Abstract
Understanding the spatial distribution of commercial sex activities (CSA) in urban environments is important in addressing the harms against sex workers and identifying sex trafficking operations. Guided by crime pattern theory, using Census data and New York Police Department (NYPD) prostitution-related arrests data ( N = 29,075) from 2010 to 2019, this study examines the “hot spots” of CSA in New York City. Local Spatial Autocorrelation Analysis (LISA) identified distinctive spatial clusters of CSA, whereas logistic regression explained their significant congregation in immigrant and racial-ethnic enclaves. The heterogeneity of clusters by boroughs portrays the convergence of activity space of sex workers, patrons, and sex business opportunities reflecting the high-demand locations of CSA and human trafficking in NYC.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
