Comparative Analysis of the Reported Animal-Vehicle Collisions Data and Carcass Removal Data for Hotspot Identification
المؤلفون المشاركون
Wang, Yinhai
Zou, Yajie
Peng, Yichuan
Yang, Xiaoxue
Zhong, Xinzhi
Ijaz, Muhammad
Wu, Lingtao
المصدر
Journal of Advanced Transportation
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-04-01
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1169759
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر