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Traditional transportation development has yielded significant economic and social benefits, but it has also led to increased pollution emissions and substantial environmental impacts. Transport has become a major source of carbon emissions in China. Against the backdrop of national goals for “carbon peak” and “carbon neutrality”, the development of smart transportation offers a fresh perspective on reducing carbon emission intensity. In this study, both provincial and enterprise-level data from China are used to examine the critical role of smart transportation in reducing carbon emission intensity from both macro and micro perspectives, and the dynamic threshold model is employed to validate the inverted U-shaped relationship between the energy structure and digital infrastructure in the carbon reduction process facilitated by smart transportation. In addition, in this mechanism, green innovation and the digital economy play pivotal roles. Multiple robustness tests confirmed the reliability of the empirical analysis. This study highlights the important role of smart transport in carbon intensity and provides valuable insights for developing countries aimed at transitioning toward environmentally friendly, low-carbon, intelligent and advanced transport.

The road-crossing of pedestrians at unsignalized crosswalks is a major concern for road safety. Previous studies focused on explaining of the mechanism underlying this behavior, but a framework of prediction is missing. To predict this behavior, only variables measured before the decision is made should be considered. To explore whether historical data is able to predict the behavior, this paper investigates pedestrians’ wait-or-go (WOG) behavior based on trajectory data and a machine learning method, both of which have been rarely applied by previous studies. The use of trajectory data enables the analysis of several influential factors related to moving characteristics, which are critical for pedestrians’ decision making. The framework based on machine learning, combined with trajectory data, achieves good explanatory power and predictability of pedestrians’ WOG behavior. Moreover, a possible application of this study is the prediction of pedestrian road-crossing intention in the context of autonomous cars.

The rapid development of economics requires highly efficient and environment-friendly urban transportation systems. Such requirement presents challenges in sustainable urban transportation. The analysis and understanding of transportation-related behaviors provide one approach to dealing with complicated transportation activities. In this study, the management of traffic systems is divided into four levels with a structural and systematic perspective. Then, several special cases from the perspective of behavior, including purchasing behaviors toward new energy vehicles, choice behaviors toward green travel, and behavioral reactions toward transportation demand management policies, are investigated. Several management suggestions are proposed for transportation authorities to improve sustainable traffic management.

Gas valves are very important parts in compressors. If a valve fault in a compressor takes place, the expulsion of the compressor will decrease. In some critical cases, abnormal gas transmission will lead to a serious accident. This article proposes a method of fixed time basis in multi-resolution analysis and wavelet transform. This method can thoroughly resolve the problems occurred in present valve fault diagnosis caused by the fact that the wavelet transform does not have time shift invariance. By the analysis of experimental data, it shows that the valve fault can be preferably and accurately detected by using the method.

There are 6 samples of soybean paste which collected from market will be investigated. The results show that the total counts of lactic acid bacteria in the soybean paste samples was average 105-107cfu·g-1, but the total counts of molds and yeasts in some samples was just 103 cfu·g-1. And the total counts of bacillus in samples was over 105 cfu·g-1 .Compared with nature fermented soybean paste, the counts of molds and yeasts was down. The results indicate that the microbiological compositions of the soybean paste samples maybe changed. There were less total contents of flavonoids in the soybean paste, only up to 1.26 mg/g.

By measuring pH, acidity, mass concentration of free amino nitrogen and viable count of lactic acid bacteria from yogurt under refrigerated conditions, to study changes in the indicators of yogurt during the shelf. The results showed that during the yogurt shelf life, pH decreased, acidity increased, viable count of Lactobacillus was on the decline, nitrogen concentration of free amino acid increased less in the beginning of the refrigeration, but the indicators were still in line with national standards.

The quasi-zero-stiffness vibration isolation system has witnessed significant development due to the pressing demands for low frequency and ultra-low frequency vibration isolation. In this study, the isolation theory and the characteristic of the quasi-zero-stiffness vibration isolation system are illustrated. Based on its implementation mechanics, a comprehensive assessment of recent advances of the quasi-zero-stiffness vibration isolation system is presented. The future research directions are finally prospected.

To reduce average particle size，magnesium fluoride was directly synthesized from MgF2 and NH4F，the product was characterized by X-ray diffractomer，scanning electron microscopy. Orthogonal experiment was used to explore the influences of factors on the average particle size. Found that the effect order of factors on the average particle size is MgCl2 concentration，NH4F concentration，reaction temperature，reaction time，in the optimization of process conditions，average particle size is 23.1 nm.