A Pilgrim Scheduling Approach to Increase Safety During the Hajj

References

• Abdelghany A, Abdelghany K, Mahmassani H (2016) A hybrid simulation-assignment modeling framework for crowd dynamics in large-scale pedestrian facilities. Transportation Res. Part A: Policy Practice 86:159–176.Crossref, Google Scholar
• Abdelghany A, Abdelghany K, Mahmassani H, Alhalabi W (2014) Modeling framework for optimal evacuation of large-scale crowded pedestrian facilities. Eur. J. Oper. Res. 237(3):1105–1118.Crossref, Google Scholar
• Al Arabiya (2016) Illegal Hajj pilgrims to be tried, sentenced within 24 hours. (September 7), http://english.alarabiya.net/en/News/middle-east/2016/09/07/Illegal-hajj-pilgrims-to-be-tried-sentenced-within-24-hours.html.Google Scholar
• Al Arabiya (2017) Saudi king approves Hajj capacity increase. (January 5), http://english.alarabiya.net/en/News/gulf/2017/01/05/Saudi-King-approves-increasing-Hajj-capacity.html.Google Scholar
• Almukhtar S, Watkins D (2016) How one of the deadliest Hajj accidents unfolded. New York Times (September 6), http://www.nytimes.com/interactive/2016/09/06/world/middleeast/2015-hajj-stampede.html.Google Scholar
• Baxter E (2010) 15 percent increase in Saudi pilgrims in 2010. Arabian Bus. (March 4), http://www.arabianbusiness.com/582928-15-increase-in-saudi-pilgrims-in-2010.Google Scholar
• Benedictus L (2015) Hajj crush: How crowd disasters happen, and how they can be avoided. The Guardian (December 23), https://www.theguardian.com/world/2015/oct/03/hajj-crush-how-crowd-disasters-happen-and-how-they-can-be-avoided.Google Scholar
• Bretschneider S, Kimms A (2011) A basic mathematical model for evacuation problems in urban areas. Transportation Res. Part A: Policy Practice 45(6):523–539.Crossref, Google Scholar
• Browning N (2015) Haj death toll rises to 769, Iran denounces ‘crime.’ Reuters (September 26), http://www.reuters.com/article/us-saudi-haj-toll-idUSKCN0RQ0FB20150926.Google Scholar
• Bucks J (2015) The Hajj crush: It was the closest thing to hell on earth. The Guardian (December 23), https://www.theguardian.com/news/2015/dec/23/hajj-crush-pilgrimage-mecca-stampede-saudi-arabia-mina-valley.Google Scholar
• Cardoen B, Demeulemeester E, Belien J (2010) Operating room planning and scheduling: A literature review. Eur. J. Oper. Res. 201(3):921–932.Crossref, Google Scholar
• Cayirli T, Veral E (2003) Outpatient scheduling in health care: A review of literature. Production Oper. Management 12(4):519–549.Crossref, Google Scholar
• Charnes A, Duffuaa S, Yafi A (1989) A non-linear congestion network model for planning internal movement in the Hajj. Eur. J. Oper. Res. 40(3):292–298.Crossref, Google Scholar
• Cheng L, Yarlagadda R, Fookes C, Yarlagadda PKDV (2014) A review of pedestrian group dynamics and methodologies in modelling pedestrian group behaviours. World 1(1) 002–013.Google Scholar
• Choi W, Hamacher H, Tufekci S (1988) Modeling of builing evacuation problems by network flows with side constraints. Eur. J. Oper. Res. 35(1):98–110.Crossref, Google Scholar
• Church RL, Cova TJ (2000) Mapping evacuation risk on transportation networks using a spatial optimization model. Transportation Res. Part C: Emerging Tech. 8(1–6):321–336.Crossref, Google Scholar
• Coscia V, Canavesio C (2008) First-order macroscopic modelling of human crowd dynamics. Math. Models Methods Appl. Sci. 18(supp01):1217–1247.Crossref, Google Scholar
• Daganzo CF (1995) The cell transmission model, part II: Network traffic. Transportation Res. Part B: Methodological 29(2):79–93.Crossref, Google Scholar
• Ernst AT, Jiang H, Krishnamoorthy M, Sier D (2004) Staff scheduling and rostering: A review of applications, methods and models. Eur. J. Oper. Res. 153(1):3–27.Crossref, Google Scholar
• Feng L, Miller-Hooks E (2014) A network optimization-based approach for crowd management in large public gatherings. Transportation Res. Part C: Emerging Tech. 42:182–199.Crossref, Google Scholar
• Fruin JJ (1971) Pedestrian planning and design. Technical report, Metropolitan Association of Urban Designers and Environmental Planners, New York.Google Scholar
• Gambrell J, Ahmed B (2015) Hajj stampede in September killed over 2,400, new count finds. New York Times (December 10) http://www.nytimes.com/aponline/2015/12/10/world/middleeast/ap-ml-saudi-hajj.html.Google Scholar
• GAMS, Development Corporation (2016) General Algebraic Modeling System (GAMS), release 24.7.1. GAMS Development Corporation, Washington, DC. http://www.gams.com.Google Scholar
• Graham-Harrison E, Dehghan SK, Salih ZM (2015) Hajj pilgrimage: More than 700 dead in crush near Mecca. The Guardian (September 24), https://www.theguardian.com/world/2015/sep/24/mecca-crush-during-hajj-kills-at-least-100-saudi-state-tv.Google Scholar
