Spatial heterogeneity analysis of macro-level crashes using geographically weighted Poisson quantile regression

2020/10/22 by Jinjun Tang, Fan Gao, Fang Liu +2 · 45 citations
Engineering · Environmental Science · Mathematics · Social Sciences · #Air Quality and Health Impacts #Computer science #Crash #Distribution (mathematics) #Econometrics #Macro #Mathematics #Poisson distribution #Poisson regression #Population #Quantile #Quantile regression #Regression analysis #Spatial heterogeneity #Statistics #Traffic and Road Safety #Urban Transport and Accessibility #Variable (mathematics)

paper · doi:10.1016/j.aap.2020.105833

published in Accident Analysis & Prevention 148, 105833 (Elsevier BV)

openalex publication_date 2020/10/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/26

Citations

• Do safety performance functions used for predicting crash frequency vary across space? Applying geographically weighted regressions to account for spatial heterogeneity
• Изменение относительных цен в отраслях в условиях повышения общего уровня цен
• NOTES ON CONTINUOUS STOCHASTIC PHENOMENA

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