Evaluation and Analysis of a Method to Real-Name Check Train Tickets during the COVID-19 Pandemic

COVID-19 has swept the world for more than one year. Public transport, especially railway passenger transport for long distance and extensive areas, is the most potential risk source of the pandemic. In railway passenger transport, real-name train ticket check can effectively track the propagation path of the pandemic, which is of most significance for spread prevention of COVID-19. In this study, the evaluation index system of real-name check of ticket in trains was first established, in which 22 indexes in 4 levels were included, and their weights were determined by the Method of Kantiray Weighting. Furthermore, a comprehensive evaluation model of real-name system check was proposed, in which normalized work of different indexes was done, and key factors affecting the evaluation were founded. Finally, typical data of 8 trains check were collected, and from the evaluation analysis, we can find out that most factors affecting results of real-name ticket check are attendant management, train organization level, train service, and real-name ticket check proportion, based on which corresponding countermeasures and suggestions are given oriented to short-, medium-, and long-distance trains, respectively, all of which can reduce the risk of pandemic propagation in railway system. [ABSTRACT FROM AUTHOR] Copyright of Discrete Dynamics in Nature & Society is the property of Hindawi Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)