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Related Concept Videos

Survey Safety01:28

Survey Safety

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Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
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Multi-level hot zone identification for pedestrian safety.

Jaeyoung Lee1, Mohamed Abdel-Aty1, Keechoo Choi2

  • 1Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, Florida 32816-2450, United States.

Accident; Analysis and Prevention
|January 21, 2015
PubMed
Summary
This summary is machine-generated.

Pedestrian fatalities are rising, but this study identifies specific "hot zones" for crashes and pedestrian origins. Targeted interventions, like education for origin zones and engineering for crash zones, can improve road safety.

Keywords:
Bayesian approachCARGaussian conditional autoregressiveMacroscopic analysisPedestrian safetyPoisson lognormal modelScreeningSimultaneous equations modelingSpatial error modeling

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Area of Science:

  • Traffic safety research
  • Urban planning
  • Spatial analysis

Background:

  • Traffic crash fatalities have decreased, but pedestrian fatalities have risen from 11% to 14% over the last decade, according to the National Highway Traffic Safety Administration (NHTSA).
  • Identifying specific geographic areas, or "hot zones," associated with pedestrian crashes and the origins of involved pedestrians is crucial for developing effective safety interventions.

Purpose of the Study:

  • To identify "hot zones" where pedestrian crashes occur.
  • To identify zones from which crash-involved pedestrians originate.
  • To develop a novel method for combining these zonal factors to suggest targeted safety treatments.

Main Methods:

  • Estimation of a Bayesian Poisson lognormal simultaneous equation spatial error model (BPLSESEM).
  • Computation of potential for safety improvements (PSIs) using the model.
  • Development of a novel hot zone identification method integrating crash locations and pedestrian origins.

Main Results:

  • The BPLSESEM identified significant factors contributing to both pedestrian crash hot zones and pedestrian origin zones.
  • The study computed PSIs to quantify safety improvement potential.
  • A new method was proposed to combine hot zones from crash locations and pedestrian origins.

Conclusions:

  • Targeted safety education and awareness campaigns are recommended for pedestrian origin zones.
  • Area-wide engineering treatments and enforcement are suggested for pedestrian crash hot zones.
  • The proposed method enables practitioners to select appropriate safety treatments for pedestrian crashes based on zonal analysis.