Dataset for the life-cycle assessment of the Basque Y high-speed rail line in Spain.

This dataset presents a detailed description of the data and information used in the life-cycle assessment (LCA) of the Basque Y HSR line, which is a high-performance line for mixed traffic still under construction in 2023 (190 km). The LCI data presented in this paper support the original research carried out on whether the construction of the Basque Y HSR line infrastructure is justified in terms of reducing environmental impacts and energy consumption [1]. Life-cycle inventory (LCI) data related to the construction and maintenance phases of the infrastructure was collected using Google Earth tool following the information from stakeholder AHT gelditu [2], including the length of each item (bridges, tunnels, earthworks, railway tracks); and complemented with data obtained from the LCA carried out by Tuchschmid et al. [3]. LCI data associated with the operation phase of the infrastructure was built on passenger data for the years 2020, 2030, 2040 and 2049 available in ADIF [4], and freight data for the period of 2023-2050 available in the report by ADIF and the Basque Government [5]. Environmental impacts for transport modes were obtained from the ecoinvent v3.7 database [6,7] and processed with openLCA software [8]. Life-cycle impact assessment (LCIA) results gathered in the dataset include Global Warming (GWP100a), Cumulative Energy Demand and total emissions for PM10, SO2, NOX and NMVOC. Access to the explanation of these data allows any reader to reproduce the calculations of the main project and may be used as a baseline for future studies on transport economics too.

Multi-defect risk assessment in high-speed rail subgrade infrastructure in China.

This study addresses the escalating risk of high-speed railway (HSR) infrastructure in China, amplified by climate warming, increased rainfall, frequent extreme weather, and geohazard events. Leveraging a georeferenced dataset of recent HSR defects obtained through an extensive literature review, we employ machine learning techniques for a quantitative multi-defect risk assessment. Climatic, geomorphological, geohydrological, and anthropogenic variables influencing HSR subgrade safety are identified and ranked. Climatic factors significantly impact frost damage and mud pumping, while geomorphological variables exhibit greater influence on settlement and uplift deformation defects. Notably, frost damage is prevalent in the northeast and northwest, mud pumping along the southeast coast, and settlement and uplift deformation in the northwest and central areas. The generated comprehensive risk map underscores high-risk zones, particularly the Menyuan Hui Autonomous and Minle County sections of the Lanzhou-Urumqi HSR, emphasizing the need for focused attention and preventive actions to mitigate potential losses and ensure operational continuity.

New evidence of high-speed rail promoting green economic growth in the Yangtze River Economic Belt: empirical analysis based on difference-in-differences.

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.

How does the opening of China's high-speed rail affect the spatial mismatch of haze pollution and economic growth?

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.

The impact of China's high-speed rail investment on regional economy and air pollution emissions.

The high-speed rail (HSR) network in China has experienced rapid development since the 2000s. In 2016, the State Council of the People's Republic of China issued a revised version of the "Mid- and Long-term Railway Network Plan", detailing the expansion of the railway network and construction of an HSR system. In the future, the HSR construction efforts in China will further increase, which is considered to impact regional development and air pollutant emissions. Therefore, in this paper, we apply a transportation network-multiregional computable general equilibrium (CGE) model to estimate the dynamic effects of HSR projects on economic growth, regional disparities, and air pollutant emissions in China. The results indicate that HSR system improvement could generate a positive economic impact but could also increase emissions. The gross domestic product (GDP) growth per unit investment cost stimulated by HSR investment is found to be the largest in eastern China but the smallest in the northwest regions. Conversely, HSR investment in Northwest China contributes to a substantial reduction in regional disparities in terms of the GDP per capita. In regard to air pollution emissions, HSR construction in South-Central China results in the largest increase in CO2 and NOX emissions, while for CO, SO2, and fine particulate matter (PM2.5) emissions, the largest increase occurs due to HSR construction in Northwest China. At the regional level, the provinces with large changes in accessibility also experience large changes in their air pollutant emissions.

High-speed rail and firms' environmental performance: empirical evidence from China.

