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

Abstract

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

Citation

Zou, W., Wang, X. and Wang, Y. (2016), "A Multivariate Spatial-Time of Day Analysis of Truck Crash Frequency across Neighborhoods in New York City", Spatial Econometrics: Qualitative and Limited Dependent Variables (Advances in Econometrics, Vol. 37), Emerald Group Publishing Limited, Leeds, pp. 195-219. https://doi.org/10.1108/S0731-905320160000037015