Mega sports events such as the Olympics and the FIFA World Cup are highly attended and countries compete ferociously to host such events due to their perceived long term positive effects. Inbound tourist forecasting is an important aspect of the hosting decision; however, due to the infrequent occurrence of such events, it is not straightforward to predict the number of tourists who may travel to the host country. We focus in this paper on a regression model known as the Gravity Model to predict the number of inbound tourists between pairs of countries and we extend it to include new predictors and study their impact.
Gravity model, mega sport events, tourists forecasting, ordinary least square regression.
G. Rabadi, A. S. Stanekzai, and T. S. Cotter are with the Engineering Management and Systems Engineering at Old Dominion University, Norfolk, Virginia 23529, USA (e-mail: firstname.lastname@example.org, email@example.com, firstname.lastname@example.org).
M. Al-Salem is with the Mechanical and Industrial Engineering, Qatar University, Doha, Qatar (e-mail: email@example.com).
Ghaith Rabadi, A. Sami Stanekzai, T. Steven Cotter, and Mohammed H. Al-Salem, "
Gravity Model Extensions for the Impact of Mega Sports Events on Tourist Flow," Journal of Economics, Business and Management vol. 4, no. 10, pp.