Planned Special Event Travel Demand Model Development

Document Type : Original Article


Istanbul Technical University, Faculty of Civil Engineering, Department of Transportation Engineering, Istanbul, Turkey


When a planned special event (PSE) is mentioned, large and international organizations are considered. These organizations attract so many people all around the world to local points. However, relatively small scale PSEs such as ordinary league games that are organized once every two weeks that impact the daily traffic of the cities especially metropolitans, are neglected. This paper focuses on the travel demand modelling of the ordinary super league games in Istanbul. As a purpose of this paper, in order to obtain a customizable and standalone PSE model, survey design and data collection procedures, a new methodology for trip generation, trip distribution, and modal split steps of the traditional 4-step demand modelling are considered. With the opportunity provided by the newly proposed methodology, unlike most previous studies in literature, all trips and activities in the same day with the PSE are taken into the modelling process. Because of the nature of the PSEs, participants prefer to perform additional (derived) activities in the time between leaving the origin and joining the PSE. Accordingly, 1, 2, and 3-step groups are defined, and the shape of trip length distributions are different not only from the peak hours but also from each other. At the end, the model estimation and development of the PSE travel demand model are presented with conclusions and suggestions.


Sumi, L. and Ranga, V., "Intelligent traffic management system for prioritizing emergency vehiclesin a smart city", International Journal of Engineering- Transaction A: Basics, Vol. 31, No. 2, (2018), 278-283.
Federal Highway Administration (FHWA). “Managing Travel for Planned Special Events Handbook: Executive Summary”, FHWA-HOP-07-108. Department of Transportation, (2007), Washington D.C, USA.
Latoski S P, Dunn W M, Wagenblast B, Randall J, Walker M D. “Managing travel for planned special events.” Department of Transportation, (2003), USA.
Federal Highway Administration (FHWA). “Planned Special Events – Economic Role and Congestion Effects”, FHWA-HOP-08-022. Department of Transportation, (2008), Washington D.C, USA.
Kwon, J., Mauch, M. and Varaiya, P. “Components of Congestion: Delay from Incidents, Special Events, Lane Closures, Weather, Potential Ramp Metering Gain, and Excess Demand.” Transportation Research Record: Journal of the Transportation Research Board, No. 1959, Transportation Research Board of the National Academies, (2006), 84-91.  
Federal Highway Administration, “An Initial Assessment of Freight Bottlenecks on Highways” (2005).
Getz D. “Event Tourism: Definition, evolution, and research.” Tourism Management. Vol. 29, No. 3, (1997), 403-428.
Kuppam A, Copperman R, Lemp J, Rossi T, Livshits V, Vallabhaneni L, Jeon K and Brown E. “Special events travel surveys and model development”, Transportation Letters, Vol. 5, No. 2, (2013), 67-82, DOI: 10.1179/1942786713Z.0000000007.
Frantzeskakis J, Frantzeskakis M. “Athens 2004 Olympic Games: Transportation Planning, Simulation and Traffic Management”, ITE Journal, Vol. 76, No. 10, (2006), 26-32.
Lin, Y.-Z and Chen, W. –H. “A simulation-based multiclass, multimodal traffic assignment model with departure time for evaluating traffic control plans of planned special events”. Transport. Res. Procedia, Vol. 25, (2017), 1352-1379.
Frawley S, Hoven P V. “Football participation legacy and Australia's qualification for the 2006 Football World Cup”. Soccer & Society. (2015), Vol. 16, No. 4, 482-492.
Li Y, Wang X, Sun S, Ma X, Lu G. “Forecasting short-term subway passenger flow under special events scenarios using multiscale radial basis function networks”, Transportation Research Part C. Vol. 77, (2017),  306-328.
Shakibaei S, Tezcan O H, Ogut S. “Evaluating Transportation Preferences for Special Events: A Case Study for a Megacity, Istanbul.” EWGT2013 - 16th Meeting of the EURO Working Group on Transportation. Procedia - Social and Behavioral Sciences; Vol. 111, (2014), 98-106.
Zagidullin R. “Model of Road Traffic Management in the City during Major Sporting Events”, Transportation Research Procedia. Vol. 20, (2017), 709-716.
Shin J, Lyu S O. “Using a discrete choice experiment to estimate spectators' willingness to pay for professional baseball park sportscape”, Sport Management Review, Vol. 22, (2019), 502-512.
Yan, L. C., Yang, S. S. and Fu, G. J. “Travel Demand Model for Beijing 2008 Olympic Games”, Journal of Transportation Engineering, Vol. 136, No. 6, (2010), 537-544.
Florez, J., Muniz, J., and Portugal, L. “Pedestrian quality of service: Lessons from Maracanã Stadium”, Procedia - Social and Behavioral Sciences, Vol. 160, (2014), 130-139.
Bowman, J.L., and Ben-Akiva M.E. “Activity-based disaggregate travel demand model system with activity schedules”, Transportation Research Part A, Vol. 35, (2000), 1–28.
Chang, M. and Lu, P. “A Multinomial Logit Model of Mode and Arrival Time Choices for Planned Special Events”, Journal of the Eastern Asia Society for Trans. Studies, Vol. 10, (2013).
M. Elmorssy and T.H. Onur, “Modelling Departure Time, Destination and Travel Mode Choices by Using Generalized Nested Logit Model: Discretionary Trips”, International Journal of Engineering, Transactions B: Applications, Vol. 33, No. 2, (2020), 186-197.
Ortuzar, J. D., and Willumsen, L. G. “Modelling Transport (4th Edition)”. A John Wiley and Sons, Ltd., Publication, (2011). ISBN: 978-0-470-76039-0.
Salter, RJ and Hounsell, NB. Highway traffic analysis and design. New York: Palgrave Macmillan, 1996.
Koppelman F S, Bhat C. “A Self Instructing Course in Mode Choice Modelling: Multinomial and Nested Logit Models.” U.S. Department of Transportation Federal Transit Administration, (2006), 18-19.
Kamboozia, N., Ameri, M., and Hosseinian, S.M. “Statistical analysis and accident prediction models leading to pedestrian injuries and deaths on rural roads in Iran”. International Journal of Injury Control and Safety Promotion, (2020).
Milkovits, M., Kuppam, A., Kurth, D. and Rossi, T. “Comprehensive Validation Of An Activity-Based Model - Experiences from Houston-Galveston Area Council's Activity-Based Model Development”, Prepared for presentation and possible publication Transportation Research Board 94th Annual Meeting Washington, D.C. Submitted: August 1, 2014.
Kwoczek, S., Di Martino, S. and Nejd, W. “Predicting and visualizing traffic congestion in the presence of planned special events.” Journal of Visual Languages and Computing, Vol. 25, (2014), 973-980.
Dai, L., Gu, J., Sun, Z., and Qiu, H., “Study on Traffic Organization and Management Strategies for Large Special Events”, International Conference on System Science and Engineering, (2012), Dalian, China.
Ghasemi, J. and Rasekhi, J., “Traffic Signal Prediction Using Elman Neural Network and Particle Swarm Optimization”, International Journal of Engineering, Transactions B: Applications, Vol. 29, No. 11, (2016), 1558-1564.