Abstract
Using ArcGIS, the locations of pubs, clubs, and bars were geocoded onto the street network of Seattle. Upon calculating the density of these drinking establishments throughout the city, the six densest areas, representing nightlife districts, were converted to polygons. Using publicly available check-in data from Gowalla, user check in data within these six polygons was obtained. After cross referencing the Gowalla users’ legal names with the Washington State Voter Registration Database, straight line distances between their legal addresses and bars patronized were calculated. As a result, distance traveled profiles were calculated for each nightlife district.
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