AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (642.9 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Case Study | Open Access

Statistical analysis of the crowd dynamics in Al-Masjid Al-Nabawi in the city of Medina, Saudi Arabia

Hassan M. Al-Ahmadi1( )Wael S. Alhalabi2Rezqallah Hasan Malkawi1Imran Reza1
Department of Civil and Environmental Engineering, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
Department of Islamic Architecture, Umm al-Qura University, Makkah, Saudi Arabia
Show Author Information

Abstract

Purpose

The purpose of this study is to analyze the crowd dynamics of the visitors at Al-Masjid al-Nabawi during the most oversaturated period to characterize the most critical conditions and suggest technical solutions to accommodate visitors and provide them safe passage.

Design/methodology/approach

In this study, the time of entrance from the Al-Salam Gate to the tomb and from the tomb to the exit from the Al-Baqi’ Gate has been collected in the most oversaturated period. To be precise and to model the worst case, important crowd measures of effectiveness data are collected in the two holiest times considered by Muslims, during the holy month of Ramadan and the month of Dhul-Hijjah and during the busiest hours of the day to consider safety factors while proposing future solutions. The conventional manual head-counting method has been adopted to determine the crowd density and to carry out actual counting of the visitors from the recorded videos and photos captured by the legitimate authority.

Findings

The analyses revealed that the crowd dynamics in the month of Ramadan (peak) are statistically different from those for other times (off peak). In general, the crowd dynamics at all times on days other than Ramadan are almost identical.

Originality/value

The results of crowd characterization from this study are expected to help optimize crowd management in the Masjid at the most critical location and time. The data collected in this study could be used for future research to simulate similar crowd scenes or for even different crowd management scenarios in case of emergencies such as fire hazards or evacuation process.

References

 
Al-Habaibeh, A., Othman, F., Whitby, D.R. and Parkin, R.M. (2006), “The development and evaluation of an automated experimental system for counting pedestrian and estimating peoples density using infrared and visual cameras supported by suitable sensory system”,A Report Submitted to the CTHM Institute for Hajj Research, Um-Al Qura University, Makkah.
 
Alshehri, A., Muhammad, A., Alkhemi, M.M. and Felemban, E. (2015), “Analysis of crowd movement in the prophet (SAW) Mosque in the city of Madinah, Saudi Arabia”, Third International Conference on Advances in Computing, Electronics and Electrical Technology, pp. 151-160.https://doi.org/10.15224/978-1-63248-056-9-90
 

Seyfried, A., Steffen, B., Klingsch, W. and Boltes, M. (2005), “The fundamental diagram of pedestrian movement revisited”, Journal of Statistical Mechanics: Theory and Experiment, Vol. 2005 No. 10, p. 10002.

 

Haron, F., Alginahi, Y.M., Kabir, M.N. and Mohamed, A.I. (2012), “Software evaluation for crowd evacuation – case study: Al-masjid an-Nabawi”, International Journal of Computer Science Issues, Vol. 9 Nos 6/2, pp. 128-134.

 
Fell, A. (2003), Study of Modeling Crowd Dynamics, Carleton University, Ottawa.
 

Kırlangıçoğlu, C. (2015), “Modeling passenger flows in public transport stations”, Journal of Human Sciences, Vol. 12 No. 1, pp. 1485-1501.

 

Lam, W.H. and Cheung, C.Y. (2000), “Pedestrian speed/flow relationships for walking facilities in Hong Kong”, Journal of Transportation Engineering, Vol. 126 No. 4, pp. 343-349.

 

Moussaïd, M., Helbing, D. and Theraulaz, G. (2011), “How simple rules determine pedestrian behavior and crowd disasters”, Proceedings of the National Academy of Sciences, Vol. 108 No. 17, pp. 6884-6888.

 
Koshak, N. and Fouda, A. (2008), “Analyzing pedestrian movement in Mataf using GPS and GIS to support space redesign”, The 9th International Conference on Design and Decision Support Systems in Architecture and Urban Planning.
 
RACI (2016), Summary Report of Census of Visitors to AL-Madianh Al-Munawwarh for the Hajj Period, Research and Consultation Institute, King Abdul Aziz University, KSA.
 
Still, G.K. (2000), “Crowd dynamics”, PhD thesis, University of Warwick.
 
TSO (2010), Understanding Crowd Behaviors: Supporting Theory and Evidence, The Stationary Office.
International Journal of Crowd Science
Pages 52-63
Cite this article:
Al-Ahmadi HM, Alhalabi WS, Malkawi RH, et al. Statistical analysis of the crowd dynamics in Al-Masjid Al-Nabawi in the city of Medina, Saudi Arabia. International Journal of Crowd Science, 2018, 2(1): 52-63. https://doi.org/10.1108/IJCS-08-2017-0024

512

Views

13

Downloads

6

Crossref

8

Scopus

Altmetrics

Received: 28 August 2017
Revised: 11 September 2017
Accepted: 30 October 2017
Published: 11 April 2018
©2018 International Journal of Crowd Science

Hassan M. Al-Ahmadi, Wael S. Alhalabi, Rezqallah Hasan Malkawi and Imran Reza. Published in International Journal of Crowd Science. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode

Return