Crowd management and urban design: New scientific approaches-Reference-Cited by-同舟云学术

Crowd management and urban design: New scientific approaches

Published:2013-07-10 Issue:4 Volume:18 Page:282-295
ISSN:1357-5317
Container-title:URBAN DESIGN International
language:en
Short-container-title:Urban Des Int

Author:

Al-Kodmany Kheir

Publisher

Springer Science and Business Media LLC

Subject

Urban Studies,Geography, Planning and Development

Link

http://link.springer.com/content/pdf/10.1057/udi.2013.7.pdf

Reference48 articles.

1. Al-Gadhi, S.A. and Still, K.G. (2003) Jamarat bridge mathematical models, computer simulation and Hajjis safety analysis. Paper presented at Ministry of Hajj, Jeddah, Saudi Arabia.

2. Al-Haboubi, M.H. (2003) A new layout design for the Jamarat area (stoning the Devil). The Arabian Journal for Science and Engineering 28 (2B): 131–142.

3. Al-Malki, A. (2008) Traffic congestion eased at Jamarat Bridge. The Saudi Gazette, 5 December, http://freshgroup.blogspot.com/2008/12/traffic-congestion-eased-at-jamarat.html .

4. Al-Qahtaani, A. (2002) A Manual on the Rites of Hajj, 2nd edn. London: Invitation to Islam.

5. Ball, P. (2007) Crowd researchers make pilgrimage safer: The science of pedestrian motion meets the annual Hajj in Mecca. Telcom-Cities, news@nature.com, 19 January, http://www.nature.com/news/2007/070115/full/news070115-13.html .

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