The division of responsibility in vehicle-two-wheelers accidents reflects the extent to which different fault parties contributed to the occurrence of the accident, with significant differences in the injuries sustained by the riders in accidents where diverse parties were primarily responsible. We want to explore the difference in the severity of injury of riders in different fault parties of accidents so that we can make targeted protection improvements. In this study, three generalized ordered logit models were established for the total sample ( = 1204), the sample with drivers as the primary fault party ( = 607), and the sample with riders as the primary fault party ( = 597), respectively, to explore the differential impact factors on rider injury severity in vehicle-two-wheelers accidents involving different fault parties. Inter-group difference tests were conducted on the mean rider injury severity caused by differential factors in different accidents. Combining the impact effect trends and mean differences in the model, the differences in rider injury severity in accidents involving different fault parties were analyzed from the standpoints of human, vehicle, and road factors. It was found that the effects of curve on injury severity was sheerly opposite in accidents with different fault parties and that factors, such as visual obstruction, road surface condition, gender, and helmet wearing differed in their effects on rider injury severity under different fault parties accidents. This reveals the driving tendencies and states of both parties in different environments. Based on the differential impact factor analysis and rider injury characteristics in accidents involving different fault parties, suggestions for improvement were made from the perspectives of road facilities, and safety awareness of drivers and riders, which are beneficial for improving rider safety and providing a theoretical reference for future regulations on liability allocation.
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http://dx.doi.org/10.1080/15389588.2023.2255332 | DOI Listing |
ACS Omega
December 2024
School of Earth Sciences, East China University of Technology, Nanchang, Jiangxi Province 330013, China.
Accid Anal Prev
March 2025
Cho Chun Shik Graduate School of Mobility, Korea Advanced Institute of Science and Technology, 193 Munji-ro, Yuseong-gu, Daejeon 34051, Republic of Korea. Electronic address:
Accid Anal Prev
November 2024
Universitat de Barcelona, Av. Diagonal, 690, 08034, Barcelona, Spain. Electronic address:
Electric vehicles (EVs) differ significantly from their internal combustion engine (ICE) counterparts, with reduced mechanical parts, Lithium-ion batteries and differences in pedal and transmission control. These differences in vehicle operation, coupled with the proliferation of EVs on our roads, warrant an in-depth investigation into the divergent risk profiles and driving behaviour of EVs, Hybrids (HYB) and ICEs. In this unique study, we analyze a novel telematics dataset of 14,642 vehicles in the Netherlands accompanied by accident claims data.
View Article and Find Full Text PDFAbstractClinical ethicists are routinely consulted in cases that involve conflicts and uncertainties related to surrogate decision-making for incapacitated patients. To navigate these cases, we invoke a canonical ethical-legal hierarchy of decision-making standards: the patient's known wishes, substituted judgment, and best interest. Despite the routine application of this hierarchy, however, critical scholarly literature alleges that these standards fail to capture patients' preferences and surrogates' behaviors.
View Article and Find Full Text PDFSci Rep
August 2024
Centre for Biosecurity Research Analysis and Synthesis, Lincoln University, Lincoln, New Zealand.
When evidence-based policymaking is so often mired in disagreement and controversy, how can we know if the process is meeting its stated goals? We develop a novel mathematical model to study disagreements about adequate knowledge utilization, like those regarding wild horse culling, shark drumlines and facemask policies during pandemics. We find that, when stakeholders disagree, it is frequently impossible to tell whether any party is at fault. We demonstrate the need for a distinctive kind of transparency in evidence-based policymaking, which we call transparency of reasoning.
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