Bayesian network model of crowd emotion and negative behavior

The effects of overcrowding have become a major concern for event organizers. One aspect of this concern has been the idea that overcrowding can enhance the occurrence of serious incidents during events. As one of the largest Muslim religious gathering attended by pilgrims from all over the world, H...

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Main Authors:	Ramli, Nurulhuda, Abdul Ghani, Noraida, Ahmad Hatta, Zulkarnain, Mohd Hashim, Intan Hashimah, Sulong, Jasni, Mohd Mahudin, Nor Diana, Abdul Rahman, Shukran, Mat Saad, Zarina
Format:	Conference or Workshop Item
Language:	English English
Published:	American Institute of Physics 2014
Subjects:	BF176 Psychological tests and testing BF636 Applied psychology HA Statistics
Online Access:	http://irep.iium.edu.my/40009/ http://irep.iium.edu.my/40009/ http://irep.iium.edu.my/40009/ http://irep.iium.edu.my/40009/1/Ramli_et_al_2014.pdf http://irep.iium.edu.my/40009/4/Letter_of_Acceptance_ICOQSIA_2014.pdf

id	iium-40009
recordtype	eprints
spelling	iium-400092017-11-22T01:24:07Z http://irep.iium.edu.my/40009/ Bayesian network model of crowd emotion and negative behavior Ramli, Nurulhuda Abdul Ghani, Noraida Ahmad Hatta, Zulkarnain Mohd Hashim, Intan Hashimah Sulong, Jasni Mohd Mahudin, Nor Diana Abdul Rahman, Shukran Mat Saad, Zarina BF176 Psychological tests and testing BF636 Applied psychology HA Statistics The effects of overcrowding have become a major concern for event organizers. One aspect of this concern has been the idea that overcrowding can enhance the occurrence of serious incidents during events. As one of the largest Muslim religious gathering attended by pilgrims from all over the world, Hajj has become extremely overcrowded with many incidents being reported. The purpose of this study is to analyze the nature of human emotion and negative behavior resulting from overcrowding during Hajj events from data gathered in Malaysian Hajj Experience Survey in 2013. The sample comprised of 147 Malaysian pilgrims (70 males and 77 females). Utilizing a probabilistic model called Bayesian network, this paper models the dependence structure between different emotions and negative behaviors of pilgrims in the crowd. The model included the following variables of emotion: negative, negative comfortable, positive, positive comfortable and positive spiritual and variables of negative behaviors; aggressive and hazardous acts. The study demonstrated that emotions of negative, negative comfortable, positive spiritual and positive emotion have a direct influence on aggressive behavior whereas emotion of negative comfortable, positive spiritual and positive have a direct influence on hazardous acts behavior. The sensitivity analysis showed that a low level of negative and negative comfortable emotions leads to a lower level of aggressive and hazardous behavior. Findings of the study can be further improved to identify the exact cause and risk factors of crowd-related incidents in preventing crowd disasters during the mass gathering events. American Institute of Physics 2014 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/40009/1/Ramli_et_al_2014.pdf application/pdf en http://irep.iium.edu.my/40009/4/Letter_of_Acceptance_ICOQSIA_2014.pdf Ramli, Nurulhuda and Abdul Ghani, Noraida and Ahmad Hatta, Zulkarnain and Mohd Hashim, Intan Hashimah and Sulong, Jasni and Mohd Mahudin, Nor Diana and Abdul Rahman, Shukran and Mat Saad, Zarina (2014) Bayesian network model of crowd emotion and negative behavior. In: 3rd International Conference on Quantitative Sciences and Its Applications: Fostering Innovation, Streamlining Development, ICOQSIA 2014, 12-14 Aug 2014, Langkawi, Kedah. http://scitation.aip.org/content/aip/proceeding/aipcp/10.1063/1.4903685 http://dx.doi.org/10.1063/1.4903685
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	BF176 Psychological tests and testing BF636 Applied psychology HA Statistics
spellingShingle	BF176 Psychological tests and testing BF636 Applied psychology HA Statistics Ramli, Nurulhuda Abdul Ghani, Noraida Ahmad Hatta, Zulkarnain Mohd Hashim, Intan Hashimah Sulong, Jasni Mohd Mahudin, Nor Diana Abdul Rahman, Shukran Mat Saad, Zarina Bayesian network model of crowd emotion and negative behavior
description	The effects of overcrowding have become a major concern for event organizers. One aspect of this concern has been the idea that overcrowding can enhance the occurrence of serious incidents during events. As one of the largest Muslim religious gathering attended by pilgrims from all over the world, Hajj has become extremely overcrowded with many incidents being reported. The purpose of this study is to analyze the nature of human emotion and negative behavior resulting from overcrowding during Hajj events from data gathered in Malaysian Hajj Experience Survey in 2013. The sample comprised of 147 Malaysian pilgrims (70 males and 77 females). Utilizing a probabilistic model called Bayesian network, this paper models the dependence structure between different emotions and negative behaviors of pilgrims in the crowd. The model included the following variables of emotion: negative, negative comfortable, positive, positive comfortable and positive spiritual and variables of negative behaviors; aggressive and hazardous acts. The study demonstrated that emotions of negative, negative comfortable, positive spiritual and positive emotion have a direct influence on aggressive behavior whereas emotion of negative comfortable, positive spiritual and positive have a direct influence on hazardous acts behavior. The sensitivity analysis showed that a low level of negative and negative comfortable emotions leads to a lower level of aggressive and hazardous behavior. Findings of the study can be further improved to identify the exact cause and risk factors of crowd-related incidents in preventing crowd disasters during the mass gathering events.
format	Conference or Workshop Item
author	Ramli, Nurulhuda Abdul Ghani, Noraida Ahmad Hatta, Zulkarnain Mohd Hashim, Intan Hashimah Sulong, Jasni Mohd Mahudin, Nor Diana Abdul Rahman, Shukran Mat Saad, Zarina
author_facet	Ramli, Nurulhuda Abdul Ghani, Noraida Ahmad Hatta, Zulkarnain Mohd Hashim, Intan Hashimah Sulong, Jasni Mohd Mahudin, Nor Diana Abdul Rahman, Shukran Mat Saad, Zarina
author_sort	Ramli, Nurulhuda
title	Bayesian network model of crowd emotion and negative behavior
title_short	Bayesian network model of crowd emotion and negative behavior
title_full	Bayesian network model of crowd emotion and negative behavior
title_fullStr	Bayesian network model of crowd emotion and negative behavior
title_full_unstemmed	Bayesian network model of crowd emotion and negative behavior
title_sort	bayesian network model of crowd emotion and negative behavior
publisher	American Institute of Physics
publishDate	2014
url	http://irep.iium.edu.my/40009/ http://irep.iium.edu.my/40009/ http://irep.iium.edu.my/40009/ http://irep.iium.edu.my/40009/1/Ramli_et_al_2014.pdf http://irep.iium.edu.my/40009/4/Letter_of_Acceptance_ICOQSIA_2014.pdf
first_indexed	2023-09-18T20:57:25Z
last_indexed	2023-09-18T20:57:25Z
_version_	1777410397656055808

Bayesian network model of crowd emotion and negative behavior

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