Developing countries are struggling to balance the economic development and environment protection. This paper examines the impact of high-speed rail (HSR) on firm-level environmental performance in China. Using the staggered expansion of China's passenger-dedicated HSR and the panel data of Chinese manufacturing firm-level data from 2002 to 2012, we find that firms exhibit a lower level of chemical oxygen demand (COD) emissions after the opening of HSR. The average geographical slope of city is used as an instrumental variable to address the potential endogeneity problem of the HSR variable. Furthermore, the reduction effect of HSR introduction on firms' COD emission intensity is more pronounced for firms that located in eastern regions as well as technology-intensive and labor-intensive firms. Agglomeration economies, scale effects, and technological innovation are three plausible channels that allow HSR to promote firm environmental performance. Our paper provides new insights into the impacts of introduction of HSR on firm environmental performance and the development of green city.

High-speed rail and city's carbon productivity in China: a spatial difference-in-differences approach.

Improving carbon productivity is an important measure to promote low-carbon development. Since high-speed rail (HSR) has both economic and environmental effects, it is particularly important to clarify the relationship between HSR development and carbon productivity. In this paper, 285 cities in China from 2007 to 2017 are used as a research sample, and the relationship between the opening of HSR and the city's carbon productivity is studied using the spatial difference-in-difference method (SDID). The result shows that due to the intermediary effect of technological innovation and industrial structure, the opening of HSR significantly increases urban carbon productivity. At the same time, this influence has a significant positive spatial spillover effect. On average, when a city opens HSR, the local carbon productivity increases by 5.18%, and the carbon productivity of its neighboring cities increases by 13.52%. Overall, the positive effect of HSR on carbon productivity is more pronounced in the middle and western regions. However, the spatial spillover effect in the eastern region is significantly negative. These findings help to accurately assess the social benefits of HSR network expansion and provide important decision-making references for climate governance in the HSR era.

Operation of high-speed rail and reduction of corporate pollution: evidence from China.

As an environmentally friendly means of transport, the high-speed rail (HSR) is conducive to promoting corporate performance. An innovative approach extends the impact of HSR networks on pollution emissions from the regional level to the micro-enterprise level. Based on the quasi-natural experiment of the opening of HSR, a difference-in-difference model is used to investigate the impact of HSR on enterprise pollution emission levels and its action mechanism by using the matched data from the Chinese Enterprise Pollution Emission Database, the Chinese Industrial Enterprise Database, and the Chinese City Statistical Yearbook from 2000 to 2010. The results show that opening HSR significantly reduces the enterprises' pollution emission level, while reducing the number of polluting enterprises and transportation costs as well as improving the innovation capacity of enterprises are the corresponding action mechanisms. The impact of HSR on the enterprises' pollution emission varies with industry intensity, population size, and regional economic development level. The conclusions not only provide important insights to increase the ecological quality of China's environment through transportation infrastructure upgrades but also bring some guidance to more developing countries to improve their air environment.

Travel on the road: does China's high-speed rail promote local tourism?

Following a Chinese saying: To be rich, roads first, high-speed rail (HSR) opening and station construction are indispensable for economic developing. Probing the nexus between HSR, as a vital part of modern transportation system, and local tourism development provides a scan for reviving tourism and gaining low-carbon transition after COVID-19 pandemic. Drawing on prefecture-level panel data, this study takes difference-in-difference and instrument variable methods to detect the overall and heterogeneous effects of HSR connection on cities' tourism development. The results showed that HSR connection had an overall positive effect on cities' domestic tourist arrivals. The heterogeneity of the effect from HSR to tourism development appears to be that central and western cities, non-resource-based cities, and small cities benefited more from the opening of HSR. From a dynamic perspective, HSR connection promoted local tourism development in the 0 and 1 year of HSR opening but failed to show a positive effect in the long term. Hence, the study proposed some adjustments for evaluating the efficiency of HSR with consideration for the tourism effect, redesigning the system of HSR with consideration for local heterogeneity, and optimizing the HSR environment. These measures can optimize China's HSR management and the design of HSR systems.

The role of high-speed rail on green total factor productivity: evidence from Chinese cities.

Compared with other transportation facilities, high-speed rail (HSR) may be more beneficial to "green development." Based on a sample of 276 cities in China over 2005-2019, this study calculates the actual and change values of green total factor productivity (GTFP) with the stochastic frontier approach (SFA) and investigates the effect of HSR on GTFP using the time-varying difference-in-difference model and propensity score matching analysis. Our research results show a significantly positive effect of HSR on GTFP through reducing energy consumption and environmental pollution, as well as improving technological innovation. HSR-connected cities are found to have outperformed non-HSR-connected cities by 12.8% regarding GTFP in the sample period, and the effect is stronger for the eastern region and/or the central cities compared with the rest of the country. The research findings of this paper have important policy implications regarding China's HSR development and its impact on economic growth as well as the natural environment.

