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Published on: June 9, 2020
Pedestrian crash causation analysis near bus stops: Insights from random parameters Negative Binomial-Lindley model
Mohammad Anis1, Srinivas R Geedipally2, Dominique Lord1
1Zachry Department of Civil & Environmental Engineering, Texas A&M University, College Station, TX 77843, USA.
Pedestrian safety near bus stops is improved by adding crosswalks, lighting, and sidewalks. Higher traffic and boarding activity increase crash risks, while far-side placement and signalized intersections reduce them.
Area of Science:
- Transportation Engineering
- Urban Planning
- Public Health
Background:
- Pedestrian safety near urban bus stops is understudied, often overlooked in favor of intersections.
- Existing research inadequately addresses how specific bus stop designs and traffic interact to affect pedestrian safety.
- A critical gap exists in understanding site-specific factors influencing pedestrian crash risks around transit stops.
Purpose of the Study:
- To develop a comprehensive framework for assessing pedestrian safety specifically at urban bus stop locations.
- To identify key traffic, roadway, and bus stop design features impacting pedestrian crash frequency.
- To provide data-driven insights for proactive safety management and risk prioritization.
Main Methods:
- Utilized a Random Parameters Negative Binomial-Lindley (RPNB-L) model to analyze pedestrian crash data from 596 bus stops in Fort Worth, Texas (2018-2022).
- Incorporated a Full Bayes-based Potential for Safety Improvement (PSI) metric for identifying hazardous locations and corridors.
- Accounted for unobserved heterogeneity and site-specific variability in crash risk factors.
Main Results:
- Increased Average Annual Daily Traffic (AADT), high boarding activity, and lack of crosswalks, medians, or lighting significantly correlate with higher pedestrian crash frequencies.
- Far-side bus stop placement, signalized intersections, sidewalks, and mixed-use developments are associated with reduced crash risks.
- Roads near schools and speed limits of 35 mph or less exhibit elevated pedestrian crash risks.
Conclusions:
- Bus stop location, surrounding development, and presence of safety infrastructure are critical determinants of pedestrian safety.
- The RPNB-L model and PSI metric offer effective tools for identifying high-risk bus stops and prioritizing safety interventions.
- Actionable, evidence-based strategies can be developed to enhance pedestrian safety in the vicinity of urban transit stops.
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