Abstract
Since time immemorial, India has hosted numerous religious gatherings and periodic events. Many of these events have been marred by crowd crushes and accidents. Human behavior being a complex phenomenon, can lead to complex behaviors. This makes the safety of people in crowded places a major concern for the government and management authorities. Capturing and studying these behaviors through empirical studies is essential to predicting crowd risk at a given location. To predict the level of risk, a comprehensive crowd risk prediction model in the form of Crowd Risk Index (CRI) was developed in this study. The CRI was developed from three indices (1) Crowd Dynamic Index (includes speed, flow, density, social group, and serpentine group behavior) (2) Crowd Anxiety Index (includes patience and aggression scores) (3) Temperature Humidity Index (includes temperature and humidity). With an overarching understanding of the factors leading to critical crowd conditions, the CRI developed in this work can help the crowd managers reasonably predict the level of risk and implement appropriate crowd management measures.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
