Analyzing the Economic Impacts of Events within Prince George’s County
Analyzing the Economic Impacts of Events within Prince George’s County
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Date
2020
Authors
Aguirre-Mori, Jose
Akinkuade, Ayomide Valentine
Campos, Martin
Muhie, Musab
Romney, Ariana
Wondwossen, Ammanuel
Advisor
Panzer, Rich
Citation
DRUM DOI
Abstract
This collaborative project between PALS students, and representatives from M-NCPPC,
Department of Parks and Recreation (DPR), Prince George’s County began as a data analysis
effort. We were to analyze existing data from M-NCPPC, Department of Parks and Recreation
for insights into how hosted events and rental facilities impact the economics of Prince
George’s County as a whole. For example, one task would consist of analyzing the amount of
money spent within Prince George’s County by out-of-County tourists during their attendance
at a M-NCPPC, Department of Parks and Recreation service or event.
Due to the COVID-19 outbreak, many changes have been instituted by state and local
governments. Restrictions on group activities and indoor facility use have impacted DPR
operations and limited the scope of the services that they can provide during the outbreak.
We can expect that the scope will return to its usual size as restrictions are lifted, but in the
meantime, there is a new opportunity to capture data about Parks and Recreation users in
Prince George’s County. We hope that this data capture will ultimately help the Department of
Parks and Recreation in formulating new insights as COVID-19 continues to impact
organizations and people.
This shift of scope altered our data analysis project into one of data capture.
The task is to create a data collection method that will help capture economic losses endured
by Prince George’s County due to the service cancellations caused by the COVID-19 outbreak.
This method will also capture user interest in online-formatted services hosted by M-NCPPC,
Department of Parks and Recreation. We also aim to capture current user behavior of
remaining assets (parks and trails). The chosen data collection will be two surveys.
Notes
Final project for INST490: Integrated Capstone for Information Science (Spring 2020). University of Maryland, College Park.