Kent UK Traffic Accident Severity Data with Urban-Rural Segmentation, 2022-2024

Disaggregated accident data from Kent, UK, covering the years 2022 to 2024. The dataset was used in a study proposing an explainable, spatially segmented machine learning framework to examine urban-rural heterogeneity in crash outcomes. It was authored by Huashan Ye and last updated on the figshare platform in April 2026.

Use Cases

• Training machine learning models to predict accident severity based on spatial and contextual factors mentioned in the description
• Analyzing urban-rural heterogeneity in crash outcomes using a spatially segmented framework
• Interpreting risk factor influence across spatial contexts with SHAP analysis for policy design
• Supporting sustainable governance and transport equity research aligned with UN SDGs 3 and 11

Strengths

• Data covers a defined three-year period from 2022 to 2024
• Focus on a specific geographic region (Kent, UK) allows for localized analysis
• Framework treats urban and rural systems as separate analytical units to capture risk heterogeneity
• Released under a permissive CC-BY-4.0 license

Limitations

• Dataset is very small at 5.5 KB, indicating limited scope or a variable list rather than full records
• Row count and column-level documentation are unknown, limiting suitability assessment
• Description metadata is limited; actual data quality and field semantics require manual inspection after download

Provenance

Source

figshare, author Huashan Ye

Collection Method

Likely collected from official transport or police records in Kent, UK, as part of a research study.

Time Range

2022–2024

Freshness

Last updated 2026-04-24 17:52:23; freshness should be verified

Geography

Kent, United Kingdom