Ontario Ministry of Transportation

About: Ontario Ministry of Transportation is a government organization based out in Toronto, Ontario, Canada. It is known for research contribution in the topics: Poison control & Asphalt. The organization has 4652 authors who have published 3882 publications receiving 59011 citations.

Numerical computations of the nonlinear energy transfer of gravity-wave spectra in finite water depths

Abstract: A new computational scheme for calculating the nonlinear energy transfer in finite-depth gravity wave spectra has been developed by extending the methods established by Masuda (1980) and Komatsu et...

Safety of micro-mobility: Riders’ psychological factors and risky behaviors of cargo TTWs in China

Abstract: Cargo two- or three-wheeled vehicles (TTWs), as a new form of micro-mobility, have become a popular mode of urban cargo transportation in China. Cargo TTW riders’ psychological factors and risky behaviors lead to a number of accidents. A questionnaire is designed by comprehensively considering these factors and behaviors of cargo TTW riders that includes eleven risk factors to quantitatively analyze the risky behaviors based on structural equation modeling (SEM). One thousand three hundred nineteen participants reported using cargo TTWs on a questionnaire distributed across the country. The characteristics of riding behavior data are analyzed to verify the three-layer risk theoretical framework of “Psychological factors (Personality traits/specific factors) - Psychological acceptability of risks (confidence/perception/attitude) - Risky behaviors”. The results show that anger has a strong direct effect on riding violations, while normlessness and altruism have a direct effect on riding errors. Workload has a weak but direct effect on risky behaviors, and riding feedback has a weak and mixed effect. In addition, high-risk groups are identified by analysis of variance (ANOVA) with rider population attributes. These quantitative analyses can help guide safety countermeasures to mitigate accidents involving cargo TTWs.

Immuno-flow cytometric identification and enumeration of the ichthyotoxic dinoflagellate Gyrodinium aureolum Hulburt in artificially mixed algal populations

Abstract: Flow cytometric identification and enumeration of Gyrodinium aureolum Hulburt (Dinophyceae) were performed in artificially mixed algal populations using direct immunofluorescence. Calibration of the flow cytometer, performed with a mixed algal population spiked with immunofluorescently labelled G. aureolum cells, showed that selection of target cells after analysis on green and orange fluorescence can be done with a recovery of 91.8% [coefficient of variation (CV) = 0.09]. Other selection methods were less good, with 67.4% (CV = 0.16) and 58.4% (CV = 0.43) recovery based on green and red fluorescence or green fluorescence and perpendicular light scattering. For mixed algal populations spiked with unlabelled G. aureolum cells, the quantification of target cells was quite good (recovery of 76.7%; CV = 0.20). The percentage of total cell loss was high (58.0-92.0%), but this was caused mostly by loss of species smaller in size than G. aureolum. Estimates of the relative contribution of G. aureolum in labelled samples were therefore often far too high, but detection and quantification were not affected. The methodological underestimation (23.3%) was partly caused by gating on green and orange fluorescence (inaccuracy 8.2%).