The Graduate School and University Center of The City University of New York
Seaport Vulnerability to Criminal Networks: A Mixed Method Approach to Measuring Criminological Vulnerability in the Top 30 U.S. Container Ports
Abstract
dc:description.abstract<p>Seaports form a unique space for criminological examination. As the locus points for the majority of international and domestic trade criminal network access to a port can provide outsized benefits. While ports are physical spaces they are underlined by complex systems incorporating public and private agencies, companies and small entities. Underlying the administrative and logistical activity at the port is a jurisdictional web of public and private security regulatory agencies. The complexity of the environment creates vulnerabilities that criminal networks can use to gain access to ports. This dissertation developed a Seaport Vulnerability Framework (SVF), developed from the rational choice and situational crime prevention literature with a multi-disciplinary focus that allows security stakeholders to identify whether a port is at risk of utilization by criminal networks. The SVF is used to measure and analyze criminological vulnerability in the top 30 U.S. container seaports and in-depth in a case study at the Port of New York and New Jersey. Finally, I examine the implications of the SVF for port and maritime security policy and port security assessments in the U.S. and worldwide.</p>
Degree
thesis:*- Name thesis:degree_name
- Doctor of Philosophy
- Level thesis:degree_level
- Doctoral
- Discipline thesis:degree_discipline
- Criminal Justice
- Grantor
- The Graduate School and University Center of The City University of New York
- Year dc:date.available
- 2017
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Lantsman, Leonid
- Advisor dc:contributor.advisor
-
- Michael Maxfield
- Committee members dc:contributor.committeemember
-
- Mangai Natarajan
- Jon Shane
Subjects
dc:subject × 7Identifiers
dc:identifier.*- Repository record dc:identifier
- https://academicworks.cuny.edu/gc_etds/2009
- OAI identifier oai:identifier
- oai:academicworks.cuny.edu:gc_etds-3018