Multivariate analysis of roadway multi-fatality crashes using association rules mining and rules graph structures: A case study in China.

Roadway multi-fatality crashes have always been a vital issue for traffic safety. This study aims to explore the contributory factors and interdependent characteristics of multi-fatality crashes using a novel framework combining association rules mining and rules graph structures. A case study is conducted using data from 1068 severe fatal crashes in China from 2015 to 2020, and 1452 interesting rules are generated using an association rule mining approach.

Review of Research on Road Traffic Operation Risk Prevention and Control.

Road traffic safety can be ensured by preventing and controlling the potential risks in road traffic operations. The relevant literature was systematically reviewed to identify the research context and status quo in the road traffic operation risk prevention and control field and identify the key study contents needing further research. As research material, the related English and Chinese literature published between 1996 and 2021 (as of 31st December 2021) was obtained through the Web of Science Core Collection and Chinese Science Citation Database.

The risk characteristics of heavy metals in urban soil of typical developed cities in China.

With the rapid development of China's industrial economy, heavy metals continue to accumulate in the environment, which has created serious threats for the ecological environment and human health. This study collected 50 surface soil samples in Nanjing, a typical developed city in China, and the contents of Al, Ca, Fe, Mg, Mn, Ni, Ti, Cd, Cr, Cu, Pb, and Zn in the samples were determined. Combined with the ecological risk index and the health risk assessment model, the risk of soil heavy metals in Nanjing was comprehensively evaluated.

Modelling carbon emissions of diesel trucks on longitudinal slope sections in China.

Carbon emissions are the primary reason that contributes to global warming. The gradient has a significant impact on the carbon dioxide (CO2) emissions produced by trucks. The aim of the current paper is to propose a carbon emission quantification model for diesel trucks on longitudinal slope sections and investigate the influence of gradient on the carbon emissions of trucks for use in the low-carbon highway design.

Selectivity control of nitrite and nitrate with the reaction of S and achieved nitrite accumulation in the sulfur autotrophic denitrification process.

The characteristics of reaction between S and NO-N or NO-N in the sulfur autotrophic denitrification (SADN) process were studied using S as an electron donor and NO-N and NO-N as electron acceptors. The effect of changes in pH and temperature on the processes of NO-N and NO-N reduction were also studied to identify the optimum control parameters for strengthening the preference of S on NO-N; thus, achieving the efficient accumulation of NO-N. The results showed that the affinity of S for NO-N was considerably higher than that for NO-N.