How to promote the development of a green economy: Talent or technology?-Evidence from China's high-speed rail.

The green economy is essential in supporting sustainable economic development and relies on talents and technologies. From the perspective of traditional economic theory, this study explores the impact of high-speed rail and innovation on the green economy from the perspectives of talent and technology. Using the data of 281 prefecture-level cities in China from 2008 to 2018, this study constructs empirical models to discuss the driving factors of the green economy. Empirical results show that high-speed rail and innovation can promote the development of a green economy, and the opening of high-speed rail can strengthen the positive association between innovation and a green economy. The accessibility of high-speed rail improves the flow of talent between different cities and greatly stimulates the positive impact of innovation on green economic activities. In the further test, this study explores the impact of high-speed rail and innovation on the green economy from different dimensions, including government policy, economic strength, and administrative level. During China's 12th Five-Year Plan, high-speed rail and innovation had a positive impact on the green economy, but the impact of innovation can still be significant after this period. Moreover, the opening of high-speed rail may motivate the migration of talents from developed cities to developing ones, while developed cities can rely on technological advantages to support green economic activities. Furthermore, low-administrative level cities will rely on attracting more talents to promote a green economy due to technological disadvantages. Innovation can play a critical role in enhancing the green economy of cities with high administrative levels. Talents and technology are both important to green economic activities, and the construction of high-speed rail changes the impact of technology on the green economy through the flow of talent. Our findings can explain why the opening of high-speed rail can promote the development of a green economy and effectively help governments achieve the goal of sustainable development.

Does high-speed rail improve China's urban environmental efficiency? Empirical evidence from a quasi-natural experiment.

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.

Does High-Speed Rail Opening Affect the Health Care Environment?-Evidence From China.

Using the panel data of 280 prefecture-level cities in China from 2004 to 2014, this paper examines the effects of high-speed rail opening on health care environment based on Difference-in-Differences method (DID). Through an empirical analysis, the results proved that high-speed rail opening can significantly promote the health care environment and this effect is different in regions with different levels of economic development. Finally, we tested the mechanisms of how the high-speed rail opening affects the healthcare environment. High-speed rail opening improves the healthcare environment by increasing road accessibility and promoting economic development. Our results support the view that high-speed rail opening has an important contribution to the improvement of health care conditions.

Impacts of high-speed rail on urban smog pollution in China: A spatial difference-in-difference approach.

Smog pollution poses a severe threat to residents' health and economic development in China. High-speed rail (HSR) is a new and efficient infrastructure that is expected to provide economic and environmental benefits. Based on the STIRPAT model and the environment Kuznets curve (EKC) hypothesis, this study employs a spatial difference-in-difference approach using 284 prefecture-level cities' panel data from 2007 to 2016 to explore the impacts of HSR on urban smog pollution. The results demonstrate that urban smog pollution shows strong spatial correlations and that HSR can significantly reduce smog pollution. Causal mediation analysis is used to test two mechanisms related to HSR: sector structure upgrading, which can reduce smog pollution, and real estate market development, which tends to increase smog pollution. After controlling for the two opposite mechanisms, HSR is proven to have positive environmental benefits. Besides HSR, the impacts of per capita GDP and population on smog pollution are further discussed. The relationship between per capita GDP and urban smog pollution follows an N-shaped curve, and smog is proved to reduce to a certain extent as per capita GDP increases. The relationship between population and smog pollution shows a U-shaped curve, provided with a new interpretation relating to economies of scale. The findings have implications for policy-making, as they enrich the EKC hypothesis and provide evidence for the environmental benefits of HSR.

Does China's high-speed rail development lead to regional disparities? A network perspective.

