Motorcycle Crash Statistics Across 197 Cambodian Districts in 2019

Cambodia's 197 districts provide the geographic scope for this dataset of motorcycle crash frequency and associated environmental factors from 2019. The data was used to compare spatial regression models, including Geographically Weighted Negative Binomial Regression, by author Yaqiu Li. It was last updated on April 27, 2026, and is shared under a CC-BY-4.0 license.

Use Cases

• Modeling spatial heterogeneity in crash frequency based on the described geographically weighted regression approach.
• Analyzing associations between road infrastructure (e.g., road length, density) and motorcycle crashes as mentioned in the description.
• Investigating the relationship between climatic factors (e.g., precipitation, rainy days) and crash rates across districts.
• Comparing global regression models (OLS, Poisson) against local spatial models for crash data analysis.

Strengths

• Explicitly covers 197 districts in Cambodia for the year 2019.
• Includes variables for built environment characteristics and climatic factors as described.
• Data is small (5.5 KB), facilitating quick inspection and download.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's 5.5 KB size suggests it contains summary statistics, not raw incident records.

Provenance

Source

figshare, authored by Yaqiu Li.

Collection Method

Likely compiled from official crash records and geographic information systems for spatial analysis.

Time Range

2019

Freshness

Last updated 2026-04-27 17:46:22; freshness should be verified.

Geography

197 districts in Cambodia