176 Reducing travel distances in Sport – good for people and the planet
Karim Abu-Omar, Dogukan Özer, Antonina Tcymbal, Tobias Volk

TL;DR
This paper explores how optimization algorithms can reduce travel distances in sports, helping lower CO2 emissions for both amateur and professional events.
Contribution
The paper introduces an algorithm-based solution from optimization science to reduce travel distances in sports leagues and tournaments.
Findings
Optimization algorithms can significantly reduce travel distances for sports teams and participants.
Changing the order of tournaments can cut travel distances by over 30% in events like the IBU World Cup.
Travel distances in sports are a major source of CO2 emissions that can be mitigated with algorithmic optimization.
Abstract
Globally, about 30% of CO2 emissions are caused by travel. In order to comply with calls of the United Nations and the European Commission, the sport sector needs to reduce its emissions caused by travel to tournaments and league games in professional and amateur sport. To this date, no clear mechanisms exists on how to do this. The presentations shows how an algorithm based solution from optimisation science can help sport federations reducing travel distances in any type of league or tournament play. The sport federations of American Football (16 adolescent teams), Biathlon (IBU World Cup Series) and Gymnastics (64 1st and 2nd division Faustball teams) provided data on team locations, league play and tournament formats. Locations of teams and tournaments were mapped with Google Maps, and travel distances (straight-line, by car) were analysed. The algorithm Gurobi from optimisation…
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Taxonomy
TopicsUrban Transport and Accessibility
