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Massachusetts Institute of Technology

Quantitative analysis of 200 meter track times

Abstract

dc:description.abstract

Using male, varsity, division 3 collegiate track and field results from the past decade, critical coaching decisions such as optimizing meet scheduling, targeting efficient training programs to mimic, and identifying potential performance-influencing factors on athletes can be made more easily. To come to these conclusions, 200-meter race times were normalized using seasonal athlete improvement factors and wind data to identify at which facilities athletes tended to run faster times and what factors make those facilities fast. It can be concluded that the variation in banked track and field facilities makes the banked-to-flat track conversion factor implemented by the NCAA in 2012 is potentially too harsh for athletes to compete on some banked indoor tracks compared to others. The data also has the potential for many other applications such as identifying the highest quality training programs, analyzing conversion factors and facility speed for races other than the 200-meter dash, and applying similar principals to variations in swimming facilities.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Mechanical Engineering.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Corts, Brandon (Brandon E.)
Advisor dc:contributor.advisor
  • Anette Hosoi.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/112577
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/112577

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Corts, Brandon (Brandon E.). Quantitative analysis of 200 meter track times. Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112577