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...

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Main Authors: Eliza W. Kinsey, Kathryn M. Neckerman, James W. Quinn, Michael D. M. Bader, Stephen J. Mooney, Gina S. Lovasi, Dirk Kinsey, Andrew G. Rundle
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Journal of Maps
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Online Access:https://www.tandfonline.com/doi/10.1080/17445647.2024.2394505
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author Eliza W. Kinsey
Kathryn M. Neckerman
James W. Quinn
Michael D. M. Bader
Stephen J. Mooney
Gina S. Lovasi
Dirk Kinsey
Andrew G. Rundle
author_facet Eliza W. Kinsey
Kathryn M. Neckerman
James W. Quinn
Michael D. M. Bader
Stephen J. Mooney
Gina S. Lovasi
Dirk Kinsey
Andrew G. Rundle
author_sort Eliza W. Kinsey
collection DOAJ
description 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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spelling doaj-art-d4feefb0e72b46259b96833877ec3f152025-01-06T14:32:05ZengTaylor & Francis GroupJournal of Maps1744-56472024-12-0120110.1080/17445647.2024.2394505Using SaTScan to identify and map nightlife areas in Philadelphia, PAEliza W. Kinsey0Kathryn M. Neckerman1James W. Quinn2Michael D. M. Bader3Stephen J. Mooney4Gina S. Lovasi5Dirk Kinsey6Andrew G. Rundle7Department of Family Medicine and Community Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USAColumbia Population Research Center, Columbia University, New York, NY, USADepartment of Epidemiology, Columbia University, New York, NY, USADepartment of Sociology, Johns Hopkins University, Baltimore, MD, USADepartment of Epidemiology, University of Washington, Seattle, WA, USADepartment of Epidemiology and Biostatistics, Drexel University, Philadelphia, PA, USADepartment of Epidemiology, Columbia University, New York, NY, USADepartment of Epidemiology, Columbia University, New York, NY, USAMany 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.https://www.tandfonline.com/doi/10.1080/17445647.2024.2394505Urban revitalizationentertainment districtsalcohol outlet densityspatial scan statisticsSaTScan
spellingShingle Eliza W. Kinsey
Kathryn M. Neckerman
James W. Quinn
Michael D. M. Bader
Stephen J. Mooney
Gina S. Lovasi
Dirk Kinsey
Andrew G. Rundle
Using SaTScan to identify and map nightlife areas in Philadelphia, PA
Journal of Maps
Urban revitalization
entertainment districts
alcohol outlet density
spatial scan statistics
SaTScan
title Using SaTScan to identify and map nightlife areas in Philadelphia, PA
title_full Using SaTScan to identify and map nightlife areas in Philadelphia, PA
title_fullStr Using SaTScan to identify and map nightlife areas in Philadelphia, PA
title_full_unstemmed Using SaTScan to identify and map nightlife areas in Philadelphia, PA
title_short Using SaTScan to identify and map nightlife areas in Philadelphia, PA
title_sort using satscan to identify and map nightlife areas in philadelphia pa
topic Urban revitalization
entertainment districts
alcohol outlet density
spatial scan statistics
SaTScan
url https://www.tandfonline.com/doi/10.1080/17445647.2024.2394505
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