vehicle dynamics with 17-degree-of-freedom are introduced, where the actuator saturation, suspension deflection, and random and periodic track irregularities are considered. Then, based on the internal model principle, some classic active vibration control methods, e.g., the PID, positive position feedback, repetitive, and resonant controls, are unified as an internal model (IM)-based form and an IM-based resonant control is further presented. After that, to suppress various vibrations, three principles are presented to set the damping ratio and natural frequency of the IM-based resonant controller according to the properties of the controlled plant and/or the external disturbances. In consequence, an active suspension with the IM-based resonant controller is designed to improve the ride quality of the high-speed train, where the H\infty method is used to calculate the unique gain. Moreover, the configuration of the active suspension is low cost and consists of two independent control systems, where one control system only has a pair of actuators and an accelerometer. Finally, the random and periodic track irregularities are employed to show the efficiency of the proposed resonant-control-based active suspension by comparing with the linear quadratic Gaussian (LQG) and H\infty controllers. [ABSTRACT FROM PUBLISHER]

Trains with different numbers of cars running in the open air were simulated using the delayed detached-eddy simulation (DDES). The numbers of cars included in the simulation are 3, 4, 5 and 8. The aim of this study was to investigate how train length influences the boundary layer, the wake flow, the surface pressure, the aerodynamic drag and the friction drag. To certify the accuracy of the mesh and methods, the drag coefficients from numerical simulation of trains with 3 cars were compared with those from the wind tunnel test, and agreement was obtained. The results show that the boundary layer is thicker and the wake vortices are less symmetric as the train length increases. As a result, train length greatly affects pressure. The upper surface pressure of the tail car reduced by 2.9%, the side surface pressure of the tail car reduced by 8.3% and the underneath surface pressure of the tail car reduced by 19.7% in trains that included 3 cars to those including 8 cars. In addition, train length also has a significant effect on the friction drag coefficient and the drag coefficient. The friction drag coefficient of each car in a configuration decreases along the length of the train. In a comparison between trains consisting of 3 cars to those consisting of 8 cars, the friction drag coefficient of the tail car reduced by 8.6% and the drag coefficient of the tail car reduced by 3.7%. [ABSTRACT FROM AUTHOR]