Revisiting crash spatial heterogeneity: A Bayesian spatially varying coefficients approach

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• 作者：Pengpeng Xu^a ; Helai Huang^b ; ^{huanghelai@csu.edu.cn} ; Ni Dong^c ; S.C. Wong^a
• 关键词：Crash frequency ; Spatial heterogeneity ; Unobserved heterogeneity ; Conditional autoregressive prior ; Bayesian inference
• 刊名：Accident Analysis & Prevention
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：98
• 期：Complete
• 页码：330-337
• 全文大小：1132 K
• 卷排序：98

文摘

A BSVC model was developed to account for the crash spatial heterogeneity. Ignoring spatially structured heterogeneity may produce biased parameter estimates. Assuming regression slopes as spatially clustered only may induce over smoothness.