<iframe src="https://www.googletagmanager.com/ns.html?id=GTM-PHTV9K7" height="0" width="0" style="display:none;visibility:hidden">
Loading
Skip to Main Content
Product cover image for Capital Bikeshare: Analyzing Bike Rental Demand

Capital Bikeshare: Analyzing Bike Rental Demand

Joe Naoum-Sawaya; Abby Xiong

Product #:9B21E008
Supplier:Ivey
Discipline:Management Science, Sustainability
Setting:United States, 2018
Details:Case (PDF) • 6 pages • 2021-03-15

Subjects:

Regression analysisStatistical analysisAnalytics and data scienceLeadership and managing peopleData scienceManagement

Industries:

Transportation and distribution

Geography:

North AmericaUnited States
Your Price:$9.71

Purchase this material with a free Educator Account and enjoy more benefits:

  • Free Educator Copy
  • Free Teaching Notes
  • Build your coursepack
  • Discounted academic price

In November 2018, a bicycle program specialist who worked in the Planning and Sustainability Division at the Washington, DC, District Department of Transportation, wanted to analyze Capital Bikeshare’s bike rental demand for the past two years. Capital Bikeshare was a station-based bike-sharing operator that provided an expansive, multi-jurisdictional transportation system to Washington and the surrounding area. If the bicycle program specialist could determine some significant factors that affected users’ ridership patterns, he could best design his expansion plan of adding 40 new bike-rental stations to the system. He obtained the hourly bike rental demand for October 2016–September 2018 to evaluate how sensitive the demand was to some external factors.

Learning Objectives

This case is suitable for use in data analytics or strategy courses at the undergraduate and graduate level. Previous knowledge in R is preferred; however, no previous knowledge of data analysis is required for the case. The case introduces and discusses the value of exploratory data analysis (EDA) and explains how to draw implications from data. Seasonality, correlation, the t test, and commonly used graphing tools are discussed. After working through the case and assignment questions, students will be able to do the following:
  • Frame appropriate questions for the EDA phase.
  • Determine which analytical tools and graphs are appropriate for use.
  • Draw implications from data to guide future analysis.
Loading
Case Study: Capital Bikeshare: Analyzing Bike Rental Demand (English version) | Ivey Publishing