Comparative Analysis of the Reported Animal-Vehicle Collisions Data and Carcass Removal Data for Hotspot Identification
Joint Authors
Wang, Yinhai
Zou, Yajie
Peng, Yichuan
Yang, Xiaoxue
Zhong, Xinzhi
Ijaz, Muhammad
Wu, Lingtao
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-01
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Two common types of animal-vehicle collision data (reported animal-vehicle collision (AVC) data and carcass removal data) are usually recorded by transportation management agencies.
Previous studies have found that these two datasets often demonstrate different characteristics.
To accurately identify the higher-risk animal-vehicle collision sites, this study compared the differences in hotspot identification and the effect of explanation variables between carcass removal and reported AVCs.
To complete the objective, both the Negative Binomial (NB) model and the generalized Negative Binomial (GNB) are applied in calculating the Empirical Bayesian (EB) estimates using the animal collision data collected on ten highways in Washington State.
The important findings can be summarized as follows.
(1) The explanatory variables have different effects on the occurrence of carcass removal data and reported AVC data.
(2) The ranking results from EB estimates when using carcass removal data and reported AVC data differ significantly.
(3) The results of hotspot identification are different between carcass removal data and reported AVC data.
However, the ranking results of GNB models are better than those of NB models in terms of consistency.
Thus, transportation management agencies should be cautious when using either carcass removal data or reported AVC data to identify hotspots.
American Psychological Association (APA)
Yang, Xiaoxue& Zou, Yajie& Wu, Lingtao& Zhong, Xinzhi& Wang, Yinhai& Ijaz, Muhammad…[et al.]. 2019. Comparative Analysis of the Reported Animal-Vehicle Collisions Data and Carcass Removal Data for Hotspot Identification. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1169759
Modern Language Association (MLA)
Yang, Xiaoxue…[et al.]. Comparative Analysis of the Reported Animal-Vehicle Collisions Data and Carcass Removal Data for Hotspot Identification. Journal of Advanced Transportation No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1169759
American Medical Association (AMA)
Yang, Xiaoxue& Zou, Yajie& Wu, Lingtao& Zhong, Xinzhi& Wang, Yinhai& Ijaz, Muhammad…[et al.]. Comparative Analysis of the Reported Animal-Vehicle Collisions Data and Carcass Removal Data for Hotspot Identification. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1169759
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169759