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Influences of Mixed Traffic Flow and Time Pressure on Mistake-Prone Driving Behaviors among Bus Drivers

Journal of Transportation Technologies 2023年第3期13卷 389-410页

作者： Vu Van-Huy Hisashi Kubota Graduate School of Science & Engineering Saitama University Saitama Japan

Bus safety is a matter of great importance in many developing countries, with driving behaviors among bus drivers identified as a primary factor contributing to accidents. This concern is particularly amplified in mixed traffic flow (MTF) environments with time pressure (TP). However, there is a lack of sufficient research exploring the relationships among these factors. This study consists of two papers that aim to investigate the impact of MTF environments with TP on the driving behaviors of bus drivers. While the first paper focuses on violated driving behaviors, this particular paper delves into mistake-prone driving behaviors (MDB). To collect data on MDB, as well as perceptions of MTF and TP, a questionnaire survey was implemented among bus drivers. factor analyses were employed to create new measurements for validating MDB in MTF environments. The study utilized partial correlation and linear regression analyses with the Bayesian Model Averaging (BMA) method to explore the relationships between MDB and MTF/TP. The results revealed a modified scale for MDB. Two MTF factors and two TP factors were found to be significantly associated with MDB. A high presence of motorcycles and dangerous interactions among vehicles were not found to be associated with MDB among bus drivers. However, bus drivers who perceived motorcyclists as aggressive, considered road users’ traffic habits as unsafe, and perceived bus routes’ punctuality and organization as very strict were more likely to exhibit MDB. Moreover, the results from the three MDB predictive models demonstrated a positive impact of bus route organization on MDB among bus drivers. The study also examined various relationships between the socio-demographic characteristics of bus drivers and MDB. These findings are of practical significance in developing interventions aimed at reducing MDB among bus drivers operating in MTF environments with TP.

关键词： Bus Safety Mistake-Prone Driving Behavior Mixed Traffic Time Pressure factor analyses Bayesian Model Averaging

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Evaluation of geochemical behavior and heavy metal distribution of sediments:The case study of the Tirumalairajan river estuary,southeast coast of India

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International Journal of Sediment Research 2015年第1期30卷 28-38页

作者： Senapathi VENKATRAMANAN Sang-yong CHUNG Thirunavukkarasu RAMKUMAR Gopalakrishnan GNANACHANDRASAMY Tae Hyung KIM Department of Earth & Environmental Sciences Institute of Environmental GeosciencesPukyong National University Department of Earth Sciences Annamalai University K-Water Institute Korea Water Resources Corporation

The purpose of this study was to assess the chemical partitioning of selected heavy metals(Fe,Mn,Cu,Zn,Pb,Cr,Co and Ni) in 10 surface sediments at Tirumalairajan River Estuary in the southeastern coast of India.A five-step sequential extraction technique was used to assess the environmental status of heavy *** of metals were considered to be immobile due to the high availability in the residual fraction of heavy *** sediments of Tirumalairajan River estuary had not been polluted by heavy metals,and they didn’t pose any high ecological *** seasonal variations of heavy metals were slightly higher in summer than in monsoon *** analysis was also carned out to understand the associations of metals in different fractions with sand,silt,clay,organic matter,pH,salinity and other *** relationship between the Q-mode and R-mode cluster analyses was useful for identifying the pollution levels in both *** was proved that the enrichment of heavy metals was related with geogenic and anthropogenic *** information on total metal concentrations in sediments was not sufficient for assessing the metal behavior in the environment,but the sequential extraction technique was more effective in estimating the environmental impact of contaminated sediments.

关键词： Five-step sequential extraction factor analyses Q-mode and R-mode cluster analysis Heavy metals Tiurmalairajan estuary

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