Moran's Index and VIF for Motorcycle Crash Variables Across 197 Cambodian Districts, 2019

197 districts in Cambodia are represented in this dataset containing Moran's Index and Variance Inflation Factor (VIF) values for variables related to motorcycle crash frequency in 2019. The data was authored by Yaqiu Li and last updated on figshare in April 2026. It supports an analysis of spatial associations between built environment characteristics, climatic factors, and crash rates.

Use Cases

• Assessing spatial autocorrelation in crash data based on the reported Moran's Index values.
• Evaluating multicollinearity among predictors for crash frequency models based on the VIF values.
• Comparing global and local regression model performance for spatially heterogeneous relationships described in the study.
• Identifying districts where variables like road length or precipitation show consistent positive or negative associations with crashes.

Strengths

• Data is focused on a specific geography and year, covering 197 districts in Cambodia for 2019.
• The dataset is derived from a study that compared multiple regression models, including Geographically Weighted Negative Binomial Regression.
• It is openly licensed under CC-BY-4.0 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 at 5.5 KB, indicating limited scope, likely containing only summary statistics.

Provenance

Source

figshare, authored by Yaqiu Li.

Collection Method

Derived from a spatial analysis study of motorcycle crash frequency.

Time Range

2019

Freshness

Last updated 2026-04-27 17:46:24; freshness should be verified.

Geography

197 districts in Cambodia