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Abstract Details

Activity Number: 334
Type: Contributed
Date/Time: Tuesday, August 1, 2017 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Education
Abstract #323293 View Presentation
Title: Triathlon Road Closure Control
Author(s): Zonghuan (Jason) Li* and Mason Chen
Companies: Student and Mason Chen Consulting
Keywords: Statistics ; SPSS ; Minitab ; Boxplot ; Scatterplot
Abstract:

The Triathlon is an Olympic event that affects the entire city. This proposal is to manage the road closure time of a triathlon event in Our City. In order to quantify the Road Closure Impact to meet 5.5 hours of closure time, I have developed three different models: (1) Ideal Scenario, (2) Practical Scenario, and (3) Potential Scenario. In the first Ideal Scenario, I applied Minitab and AP descriptive Statistics and Box Plots to optimize the event schedule and sequence among three Sports (Swim, Run, and Bike). In the second Practical Scenario, I have managed the risks such as: event preparation time, award ceremony time, dependency on Gender, Age, Category factors, 2000+ players, Safety/Health, etc. In the last Potential Scenario, I have further optimized the Zone Close and Open period. We can minimize the Zone wasted usage (waiting for players) based on the Worst Case Scenario. The biggest selling point of this proposal is not just on the Closure Cost reduction, but also on the Safety/Health protection as well as promoting customer service. This event may be completed on the event day, but our excellent customer service can attract more visitors to join the next city event.


Authors who are presenting talks have a * after their name.

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