Publications by authors named "Linyang Wang"

3 Publications

  • Page 1 of 1

Exploring the Relationship between Attitudes, Risk Perceptions, Fatalistic Beliefs, and Pedestrian Behaviors in China.

Int J Environ Res Public Health 2021 03 24;18(7). Epub 2021 Mar 24.

Human Factors Engineering, Transportation Research Group, University of Southampton, Southampton SO16 7QF, UK.

Road safety has become a worldwide public health concern. Although many factors contribute to collisions, pedestrian behaviors can strongly influence road safety outcomes. This paper presents results of a survey investigating the effects of age, gender, attitudes towards road safety, fatalistic beliefs and risk perceptions on self-reported pedestrian behaviors in a Chinese example. The study was carried out on 543 participants (229 men and 314 women) from 20 provinces across China. Pedestrian behaviors were assessed by four factors: errors, violations, aggressions, and lapses. Younger people reported performing riskier pedestrian behaviors compared to older people. Gender was not an influential factor. Of the factors explored, attitudes towards road safety explained the most amount of variance in self-reported behaviors. Significant additional variance in risky pedestrian behaviors was explained by the addition of fatalistic beliefs. The differences among the effects, and the implications for road safety intervention design, are discussed. In particular, traffic managers can provide road safety education and related training activities to influence pedestrian behaviors positively.
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March 2021

Recovery preparedness of global air transport influenced by COVID-19 pandemic: Policy intervention analysis.

Transp Policy (Oxf) 2021 Jun 26;106:54-63. Epub 2021 Mar 26.

Institute for Transport Planning and Systems, ETH Zürich, Zürich, 8093, Switzerland.

The outbreak of COVID-19 constitutes an unprecedented disruption globally, in which risk management framework is on top priority in many countries. Travel restriction and home/office quarantine are some frequently utilized non-pharmaceutical interventions, which bring the worst crisis of airline industry compared with other transport modes. Therefore, the post-recovery of global air transport is extremely important, which is full of uncertainty but rare to be studied. The explicit/implicit interacted factors generate difficulties in drawing insights into the complicated relationship and policy intervention assessment. In this paper, a Causal Bayesian Network (CBN) is utilized for the modelling of the post-recovery behaviour, in which parameters are synthesized from expert knowledge, open-source information and interviews from travellers. The tendency of public policy in reaction to COVID-19 is analyzed, whilst sensitivity analysis and forward/backward belief propagation analysis are conducted. Results show the feasibility and scalability of this model. On condition that no effective health intervention method (vaccine, medicine) will be available soon, it is predicted that nearly 120 days from May 22, 2020, would be spent for the number of commercial flights to recover back to 58.52%-60.39% on different interventions. This intervention analysis framework is of high potential in the decision making of recovery preparedness and risk management for building the new normal of global air transport.
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June 2021

Effects of baicalin on inflammatory reaction, oxidative stress and PKDl and NF-kB protein expressions in rats with severe acute pancreatitis1.

Acta Cir Bras 2018 Jul;33(7):556-564

MS, Department of General Surgery, The Children's Hospital, School of Medicine, Zhejiang University, Hangzhou, China. Design of the study, acquisition of data, statistical analysis, critical revision, final approved.

Purpose: To investigate the effects of baicalin on inflammatory reaction, oxidative stress and protein kinase D1 (PKD1) and nuclear factor-kappa B (NF-κB) protein expressions in severe acute pancreatitis (SAP) rats.

Methods: Sixty rats were divided into sham operation, model, and low-, medium- and high-dose baicalin group. SAP model was established in later 4 groups. The later 3 groups were injected with 0.1, 0.2 and 0.4 ml/100 g 5% baicalin injection, respectively. At 12 h, the serum SAP related indexes and inflammatory factors, peripheral blood CD3 and γδT cell percentages, wet/dry ratio and pancreas ascites volume, oxidative stress indexes and PKD1 and NF-κB protein expressions in pancreatic tissue were determined.

Results: Compared with model group, in high-dose baicalin group the wet/dry ratio and ascites volume, serum amylase level, phospholipase A2 activity, TNF-α, IL-1 and IL-6 levels, and pancreatic malondialdehyde level and PKD1 and NF-κB protein expression were significantly decreased (P < 0.05), and peripheral blood CD3 and γδT cell percentages and pancreatic superoxide dismutase and glutathione peroxidase levels were significantly increased (P < 0.05).

Conclusion: Baicalin can resist the inflammatory reaction and oxidative stress, and down-regulate protein kinase D1 and nuclear factor-kappa B protein expressions, thus exerting the protective effects on severe acute pancreatitis in rats.
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July 2018