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A Pilgrim Scheduling Approach to Increase Safety During the Hajj

Author

Listed:
  • Knut Haase

    (Institut für Verkehrswirtschaft, Universität Hamburg, D-20146 Hamburg, Germany;)

  • Mathias Kasper

    (Institut für Wirtschaft und Verkehr, Technische Universität Dresden, D-01187 Dresden, Germany;)

  • Matthes Koch

    (Institut für Verkehrswirtschaft, Universität Hamburg, D-20146 Hamburg, Germany;)

  • Sven Müller

    (Institute for Transport and Infrastructure, Karlsruhe University of Applied Science, D-76133 Karlsruhe, Germany)

Abstract

The Hajj—the great pilgrimage to Mecca, Saudi Arabia—is one of the five pillars of Islam. Up to four million pilgrims perform the Hajj rituals every year. This makes it one of the largest pedestrian problems in the world. Ramy al-Jamarat —the symbolic stoning of the devil—is known to be a particularly crowded ritual. Up until 2006, it was repeatedly overshadowed by severe crowd disasters. To avoid such disasters, Saudi authorities initiated a comprehensive crowd management program. A novel contribution to these efforts was the development of an optimized schedule for the pilgrims performing the stoning ritual. A pilgrim schedule prescribes specific routes and time slots for all registered pilgrim groups. Together, the assigned routes strictly enforce one-way flows toward and from the ritual site. In this paper, we introduce a model and a solution approach to the Pilgrim Scheduling Problem. Our multistage procedure first spatially smooths the utilization of infrastructure capacity to avoid dangerous pedestrian densities in the network. In the next optimization step, it minimizes overall dissatisfaction with the scheduled time slots. We solve the Pilgrim Scheduling Problem by a fix-and-optimize heuristic, and subsequently simulate the results to identify necessary modifications of the scheduling constraints. Our numerical study shows that the approach solves instances with more than 2.3 million variables in less than 10 minutes on average. At the same time, the gap between optimal solution and upper bound never exceeds 0.28%. The scheduling approach was an integral part of the Hajj planning process in 2007–2014 and 2016–2017. No crowd disaster occurred in these years. Our approach was not applied in 2015, when a severe crowd crush happened close to the ritual site. We briefly discuss possible causes and consequences of this accident.

Suggested Citation

  • Knut Haase & Mathias Kasper & Matthes Koch & Sven Müller, 2019. "A Pilgrim Scheduling Approach to Increase Safety During the Hajj," Operations Research, INFORMS, vol. 67(2), pages 376-406, March.
  • Handle: RePEc:inm:oropre:v:67:y:2019:i:2:p:376-406
    DOI: 10.1287/opre.2018.1798
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    References listed on IDEAS

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    1. Van den Bergh, Jorne & Beliën, Jeroen & De Bruecker, Philippe & Demeulemeester, Erik & De Boeck, Liesje, 2013. "Personnel scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 226(3), pages 367-385.
    2. Abdelghany, Ahmed & Abdelghany, Khaled & Mahmassani, Hani & Alhalabi, Wael, 2014. "Modeling framework for optimal evacuation of large-scale crowded pedestrian facilities," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1105-1118.
    3. Daganzo, Carlos F., 1995. "The cell transmission model, part II: Network traffic," Transportation Research Part B: Methodological, Elsevier, vol. 29(2), pages 79-93, April.
    4. Anders Johansson & Dirk Helbing & Pradyumn K. Shukla, 2007. "Specification Of The Social Force Pedestrian Model By Evolutionary Adjustment To Video Tracking Data," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 10(supp0), pages 271-288.
    5. Saleh, Wafaa & Farrell, Séona, 2005. "Implications of congestion charging for departure time choice: Work and non-work schedule flexibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 773-791.
    6. Knut Haase & Habib Zain Al Abideen & Salim Al-Bosta & Mathias Kasper & Matthes Koch & Sven Müller & Dirk Helbing, 2016. "Improving Pilgrim Safety During the Hajj: An Analytical and Operational Research Approach," Interfaces, INFORMS, vol. 46(1), pages 74-90, February.
    7. Choi, W. & Hamacher, H. W. & Tufekci, S., 1988. "Modeling of building evacuation problems by network flows with side constraints," European Journal of Operational Research, Elsevier, vol. 35(1), pages 98-110, April.
    8. Bretschneider, S. & Kimms, A., 2011. "A basic mathematical model for evacuation problems in urban areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 523-539, July.
    9. Ernst, A. T. & Jiang, H. & Krishnamoorthy, M. & Sier, D., 2004. "Staff scheduling and rostering: A review of applications, methods and models," European Journal of Operational Research, Elsevier, vol. 153(1), pages 3-27, February.
    10. Stepanov, Alexander & Smith, James MacGregor, 2009. "Multi-objective evacuation routing in transportation networks," European Journal of Operational Research, Elsevier, vol. 198(2), pages 435-446, October.
    11. Charnes, A. & Duffuaa, S. & Yafi, A., 1989. "A non-linear congestion network model for planning internal movement in the Hajj," European Journal of Operational Research, Elsevier, vol. 40(3), pages 292-298, June.
    12. Abdelghany, Ahmed & Abdelghany, Khaled & Mahmassani, Hani, 2016. "A hybrid simulation-assignment modeling framework for crowd dynamics in large-scale pedestrian facilities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 159-176.
    13. Jou, Rong-Chang & Kitamura, Ryuichi & Weng, Mei-Chuan & Chen, Chih-Cheng, 2008. "Dynamic commuter departure time choice under uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(5), pages 774-783, June.
    14. Cardoen, Brecht & Demeulemeester, Erik & Beliën, Jeroen, 2010. "Operating room planning and scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 201(3), pages 921-932, March.
    15. Zheng Li & Alejandro Tirachini & David A. Hensher, 2012. "Embedding Risk Attitudes in a Scheduling Model: Application to the Study of Commuting Departure Time," Transportation Science, INFORMS, vol. 46(2), pages 170-188, May.
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    2. Huo, Feizhou & Li, Yufei & Li, Chao & Ma, Yaping, 2022. "An extended model describing pedestrian evacuation considering pedestrian crowding and stampede behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    3. Gilles Pache, 2023. "Tourisme religieux : de quoi la logistique urbaine est-elle le nom ?," Post-Print hal-03973981, HAL.

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