A Multivariate Spatial-Time of Day Analysis of Truck Crash Frequency across Neighborhoods in New York City

摘要: Abstract To address the safety concerns generated by truck crashes occurred in big cities, this paper analyzes zip code tabulation area (ZCTA)-based crash frequency across four temporal intervals – morning (6:00–10:00), mid-day (10:00–15:00), afternoon (15:00–19:00), and night (19:00–6:00) New York City 2010. A multivariate conditional autoregressive count model is used to recognize both spatial dependences. The results prove presence of dependencies for that neighboring areas. Built environment attributes such as various types business establishment density traffic volume different vehicles, which are important factors consider an urban setting, also examined study.