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Trajectory Data Analyses for Pedestrian Space-time Activity Study
Published on: February 25, 2013
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Effect of transit-oriented design on pedestrian and cyclist safety using bivariate spatial models
Mankirat Singh1, Yongping Zhang1, Wen Cheng1
1Department of Civil Engineering, California State Polytechnic University, Pomona, Pomona, CA 91768, United States.
Journal of Safety Research
|December 8, 2022
Summary
Joint models reveal that higher population, employment, and bus stop density increase pedestrian and bicyclist crashes near transit stops. This research aims to improve active transportation safety.
Area of Science:
- Transportation Safety
- Urban Planning
- Public Health
Background:
- Active transportation (walking and cycling) offers significant health, environmental, and social benefits.
- Pedestrians and cyclists are vulnerable road users, especially near transit stops, which are critical interfaces.
- Existing research has under-addressed the safety analysis of transit stops for active transportation users.
Purpose of the Study:
- To develop and evaluate joint statistical models for analyzing the safety of pedestrians and bicyclists at transit stops.
- To identify key factors influencing crash risk for active transportation modes at transit-oriented design locations.
- To enhance the understanding of safety dynamics at the interface between transit and active modes.
Main Methods:
- Utilized multivariate conditional autoregressive (MCAR) priors with a distance-oriented neighboring weight matrix for joint modeling.
- Employed transit-oriented design (TOD) data from Los Angeles County for model development.
- Applied feature selection using random forest (RF) and correlation analysis, coupled with an integrated nested Laplace approximation (INLA) algorithm.
Main Results:
- Joint models incorporating correlation effects significantly outperformed those without, indicating interdependence in crash factors.
- Identified population density, employment density, and bus stop density as significant positive predictors of bicyclist-involved crashes.
- Findings suggest that increased density in these areas correlates with a higher incidence of active mode collisions.
Conclusions:
- The developed joint models provide valuable insights into the safety of pedestrians and cyclists at transit stops.
- The study highlights the need to consider density-related factors in safety management for active transportation.
- Results can inform strategies for creating safer roadway environments for active modes, particularly in transit-oriented developments.
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