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.
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http://dx.doi.org/10.1007/s11356-022-23214-2 | DOI Listing |
Sci Rep
January 2025
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
Two-point contact is one of the fundamental problems of wheel-rail contact in switch area. The contact state and the distribution of forces are complex and essential points in wheel-rail relationship. Given the problem that the current dynamic wheel-rail contact state is challenging to detect, a theory to detect the two-point contact state of the wheel-rail in switch area using a discrete gauge column was presented and proved in the finite element model.
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China.
Accurately predicting the remaining useful life (RUL) of critical mechanical components is a central challenge in reliability engineering. Stochastic processes, which are capable of modeling uncertainties, are widely used in RUL prediction. However, conventional stochastic process models face two major limitations: (1) the reliance on strict assumptions during model formulation, restricting their applicability to a narrow range of degradation processes, and (2) the inability to account for potential variations in the degradation mechanism during modeling and prediction.
View Article and Find Full Text PDFSci Rep
January 2025
College of Engineering, Zhejiang Normal University, Jinhua, 321000, China.
The Walrus Optimization (WO) algorithm, as an emerging metaheuristic algorithm, has shown excellent performance in problem-solving, however it still faces issues such as slow convergence and susceptibility to getting trapped in local optima. To this end, the study proposes a novel WO enhanced by quasi-oppositional-based learning and chaotic local search mechanisms, called QOCWO. The study aims to prevent premature convergence to local optima and enhance the diversity of the population by integrating the quasi-oppositional-based learning mechanism into the original Walrus Optimization (WO) algorithm, thereby improving the global search capability and expanding the search range.
View Article and Find Full Text PDFHeliyon
July 2024
Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao.
Background: The link between the digital economy and prosperity is well established. However, the mechanism underlying the relationship between the digital economy and common prosperity is yet to be investigated.
Study Rationale And Purpose: The main purpose of this study is to address this mechanism by examining the extent to which the digital economy has optimized regional investments in protecting the environment, particularly the resilience of environmental investment, thus influencing common prosperity.
Sci Rep
January 2025
Institute of Transport Planning Research, China Railway Design Corporation, Tianjin, China.
Generally, to address the resource management issues in high-speed railway operations, particularly in the context of large-scale networked high-speed train transportation organizations, a phased optimization approach is introduced. This approach divides the problem into two stages: the high-speed train timetabling and the planning of Electric Multiple Unit (EMU) route. The lack of direct integration between these stages has hindered the flexible and efficient utilization of line capacity and EMU resources based on large-scale network, limiting the potential for mutual compensation and coordination among different types of resources across different regions.
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