{"title":"基于SIRS模型的地铁突发事件乘客信息传播","authors":"Z. Hai-feng, Jiang Wei-jia","doi":"10.1109/ICMSE.2017.8574457","DOIUrl":null,"url":null,"abstract":"When the subway emergency occurs, the panic of passengers will extremely increase because of enclosed space of metro and the large population density, which may lead the spread of information faster and more complicated. The objective of this study is to investigate the process of passenger information dissemination under such circumstance. Based on the SIRS model and mean field theory, we develop a passenger information diffusion model. The model is modified to be suitable for passenger's habit that positive social reinforcement is considered. We simulate the rule of diffusion and analyze the trend of information variation by changing different parameters. The paper concluded with a discussion on some feasible advice on subway emergency management.","PeriodicalId":275033,"journal":{"name":"2017 International Conference on Management Science and Engineering (ICMSE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Passengers' Information Propagation in the Subway Emergency Based on SIRS Model\",\"authors\":\"Z. Hai-feng, Jiang Wei-jia\",\"doi\":\"10.1109/ICMSE.2017.8574457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When the subway emergency occurs, the panic of passengers will extremely increase because of enclosed space of metro and the large population density, which may lead the spread of information faster and more complicated. The objective of this study is to investigate the process of passenger information dissemination under such circumstance. Based on the SIRS model and mean field theory, we develop a passenger information diffusion model. The model is modified to be suitable for passenger's habit that positive social reinforcement is considered. We simulate the rule of diffusion and analyze the trend of information variation by changing different parameters. The paper concluded with a discussion on some feasible advice on subway emergency management.\",\"PeriodicalId\":275033,\"journal\":{\"name\":\"2017 International Conference on Management Science and Engineering (ICMSE)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Management Science and Engineering (ICMSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMSE.2017.8574457\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Management Science and Engineering (ICMSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMSE.2017.8574457","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Passengers' Information Propagation in the Subway Emergency Based on SIRS Model
When the subway emergency occurs, the panic of passengers will extremely increase because of enclosed space of metro and the large population density, which may lead the spread of information faster and more complicated. The objective of this study is to investigate the process of passenger information dissemination under such circumstance. Based on the SIRS model and mean field theory, we develop a passenger information diffusion model. The model is modified to be suitable for passenger's habit that positive social reinforcement is considered. We simulate the rule of diffusion and analyze the trend of information variation by changing different parameters. The paper concluded with a discussion on some feasible advice on subway emergency management.