• Guardian, The (2016) Saudi Arabia tightens up hajj planning to avoid repeat of 2015 disaster. (September 4), https://www.theguardian.com/world/2016/sep/04/saudi-arabia-tightens-up-hajj-planning-avoid-repeat-2015-disaster.Google Scholar
• Haase K, Al Abideen H, Al-Bosta S, Kasper M, Koch M, Müller S, Helbing D (2016) Improving pilgrims safety during Hajj: An analytical and operational research approach. Interfaces 46(1):74–90.Link, Google Scholar
• Hamacher H, Tjandra S (2001) Mathematical modelling of evacuation problems: A state of art. Technical Report 24, Fraunhofer Institut Techno- und Wirtschaftsmathematik, Kaiserslautern, Germany.Google Scholar
• Helbing D (1992) A fluid-dynamic model for the movement of pedestrians. Complex Systems 6:391–415.Google Scholar
• Helbing D, Johansson A (2009) Pedestrian, crowd and evacuation dynamics. Meyers R, ed. Encyclopedia of Complexity and Systems Science (Springer, New York), 6476–6495.Crossref, Google Scholar
• Helbing D, Johansson A, Al-Abideen HZ (2007) Dynamics of crowd disasters: An empirical study. Phys. Rev. E 75(4):046109.Crossref, Google Scholar
• Helbing D, Farkas I, Molnar P, Vicsek T (2002) Simulation of pedestrian crowds in normal and evacuation situations. Schreckenberg M, Sharma S, eds. Pedestrian and Evacuation Dynamics (Springer, Berlin).Google Scholar
• Helbing D, Brockmann D, Chadefaux T, Donnay K, Blanke U, Woolley-Meza O, Moussaid M, et al.. (2015) Saving human lives: What complexity science and information systems can contribute. J. Statist. Phys. 158(3):735–781.Crossref, Google Scholar
• Johansson A (2008) Data-driven modeling of pedestrian crowds. PhD thesis, Faculty of Traffic Sciences, Technische Universität, Dresden, Germany. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-20900.Google Scholar
• Johansson A, Helbing D, Shukla P (2007) Specification of the social force pedestrian model by evolutionary adjustment to video tracking data. Adv. Complex Systems 10(suppl 2):271–288.Crossref, Google Scholar
• Jou R-C, Kitamura R, Weng M-C, Chen C-C (2008) Dynamic commuter departure time choice under uncertainty. Transportation Res. Part A: Policy Practice 42(5):774–783.Crossref, Google Scholar
• Kassens-Noor E, Wilson M, Müller S, Maharaj B, Huntoon L (2015) Towards a mega-event legacy framework. Leisure Stud. 34(6):665–671.Crossref, Google Scholar
• Li Z, Tirachini A, Hensher DA (2012) Embedding risk attitudes in a scheduling model: Application to the study of commuting departure time. Transportation Sci. 46(2):170–188.Link, Google Scholar
• Müller S (2015) Spaces of rites and locations of risk: The great pilgrimage to Mecca. Brunn SD, ed. The Changing World Religion Map: Sacred Places, Identities, Practices and Politics (Springer, Dordrecht, Netherlands), 841–853.Crossref, Google Scholar
• Nemhauser GL, Trick MA (1998) Scheduling a major college basketball conference. Oper. Res. 46(1):1–8.Link, Google Scholar
• Plackett B (2016) To stone the devil, safely. Inside Science (September 8), https://www.insidescience.org/news/stone-devil-safely.Google Scholar
• Saleh W, Farrell S (2005) Implications of congestion charging for departure time choice: Work and non-work schedule flexibility. Transportation Res. Part A: Policy Practice 39(7–9):773–791.Crossref, Google Scholar
• Senbil M, Kitamura R (2004) Reference points in commuter departure time choice: A prospect theoretic test of alternative decision frames. J. Intelligent Transportation Systems 8(1):19–31.Crossref, Google Scholar
• Stepanov A, Smith JMG (2009) Multi-objective evacuation routing in transportation networks. Eur. J. Oper. Res. 198(2):435–446.Crossref, Google Scholar
• Still K (2013) Fruin - levels of service. Online course support, Crowd Risk Analysis and Crowd Safety, May 29, http://www.gkstill.com/Support/crowd-flow/fruin/LoS.html.Google Scholar
• Treiber M, Kersting A (2012) Traffic Flow Dynamics: Data, Models and Simulation (Springer, Berlin).Google Scholar
• Van den Bergh J, Belien J, De Bruecker P, Demeulemeester E, De Boeck L (2013) Personnel scheduling: A literature review. Eur. J. Oper. Res. 226(3):367–385.Crossref, Google Scholar
• Verbas Ö, Abdelghany A, Mahmassani H, Elfar A (2016) Integrated optimization and simulation framework for large-scale crowd management application. Transportation Res. Record: J. Transportation Res. Board 2560(1):57–66. https://doi.org/10.3141/2560-07.Crossref, Google Scholar
• Yamaguchi K, Berg AC, Ortiz LE, Berg TL (2011) Who are you with and where are you going? 2011 IEEE Conf. Comput. Vision Pattern Recognition (CVPR 2011) (IEEE, Washington, DC), 1345–1352.Crossref, Google Scholar