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Journal article
Using SaTScan to identify and map nightlife areas in Philadelphia, PA
Journal of maps, v 20(1)
01 Dec 2024
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Using SaTScan to identify and map nightlife areas in Philadelphia, PA
- Creators
- Eliza W. Kinsey - University of PennsylvaniaKathryn M. Neckerman - Columbia UniversityJames W. Quinn - Columbia UniversityMichael D. M. Bader - Johns Hopkins UniversityStephen J. Mooney - University of WashingtonGina S. Lovasi - Drexel UniversityDirk Kinsey - Columbia UniversityAndrew G. Rundle - Columbia University
- Publication Details
- Journal of maps, v 20(1)
- Publisher
- Taylor & Francis Group; ABINGDON
- Number of pages
- 11
- Grant note
- NIAAA: 1R01AA028552 National Institute of Aging: R01AG049970, R01AG049970-S1, R56AG049970 Commonwealth Universal Research Enhancement (C.U.R.E) program - Pennsylvania Department of Health-2015 Formula award: 4100072543 This work was supported by NIAAA under [grant number 1R01AA028552]. In addition, this work was supported by the National Institute of Aging [grant numbers R01AG049970, R01AG049970-S1, R56AG049970], Commonwealth Universal Research Enhancement (C.U.R.E) program funded by the Pennsylvania Department of Health-2015 Formula award [grant number SAP #4100072543], the Urban Health Collaborative at Drexel University, and the Built Environment and Health Research Group at Columbia University.
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative; Dana and David Dornsife School of Public Health; Epidemiology and Biostatistics
- Web of Science ID
- WOS:001314432700001
- Scopus ID
- 2-s2.0-85204712628
- Other Identifier
- 991021904810604721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Geography
- Geography, Physical