Comparative Analysis of the Reported Animal-Vehicle Collisions Data and Carcass Removal Data for Hotspot Identification
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 identif...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2019/3521793 |
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| _version_ | 1832568215159439360 |
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| author | Xiaoxue Yang Yajie Zou Lingtao Wu Xinzhi Zhong Yinhai Wang Muhammad Ijaz Yichuan Peng |
| author_facet | Xiaoxue Yang Yajie Zou Lingtao Wu Xinzhi Zhong Yinhai Wang Muhammad Ijaz Yichuan Peng |
| author_sort | Xiaoxue Yang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-5c562b5fa6e44d0b8562270d0ed86f25 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-5c562b5fa6e44d0b8562270d0ed86f252025-02-03T00:59:29ZengWileyJournal of Advanced Transportation0197-67292042-31952019-01-01201910.1155/2019/35217933521793Comparative Analysis of the Reported Animal-Vehicle Collisions Data and Carcass Removal Data for Hotspot IdentificationXiaoxue Yang0Yajie Zou1Lingtao Wu2Xinzhi Zhong3Yinhai Wang4Muhammad Ijaz5Yichuan Peng6Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, ChinaTexas A&M Transportation Institute 3135 TAMU, College Station, Texas 77843-3135, USAKey Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, ChinaDepartment of Civil and Environmental Engineering, University of Washington, Washington More Hall 133B, USAKey Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, ChinaKey Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, ChinaTwo 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.http://dx.doi.org/10.1155/2019/3521793 |
| spellingShingle | Xiaoxue Yang Yajie Zou Lingtao Wu Xinzhi Zhong Yinhai Wang Muhammad Ijaz Yichuan Peng Comparative Analysis of the Reported Animal-Vehicle Collisions Data and Carcass Removal Data for Hotspot Identification Journal of Advanced Transportation |
| title | Comparative Analysis of the Reported Animal-Vehicle Collisions Data and Carcass Removal Data for Hotspot Identification |
| title_full | Comparative Analysis of the Reported Animal-Vehicle Collisions Data and Carcass Removal Data for Hotspot Identification |
| title_fullStr | Comparative Analysis of the Reported Animal-Vehicle Collisions Data and Carcass Removal Data for Hotspot Identification |
| title_full_unstemmed | Comparative Analysis of the Reported Animal-Vehicle Collisions Data and Carcass Removal Data for Hotspot Identification |
| title_short | Comparative Analysis of the Reported Animal-Vehicle Collisions Data and Carcass Removal Data for Hotspot Identification |
| title_sort | comparative analysis of the reported animal vehicle collisions data and carcass removal data for hotspot identification |
| url | http://dx.doi.org/10.1155/2019/3521793 |
| work_keys_str_mv | AT xiaoxueyang comparativeanalysisofthereportedanimalvehiclecollisionsdataandcarcassremovaldataforhotspotidentification AT yajiezou comparativeanalysisofthereportedanimalvehiclecollisionsdataandcarcassremovaldataforhotspotidentification AT lingtaowu comparativeanalysisofthereportedanimalvehiclecollisionsdataandcarcassremovaldataforhotspotidentification AT xinzhizhong comparativeanalysisofthereportedanimalvehiclecollisionsdataandcarcassremovaldataforhotspotidentification AT yinhaiwang comparativeanalysisofthereportedanimalvehiclecollisionsdataandcarcassremovaldataforhotspotidentification AT muhammadijaz comparativeanalysisofthereportedanimalvehiclecollisionsdataandcarcassremovaldataforhotspotidentification AT yichuanpeng comparativeanalysisofthereportedanimalvehiclecollisionsdataandcarcassremovaldataforhotspotidentification |