使用SaTScan来识别和绘制宾夕法尼亚州费城的夜生活区。

IF 2.1 4区 地球科学 Q2 GEOGRAPHY
Journal of Maps Pub Date : 2024-01-01 Epub Date: 2024-09-17 DOI:10.1080/17445647.2024.2394505
Eliza W Kinsey, Kathryn M Neckerman, James W Quinn, Michael D M Bader, Stephen J Mooney, Gina S Lovasi, Dirk Kinsey, Andrew G Rundle
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引用次数: 0

摘要

许多城市都发展了夜生活区或娱乐区——集中了餐馆、酒吧和其他与娱乐相关的行业——以振兴衰落的社区。虽然娱乐区可以促进经济增长,但它们也可能导致公共健康风险,包括暴力犯罪、交通事故和其他危害。利用国家建立时间序列(National Establishment Time Series, NETS)商业数据库中的数据,我们开发了使用SaTScan集群检测软件识别娱乐区的方法,并将该方法应用于宾夕法尼亚州费城的案例研究。使用SaTScan,我们确定并绘制了城市中101个娱乐企业的空间集群。我们的方法是可扩展的,不需要事先了解当地的娱乐领域。这些结果为使用SaTScan来绘制社区特征的文献增加了一份数量不多但不断增长的文献。将娱乐区置于空间背景中可以了解建筑环境如何放大或最小化这些地区的潜在健康风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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来源期刊
Journal of Maps
Journal of Maps 地学-自然地理
CiteScore
4.30
自引率
9.10%
发文量
83
审稿时长
6-12 weeks
期刊介绍: The Journal of Maps is a peer-reviewed, inter-disciplinary, online journal that aims to provide a forum for researchers to publish maps and spatial diagrams.
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