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

Wei Zou, Xiaokun Wang and Yiyi Wang

A chapter in Spatial Econometrics: Qualitative and Limited Dependent Variables, 2016, vol. 37, pp 195-219 from Emerald Group Publishing Limited

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.

Keywords: Truck accidents; spatial dependency; time of day effect; count data model; bayesian estimation; C5 (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:eme:aecozz:s0731-905320160000037015

DOI: 10.1108/S0731-905320160000037015

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