United States Department of Transportation
i
Development and implementation of a trespass location severity analysis on a commuter rail right of way
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2013-04-15
[PDF-425.36 KB]
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Alternative Title:Proceedings of the 2013 Joint Rail Conference
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Abstract:The United States Department of Transportation’s
(USDOT) Research and Innovative Technology
Administration’s John A. Volpe National Transportation
Systems Center (Volpe Center), under the direction of the
USDOT Federal Railroad Administration (FRA) Office of
Research and Development (R&D), is conducting a Trespass
Prevention Research Study (TPRS) in the city of West Palm
Beach, Florida. The main objective of this research is to
demonstrate potential benefits, including documenting best
practices and lessons learned, of implementation and
evaluation of trespass prevention strategies on the rail network
in West Palm Beach, Florida and all of its rights-of-way.
This paper will detail the development and
implementation of a risk based data analysis to determine the
locations of highest trespass risk along the TriRail commuter
rail corridor through the City of West Palm Beach, FL. This
feeds into the overall study objective by providing a
methodology for prioritizing safety improvement programs for
high-risk trespass locations.
The research team used a hazard analysis process based
on the U.S. Department of Defense’s MIL-STD-882 and the
APTA hazard identification/resolution processes. The
adaptation of this methodology facilitated the systematic
identification, analysis, and resolution/mitigation of hazards
for this study.
The research team also developed a risk-based
prioritization algorithm for analyzing the trespass issue on the
corridor. The hazard analysis and risk-based prioritization
algorithm were used to identify several trespass high-risk
areas along the TriRail corridor. The results of the analysis
have been used by the study’s stakeholder group, composed of
railroads, state and local agencies, and their safety partners, to
develop a set of mitigation strategies for those higher-risk
locations as identified though this analysis.
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