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Major
Business Administration
Anticipated Graduation Year
2023
Access Type
Open Access
Abstract
The Chicago Transit Authority (CTA), the beating heart of Chicago’s public transit system, consistently faces inclimate weather throughout the year. Since the onset of the COVID-19 pandemic, the CTA has also been forced to reduce its amount of scheduled rides, causing increased turnover and extended job vacancies among its staff. This study seeks to examine the relationship between CTA ridership and the city’s weather patterns using the CHAID decision tree model. By understanding which specific meteorological aspects most effect transit usage, the organization can improve the quality of the CTA’s services, allow it to more effectively allocate its scarce resources, and better service their customers’ needs.
Faculty Mentors & Instructors
Carolyn Kmet, Professor
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
How Weather Affects the Ridership of the CTA
The Chicago Transit Authority (CTA), the beating heart of Chicago’s public transit system, consistently faces inclimate weather throughout the year. Since the onset of the COVID-19 pandemic, the CTA has also been forced to reduce its amount of scheduled rides, causing increased turnover and extended job vacancies among its staff. This study seeks to examine the relationship between CTA ridership and the city’s weather patterns using the CHAID decision tree model. By understanding which specific meteorological aspects most effect transit usage, the organization can improve the quality of the CTA’s services, allow it to more effectively allocate its scarce resources, and better service their customers’ needs.