Research Data from Beijing University of Technology Update Understanding of Risk Management (Evaluating the effectiveness of new-designed crosswalk markings at intersections in China considering vehicle-pedestrian interaction) - Insurance News | InsuranceNewsNet

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March 26, 2020 Newswires
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Research Data from Beijing University of Technology Update Understanding of Risk Management (Evaluating the effectiveness of new-designed crosswalk markings at intersections in China considering vehicle-pedestrian interaction)

Insurance Daily News

2020 MAR 26 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- A new study on Risk Management is now available. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Crosswalk markings are a type of facility installed at the vehicle-pedestrian interaction locations and the function is to warn drivers to watch out for pedestrians crossing the street and improve safety for pedestrians. In Beijing, a type of new-designed crosswalk markings in China (NCMC) was installed.”

Financial support for this research came from International Science & Technology Cooperation Program of China.

The news correspondents obtained a quote from the research from the Beijing University of Technology, “However, evaluating the effectiveness of this type of crosswalk markings was not conducted. Accordingly, the objective of this paper is to evaluate the effectiveness of this type of new-designed crosswalk markings. During the evaluation process, the vehicle-pedestrian interaction was considered; standard crosswalk markings in China (SCMC) were taken as a control group. In addition, empirical data were collected from a driving simulator, and nine evaluating indicators representing vehicle operating data, drivers’ maneuvering data and drivers’ subjective evaluation were proposed. In order to combine nine indicators, a Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method was used in this study to achieve the premium degrees of these two types of crosswalk markings. The evaluation result showed that, for intersections with high or low pedestrian flow, the comprehensive effectiveness and influences on drivers’ driving behaviors with presence of NCMC were better than those with presence of SCMC, no matter where vehicle-pedestrian interactions occurred. For intersections with no pedestrians, the comprehensive effectiveness and influences on drivers’ driving behaviors with presence of NCMC were worse than those with presence of SCMC, no matter where vehicle-pedestrian interaction occurred.”

According to the news reporters, the research concluded: “These results may provide references for facility installing and future development of standards.”

For more information on this research see: Evaluating the effectiveness of new-designed crosswalk markings at intersections in China considering vehicle-pedestrian interaction. Accident Analysis & Prevention, 2020;139():105498. Accident Analysis & Prevention can be contacted at: Pergamon-Elsevier Science LTD, the Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Accident Analysis & Prevention - http://www.journals.elsevier.com/accident-analysis-and-prevention/)

Our news journalists report that additional information may be obtained by contacting Y. Bian, Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, People’s Republic of China. Additional authors for this research include K. Liang, X. Zhao, H. Li and L. Yang.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.aap.2020.105498. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

Publisher contact information for the journal Accident Analysis & Prevention is: Pergamon-Elsevier Science LTD, the Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England.

(Our reports deliver fact-based news of research and discoveries from around the world.)

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