This research examines whether cities are getting more equally accessible and connected via high-speed rail (HSR) in China over the period from 2010 to 2015. Existing studies mainly use network centralities to describe the spatial pattern of HSR network without measuring the spatial disparity of these centralities, and most of them rely on the infrastructure network and thus fail to incorporate HSR service quality in the centrality measures. Using HSR timetable data, we incorporate both scheduled travel time and daily frequency of each origin-destination city pair into three centrality measures and further quantify their inequalities using Theil's T index. We find that as the HSR network expands, cities appear to be more equal in terms of accessibility, but their disparities in connectivity and transitivity depend on the dimensions of comparison. In general, although the difference between economic regions or between megalopolises has reduced, small/medium-sized cities not belonging to any major city cluster are further lagged behind in HSR development. The difference between core and non-core cities in the same megalopolises has decreased despite that non-core cities are increasingly relying on core cities to access other regions.

Risk Assessment of High-Speed Rail Projects: A Risk Coupling Model Based on System Dynamics.

Due to their characteristics and multiple objectives, high-speed rail (HSR) projects carry more complex risks than conventional projects and high correlation and conductivity are among the associated risk factors. Previous risk assessment frameworks for rail infrastructure have ignored the effects of risk interactions that inflate risk levels, namely, risk coupling effects. Based on a system dynamics method, this paper develops a risk coupling model for HSR project risk assessments. A risk factor list is established from a literature review, and relationships analysed using a case study and expert interviews. System dynamics equations are constructed and their parameters obtained by expert evaluations of risk factors. The proposed model is applied to a real-world HSR project to demonstrate it in detail. The model can evaluate the risk levels of HSR projects during a simulation period. In particular, it can identify the key coupling effects that are the main increased risk. It provides a significant resource, using which HSR project managers can identify and mitigate risks.

"Smart Process" of Medical Innovation: The Synergism Based on Network and Physical Space.

Medical innovation has a profound impact on public health, and it is always of social concern to encourage innovation and enhance the value in health care delivery. Based on a sample of China's listed firms in the medical industry from 2007 to 2018, this paper highlights the independent and mixed roles of informatization and high-speed rail in public medical innovation. The results show that informatization at network space and high-speed rail at physical space effectively promote the innovation of medical enterprises. In addition, "online" information technology and "offline" high-speed rail technology have a synergistic effect on medical innovation, especially in areas with a low level of innovation. The conclusion supports the positive significance of technology in the application of public health and proposes that the construction of smart society is very important to public health.

Identify the significant contributors of regional CO2 emissions in the context of the operation of high-speed railway-illustrated by the case of Hunan Province.

High-speed rail (HSR) is one of the essential innovations in the field of transportation in the latter half of the twentieth century. In China, the rapid development of HSR has received increasing attention and resulted in a boost of tourism, with significant impact on the development of cities that operates HSR. To accurately comprehend how will the operation of HSR influence the regional CO2 emissions, this paper applies the modified STIRPAT model, combining with real data on high-speed rail passenger flow volume of the Beijing-Guangzhou high-speed rail Hunan section. The results show that (1) the high-speed rail operation is also a significant impact factor for regional CO2 emissions. (2) Considering the operation of HSR, the ranking of contribution rate of driving factors for regional CO2 emissions is as follows: GDP per capita, energy consumption per unit of GDP, arrival volume of high-speed rail, originated volume of high-speed rail, the proportion of coal in the energy mix, proportion of the tertiary industry, and population. (3) Surprisingly, the numerical research result shows that the operation of HSR for the cities may promote regional CO2 emissions, while the increase in urban population and the optimization of energy structure have a reducing effect on regional carbon emissions. There is a transfer effect of the operation of HSR and region development, which results in the rising of regional CO2 emissions. Thus, it is urgent to research on the decoupling of economic growth from CO2 emissions. The findings could be conducive for the government and railway company to evaluate and administrate the operation of high-speed rail and adequately deal with the relationships between the high-speed railway and regional development.

Work-family conflict and safety participation of high-speed railway drivers: Job satisfaction as a mediator.

Despite the large body of work on the work-family interface, hardly any literature has addressed the work-family interface in safety-critical settings. This study draws from social exchange theory to examine the effect of employees' strain-based work-to-family conflict on their supervisors' rating of their safety participation through job satisfaction. The sample consisted of 494 drivers from a major railway company in China. The results of a structural equation model revealed that drivers' strain-based work-to-family conflict negatively influences safety participation, and the relationship was partially mediated by job satisfaction. These findings highlight the importance of reducing employees' work-to-family conflict in safety-critical organizations.