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Description
Cambodia's 197 districts provide the geographic scope for this dataset comparing regression models for motorcycle crash frequency in 2019. The study by Yaqiu Li, published on figshare, examines spatial associations between built environment characteristics, climatic factors, and crash counts. It includes results from Ordinary Least Squares, Poisson, Negative Binomial, and Geographically Weighted Negative Binomial regression models.
Use Cases
Compare global and local regression model performance for crash prediction based on the described model comparison.
Analyze spatial patterns of motorcycle crash risk based on the study's focus on spatial autocorrelation and heterogeneity.
Investigate relationships between road infrastructure metrics and crash frequency based on mentioned variables like road length and density.
Study the influence of climatic factors on road safety based on variables such as precipitation and annual rainy days.
Support geographically differentiated safety planning based on the study's evidence for spatially varying association patterns.
Strengths
Focuses on a specific, high-impact problem: motorcycle crashes in a country where they are the dominant transportation mode.
Compares multiple statistical models (OLS, PR, NBR, GWNBR) to identify the best fit for the data.
Analyzes data across 197 districts, providing a sub-national spatial scale for Cambodia.
Released under a permissive CC-BY-4.0 license for reuse.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
The dataset is very small (5.5 KB), suggesting it likely contains model results or summary statistics rather than raw observation-level data.
Provenance
Source
figshare, author Yaqiu Li.
Collection Method
Likely contains aggregated results from a spatial analysis study of crash data, built environment, and climate factors.
Time Range
2019
Freshness
Last updated 2026-04-27 17:46:25; freshness should be verified.
Geography
197 districts in Cambodia
File is in XLS (Excel) format, requiring compatible software to open.