Modeling the benefits of cooperative drafting : is there an optimal strategy to facilitate a sub-2-hour marathon performance?

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Deutscher übersetzter Titel:Modellierung des Nutzens des kooperativen Führungswechsels : gibt es eine optimale Strategie, eine Marathonzeit unter zwei Stunden zu ermöglichen?
Autor:Hoogkamer, Wouter; Snyder, Kristine L.; Arellano, Christopher J.
Erschienen in:Sports medicine
Veröffentlicht:48 (2018), 12, S. 2859-2867, Lit.
Format: Literatur (SPOLIT)
Publikationstyp: Zeitschriftenartikel
Medienart: Elektronische Ressource (online) Gedruckte Ressource
Sprache:Englisch
ISSN:0112-1642, 1179-2035
DOI:10.1007/s40279-018-0991-4
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Erfassungsnummer:PU201901000580
Quelle:BISp

Abstract des Autors

Background: During a race, competing cyclists often cooperate by alternating between leading and drafting positions. This approach allows them to maximize velocity by using the energy saved while drafting, a technique to reduce the overall drag by exploiting the leader’s slipstream. We have argued that a similar cooperative drafting approach could benefit elite marathon runners in their quest for the sub-2-hour marathon. Objective: Our aim was to model the effects of various cooperative drafting scenarios on marathon performance by applying the critical velocity concept for intermittent high-intensity running. Methods: We used the physiological characteristics of the world’s most elite long-distance runners and mathematically simulated the depletion and recovery of their distance capacity when running above and below their critical velocity throughout a marathon. Results: Our simulations showed that with four of the most elite runners in the world, a 2:00:48 (h:min:s) marathon is possible, a whopping 2 min faster than the current world record. We also explored the possibility of a sub-2-hour marathon using multiple runners with the physiological characteristics of Eliud Kipchoge, arguably the best marathon runner of our time. We found that a team of eight Kipchoge-like runners could break the sub-2-hour marathon barrier. Conclusion: In the context of cooperative drafting, we show that the best team strategy for improving marathon performance time can be optimized using a mathematical model that is based on the physiological characteristics of each athlete.