Applying the facility location problem model for selection of more climate benign mega sporting event hosts: A case of the FIFA World Cups.

Pereira, R.P.T., Camara, M.V.O., Ribeiro, G.M. and Filimonau, V., 2017. Applying the facility location problem model for selection of more climate benign mega sporting event hosts: A case of the FIFA World Cups. Journal of Cleaner Production, 159, 147 - 157.

Full text available as:

[img] PDF
filimonau_paper.pdf - Accepted Version
Restricted to Repository staff only until 13 May 2018.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

606kB

DOI: 10.1016/j.jclepro.2017.05.053

Abstract

Sporting mega-events generate substantial carbon footprint where return transportation of event participants and visitors between the source and host countries makes the largest contribution. To enhance environmental sustainability of sporting mega-events, it is paramount to select a host country with the lowest carbon footprint from international transportation without compromising the magnitude of major visitor flows. The Facility Location Problem (FLP) model represents an established tool employed in the business environment to determine the best location for the installation of facilities to provide for existing or envisaged consumer demand. The model has proven its feasibility in a number of economic sectors, but rarely been applied in tourism, and never with sustainability management and planning purposes. This study contributes to knowledge by demonstrating the applicability of the FLP model when planning for sporting mega-events. The model enables selection of a host country with better climate credentials by quantifying the magnitude of international transportation of the event participants alongside the associated carbon footprint. Application of the FLP model to the FIFA World Cups shows that, to facilitate the progress of these mega-events towards sustainability, a decision on a host country should be made after the team qualification round, rather than before, as it currently stands. The model can then identify prospective hosts with the lowest carbon footprint from international transportation.

Item Type:Article
ISSN:0959-6526
Uncontrolled Keywords:facility location problem; carbon footprint; mega-sporting event; FIFA world cup; transportation; event participants
Group:Faculty of Management
ID Code:29277
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:31 May 2017 14:13
Last Modified:31 May 2017 14:13

Downloads

Downloads per month over past year

More statistics for this item...
Repository Staff Only -