Research on Emotional Infection of Passengers during the SRtP of a Cruise Ship by Combining an SIR Model and Machine Learning
The Safe Return to Port issue regarding cruise ships has been extensively researched, covering aspects such as performance, operations, and electrical systems. However, an often overlooked aspect is the potential eruption of negative emotions among passengers during SRtP. This study aims to investig...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/11/21/4461 |
| _version_ | 1797631688812003328 |
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| author | Gaohan Xiong Wei Cai Min Hu Zhiyan Yu |
| author_facet | Gaohan Xiong Wei Cai Min Hu Zhiyan Yu |
| author_sort | Gaohan Xiong |
| collection | DOAJ |
| description | The Safe Return to Port issue regarding cruise ships has been extensively researched, covering aspects such as performance, operations, and electrical systems. However, an often overlooked aspect is the potential eruption of negative emotions among passengers during SRtP. This study aims to investigate the prediction of collective emotions to facilitate timely safety planning and enhance the safety of the Safe Return to Port process. To achieve this objective, an improved susceptible-infectious-recovered model with bidirectional infection is proposed to describe the emotional contagion process during the Safe Return to Port process. This model classifies the population into five emotional (extremely anxious–anxious–normal–calm–very calm) states and introduces two sources of infection. Moreover, it allows for emotions to transition both positively and negatively, making it a more realistic representation of scenarios resembling long-term refuge scenarios. In this study, questionnaire data, collected and statistically analyzed, serve as the primary dataset. A machine learning technique (the weighted random forest algorithm) is integrated with the model to make predictions. The accuracy, precision, recall, and the F-measure of prediction results demonstrate good performance. Additionally, through simulation, this study illustrates the fluctuating nature of emotional changes during the Safe Return to Port process of the cruise ship and analyzes the effects of varying parameters. The findings suggest that the improved susceptible-infectious-recovered model proposed in this paper can provide valuable insights for cruise ship emergency planning and positively contribute to maintaining passenger emotional stability during the Safe Return to Port process. |
| first_indexed | 2024-03-11T11:25:50Z |
| format | Article |
| id | doaj.art-efc5c55f79c74cf182598c45acd56fdf |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-11T11:25:50Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-efc5c55f79c74cf182598c45acd56fdf2023-11-10T15:07:57ZengMDPI AGMathematics2227-73902023-10-011121446110.3390/math11214461Research on Emotional Infection of Passengers during the SRtP of a Cruise Ship by Combining an SIR Model and Machine LearningGaohan Xiong0Wei Cai1Min Hu2Zhiyan Yu3School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430063, ChinaGreen and Smart River-Sea-Going Ship, Cruise Ship and Yacht Research Center, Wuhan University of Technology, Wuhan 430063, ChinaGreen and Smart River-Sea-Going Ship, Cruise Ship and Yacht Research Center, Wuhan University of Technology, Wuhan 430063, ChinaSchool of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430063, ChinaThe Safe Return to Port issue regarding cruise ships has been extensively researched, covering aspects such as performance, operations, and electrical systems. However, an often overlooked aspect is the potential eruption of negative emotions among passengers during SRtP. This study aims to investigate the prediction of collective emotions to facilitate timely safety planning and enhance the safety of the Safe Return to Port process. To achieve this objective, an improved susceptible-infectious-recovered model with bidirectional infection is proposed to describe the emotional contagion process during the Safe Return to Port process. This model classifies the population into five emotional (extremely anxious–anxious–normal–calm–very calm) states and introduces two sources of infection. Moreover, it allows for emotions to transition both positively and negatively, making it a more realistic representation of scenarios resembling long-term refuge scenarios. In this study, questionnaire data, collected and statistically analyzed, serve as the primary dataset. A machine learning technique (the weighted random forest algorithm) is integrated with the model to make predictions. The accuracy, precision, recall, and the F-measure of prediction results demonstrate good performance. Additionally, through simulation, this study illustrates the fluctuating nature of emotional changes during the Safe Return to Port process of the cruise ship and analyzes the effects of varying parameters. The findings suggest that the improved susceptible-infectious-recovered model proposed in this paper can provide valuable insights for cruise ship emergency planning and positively contribute to maintaining passenger emotional stability during the Safe Return to Port process.https://www.mdpi.com/2227-7390/11/21/4461emotional contagionimproved susceptible-infectious-recovered modeltwo sources of infectionmachine learninglong-term refuge scenarios |
| spellingShingle | Gaohan Xiong Wei Cai Min Hu Zhiyan Yu Research on Emotional Infection of Passengers during the SRtP of a Cruise Ship by Combining an SIR Model and Machine Learning Mathematics emotional contagion improved susceptible-infectious-recovered model two sources of infection machine learning long-term refuge scenarios |
| title | Research on Emotional Infection of Passengers during the SRtP of a Cruise Ship by Combining an SIR Model and Machine Learning |
| title_full | Research on Emotional Infection of Passengers during the SRtP of a Cruise Ship by Combining an SIR Model and Machine Learning |
| title_fullStr | Research on Emotional Infection of Passengers during the SRtP of a Cruise Ship by Combining an SIR Model and Machine Learning |
| title_full_unstemmed | Research on Emotional Infection of Passengers during the SRtP of a Cruise Ship by Combining an SIR Model and Machine Learning |
| title_short | Research on Emotional Infection of Passengers during the SRtP of a Cruise Ship by Combining an SIR Model and Machine Learning |
| title_sort | research on emotional infection of passengers during the srtp of a cruise ship by combining an sir model and machine learning |
| topic | emotional contagion improved susceptible-infectious-recovered model two sources of infection machine learning long-term refuge scenarios |
| url | https://www.mdpi.com/2227-7390/11/21/4461 |
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