Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4978868 | Accident Analysis & Prevention | 2017 | 11 Pages |
Abstract
The results indicated that higher global integration was associated with more pedestrian-vehicle crashes; the irregular pattern network was proved to be safest in terms of pedestrian crash occurrences, whereas the grid pattern was the least safe; the CAR model with a neighborhood structure based on road network connectivity was found to outperform in model goodness-of-fit, implying the importance of accurately accounting for spatial correlation when modeling spatially aggregated crash data.
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Authors
Qiang Guo, Pengpeng Xu, Xin Pei, S.C. Wong, Danya Yao,