Beinhauer, Amanda
(2022)
Implications of transportation on human trafficking in the United States: a spatial analysis.
Undergraduate Thesis, University of Pittsburgh.
(Unpublished)
Abstract
Human trafficking often involves the movement of people across country borders, state borders, in between cities, and across town. Spatial analyses of the flows and connections that characterize human trafficking at all scales are limited. Likewise, the connection between modes of transportation and trafficking rates has yet to be fully explored. This paper addresses this gap by providing a descriptive analysis of the correlation between the number and type of transportation hubs (airports, ports, train stations, and border crossing stations) and human trafficking prosecution rates using Geographic Information Systems (GIS). The results show that human trafficking prosecutions are concentrated in areas with large urban places and populations, Texas, California, Florida, and Virginia, and one other state, South Dakota. Border states have the largest number of transportation hubs. A bivariate correlation, a statistical technique that determines the existence and strength of relationships between two variables, shows that there is a strong correlation between the number of transportation hubs in a state and human trafficking prosecution rates.
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Details
| Item Type: |
University of Pittsburgh ETD
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| Status: |
Unpublished |
| Creators/Authors: |
|
| ETD Committee: |
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| Date: |
25 April 2022 |
| Date Type: |
Publication |
| Defense Date: |
15 April 2022 |
| Approval Date: |
25 April 2022 |
| Submission Date: |
22 April 2022 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Number of Pages: |
64 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
David C. Frederick Honors College |
| Degree: |
BPhil - Bachelor of Philosophy |
| Thesis Type: |
Undergraduate Thesis |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
human trafficking, district court jurisdictions, GIS, spatial analysis, transportation |
| Date Deposited: |
25 Apr 2022 23:25 |
| Last Modified: |
25 Apr 2022 23:25 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/42707 |
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