Published September 21, 2023
| Version v1
Journal article
Open
Risky behaviors and road safety: An exploration of age and gender influences on road accident rates
Description
An accessory dataset and code repository for the (under review) publication:
Risky behaviors and road safety: An exploration of age and gender influences on road accident rates, in PLOS One.
In this repository, the "sample_data.csv" in the data folder is the final dataset used in the modeling (4_modeling.ipynb).
This directory contains:
Repository file descriptions| File + path | Description | Type |
|---|---|---|
| requirements.txt | a list of required Python packages | .txt |
| src/pop_data.py | a Python function for population grouping by age and gender. | .py |
| data/accidents/... | A .csv and .gpkg containing accidents in England, UK in 2019 | .csv & .gpkg |
| data/boundaries/england_lsoa.gpkg | A .gpkg containing the LSOA boundaries for England | .gpkg |
| data/hexagonal_grid/england_h8_grid.gpkg | A .gpkg containing the H3 hexagonal grid at the level 8 resolution for England | .gpkg |
| data/population/... | A .xlsx and .gpkg containing population data for England in 2019 by age and gender | .xlsx & .gpkg |
| data/sample_data.csv | A .csv containing the sample data for this study | .csv |
| 1_hex_grid_generation.ipynb | Python notebook detailing hexagonal grid generation (step 1 of the methodology) | .ipynb |
| 2_population_data.ipynb | Python notebook detailing population data processing (step 2 of the methodology) | .ipynb |
| 3_accident_sample_data.ipynb | Python notebook detailing accident and sample data processing (step 3 of the methodology) | .ipynb |
| 4_modeling.ipynb | Python notebook detailing final model building and SHAP generation | .ipynb |
To replicate this study, simply download this repository, install the required Python packages (requirements.txt), and run the Python notebooks in order from 1 to 4.
For reference, Python version 3.9.16 was used in this study.
Files
1_hex_grid_generation.ipynb
Files
(142.8 MB)
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