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Title: A Heckman selection model for the safety analysis of signalized intersections
Authors: Xu, Xuecai
Wong, S. C.
Zhu, Feng
Pei, Xin
Huang, Helai
Liu, Youjun
Keywords: Heckman Selection Model
Issue Date: 2017
Source: Xu, X., Wong, S. C., Zhu, F., Pei, X., Huang, H., & Liu, Y. (2017). A Heckman selection model for the safety analysis of signalized intersections. PLOS ONE, 12(7), e0181544-.
Series/Report no.: PLOS ONE
Abstract: Purpose: The objective of this paper is to provide a new method for estimating crash rate and severity simultaneously. Methods: This study explores a Heckman selection model of the crash rate and severity simultaneously at different levels and a two-step procedure is used to investigate the crash rate and severity levels. The first step uses a probit regression model to determine the sample selection process, and the second step develops a multiple regression model to simultaneously evaluate the crash rate and severity for slight injury/kill or serious injury (KSI), respectively. The model uses 555 observations from 262 signalized intersections in the Hong Kong metropolitan area, integrated with information on the traffic flow, geometric road design, road environment, traffic control and any crashes that occurred during two years. Results: The results of the proposed two-step Heckman selection model illustrate the necessity of different crash rates for different crash severity levels. Conclusions: A comparison with the existing approaches suggests that the Heckman selection model offers an efficient and convenient alternative method for evaluating the safety performance at signalized intersections.
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0181544
Rights: © 2017 Xu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CEE Journal Articles

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