Using SaTScan to identify and map nightlife areas in Philadelphia, PA

Many cities have promoted nightlife or entertainment districts - concentrations of restaurants, bars, and other entertainment-related businesses - in order to revitalize declining neighborhoods. While entertainment districts can boost economic growth, they can also contribute to public health risks including violent crime, traffic accidents, and other harms. With data from the National Establishment Time Series (NETS) business database, we developed methods to use SaTScan cluster detection software to identify entertainment districts, and applied the method in a case-study of Philadelphia, Pennsylvania. Using SaTScan, we identified and mapped 101 spatial clusters of entertainment businesses in the city. Our approach is scalable and does not require prior local knowledge about entertainment areas. The results add to a small but growing literature about the use of SaTScan to map neighborhood features. Placing entertainment districts in spatial context can inform how the built environment might amplify or minimize the potential health risks of these districts.

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Publication Details

Journal
Journal of Maps
Published
2024-09-17
DOI
https://doi.org/10.1080/17445647.2024.2394505
Citations
1
Primary Topic
Night-time city culture
Type
article
Field-Weighted Citation Impact
1.96

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article

Using SaTScan to identify and map nightlife areas in Philadelphia, PA

Kathryn M. Neckerman, Eliza W. Kinsey, Stephen John Mooney, James W. Quinn et al.
1 citations
Journal of Maps
Night-time city culture
1.96
article

Using SaTScan to identify and map nightlife areas in Philadelphia, PA

Kathryn M. Neckerman, Eliza W. Kinsey, Stephen John Mooney, James W. Quinn, Dirk Kinsey, Gina S. Lovasi, Andrew Graham Rundle, Michael D. M. Bader
article en
1 citations

Abstract

Many cities have promoted nightlife or entertainment districts - concentrations of restaurants, bars, and other entertainment-related businesses - in order to revitalize declining neighborhoods. While entertainment districts can boost economic growth, they can also contribute to public health risks including violent crime, traffic accidents, and other harms. With data from the National Establishment Time Series (NETS) business database, we developed methods to use SaTScan cluster detection software to identify entertainment districts, and applied the method in a case-study of Philadelphia, Pennsylvania. Using SaTScan, we identified and mapped 101 spatial clusters of entertainment businesses in the city. Our approach is scalable and does not require prior local knowledge about entertainment areas. The results add to a small but growing literature about the use of SaTScan to map neighborhood features. Placing entertainment districts in spatial context can inform how the built environment might amplify or minimize the potential health risks of these districts.

Journal of MapsVol. 20(1)
Johns Hopkins University (US), University of Washington (US), Drexel University (US), Columbia University (US), University of Pennsylvania (US)
Pennsylvania Department of Health, Drexel University, National Institute on Alcohol Abuse and Alcoholism, National Institute on Aging
Sustainable cities and communities
Openalex Percentile: Top 12%
Night-time city culture
1.96
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