This repository contains data and scripts associated with the "Investigating bicyclist safety perceptions and behaviors at roundabouts" research project MPC-603, funded by the Mountain-Plains Consortium, and carried out by Patrick Singleton and the Singleton Transportation Lab at Utah State University.
- Objectives
- Characterize bicyclists’ safety perceptions of roundabouts and roundabout elements.
- Identify bicyclists’ preferences for various roundabout elements.
- Methods
- Survey data collection, using an online questionnaire about bicyclists' personal characteristics, user behaviors, perceptions of comfort, and preferences for various design and operational elements of roundabouts.
- Statistical modeling of associations between safety perceptions and user characteristics, roundabout designs, and other factors.
- Poudel, N., & Singleton P. A. (2021). Bicycle safety at roundabouts: A systematic literature review. Transport Reviews, 1877207. https://doi.org/10.1080/01441647.2021.1877207
- Poudel, N., & Singleton, P. A. (2022). Preferences for roundabout attributes among US bicyclists: A discrete choice experiment. Transportation Research Part A: Policy and Practice, 155, 316-329. https://doi.org/10.1016/j.tra.2021.11.023
- Many of these scripts were written in R. To use, download R and then download RStudio.
- Many of these scripts were written in Python to use with Biogeme. To use, follow installation instructions.
- bicycle-safety-roundabouts.Rproj: This RStudio project file allows R users to use relative file paths from this root folder, if R scripts are opened after opening this R project file.
These folders contain data collected, assembled, and generated as part of this research project.
- Census: Files associated with weighting the data.
- Experimental designs: Files associated with generating and selecting the experimental designs.
- Final images: JPG and GIF files depicting the photorealistic simulated roundabouts.
- Survey: Anonymized survey data collected, along with questionnaire.
These folders contain processed data, scripts, and outputs associated with analyses of the research project data.
- Data cleaning: Files associated with the processing and cleaning of the survey data.
- Stated preference: Files associated with the discrete choice analysis of stated preference survey data.
- Data cleaning and weighting: Files associated with the preparation of the survey/experimental data for the analyses.
- Heterogeneity model: Files associated with the panel mixed multinomial logit models, including systematic preference heterogeneity.
- MMNL model: Files associated with the panel mixed multinomial logit models.
- MNL model: Files associated with the multinomial logit models.
- Comfort analysis: Files associated with the analysis of perceived comfort data.
- Data cleaning: Files associated with the preparation of survey data for the analysis.
- Comfort analysis: Files associated with the multivariate ordered probit models of comfort.