Analysis of spatial variations in the effectiveness of graduated driver’s licensing (GDL) program in the state of Michigan
Injury resulting from motor vehicle crashes is the leading cause of death among teenagers in the US. Few programs or policies have been found to be effective in reducing the risk of fatal car crashes for young novice drivers. One effective policy that has been widely implemented is Graduated Driver...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Chen, Yu [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014transfer abstract |
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| Schlagwörter: |
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| Umfang: |
12 |
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| Übergeordnetes Werk: |
Enthalten in: Smart scanning and near real-time 3D surface modeling of dynamic construction equipment from a point cloud - Wang, Chao ELSEVIER, 2015transfer abstract, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:8 ; year:2014 ; pages:11-22 ; extent:12 |
| Links: |
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| DOI / URN: |
10.1016/j.sste.2013.12.001 |
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ELV039345890 |
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| 520 | |a Injury resulting from motor vehicle crashes is the leading cause of death among teenagers in the US. Few programs or policies have been found to be effective in reducing the risk of fatal car crashes for young novice drivers. One effective policy that has been widely implemented is Graduated Driver Licensing (GDL). Published articles have mostly reported on the temporal effectiveness of GDL in the US. This article reports on the development of spatial statistical modeling approaches to evaluate and compare the effectiveness of GDL policy across eighty-three counties in the state of Michigan. Data were gathered from several publicly available databases, including the US Fatality Analysis Reporting System (FARS), US Census Bureau, US Bureau of Labor Statistics, and US Department of Agriculture. | ||
| 520 | |a Injury resulting from motor vehicle crashes is the leading cause of death among teenagers in the US. Few programs or policies have been found to be effective in reducing the risk of fatal car crashes for young novice drivers. One effective policy that has been widely implemented is Graduated Driver Licensing (GDL). Published articles have mostly reported on the temporal effectiveness of GDL in the US. This article reports on the development of spatial statistical modeling approaches to evaluate and compare the effectiveness of GDL policy across eighty-three counties in the state of Michigan. Data were gathered from several publicly available databases, including the US Fatality Analysis Reporting System (FARS), US Census Bureau, US Bureau of Labor Statistics, and US Department of Agriculture. | ||
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10.1016/j.sste.2013.12.001 doi GBVA2014011000005.pica (DE-627)ELV039345890 (ELSEVIER)S1877-5845(13)00054-3 DE-627 ger DE-627 rakwb eng 610 610 DE-600 690 VZ 570 VZ BIODIV DE-30 fid 44.00 bkl Chen, Yu verfasserin aut Analysis of spatial variations in the effectiveness of graduated driver’s licensing (GDL) program in the state of Michigan 2014transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Injury resulting from motor vehicle crashes is the leading cause of death among teenagers in the US. Few programs or policies have been found to be effective in reducing the risk of fatal car crashes for young novice drivers. One effective policy that has been widely implemented is Graduated Driver Licensing (GDL). Published articles have mostly reported on the temporal effectiveness of GDL in the US. This article reports on the development of spatial statistical modeling approaches to evaluate and compare the effectiveness of GDL policy across eighty-three counties in the state of Michigan. Data were gathered from several publicly available databases, including the US Fatality Analysis Reporting System (FARS), US Census Bureau, US Bureau of Labor Statistics, and US Department of Agriculture. Injury resulting from motor vehicle crashes is the leading cause of death among teenagers in the US. Few programs or policies have been found to be effective in reducing the risk of fatal car crashes for young novice drivers. One effective policy that has been widely implemented is Graduated Driver Licensing (GDL). Published articles have mostly reported on the temporal effectiveness of GDL in the US. This article reports on the development of spatial statistical modeling approaches to evaluate and compare the effectiveness of GDL policy across eighty-three counties in the state of Michigan. Data were gathered from several publicly available databases, including the US Fatality Analysis Reporting System (FARS), US Census Bureau, US Bureau of Labor Statistics, and US Department of Agriculture. Contextual variable Elsevier Bayesian hierarchical model Elsevier Conditionally AutoRegressive (CAR) model Elsevier Death Elsevier Markov Chain Monte Carlo Elsevier Spatial random effects Elsevier Berrocal, Veronica J. oth Raymond Bingham, C. oth Song, Peter X.K. oth Enthalten in Elsevier Wang, Chao ELSEVIER Smart scanning and near real-time 3D surface modeling of dynamic construction equipment from a point cloud 2015transfer abstract Amsterdam [u.a.] (DE-627)ELV018623689 volume:8 year:2014 pages:11-22 extent:12 https://doi.org/10.1016/j.sste.2013.12.001 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_11 GBV_ILN_21 GBV_ILN_22 GBV_ILN_24 GBV_ILN_40 GBV_ILN_121 44.00 Medizin: Allgemeines VZ AR 8 2014 11-22 12 045F 610 |
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10.1016/j.sste.2013.12.001 doi GBVA2014011000005.pica (DE-627)ELV039345890 (ELSEVIER)S1877-5845(13)00054-3 DE-627 ger DE-627 rakwb eng 610 610 DE-600 690 VZ 570 VZ BIODIV DE-30 fid 44.00 bkl Chen, Yu verfasserin aut Analysis of spatial variations in the effectiveness of graduated driver’s licensing (GDL) program in the state of Michigan 2014transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Injury resulting from motor vehicle crashes is the leading cause of death among teenagers in the US. Few programs or policies have been found to be effective in reducing the risk of fatal car crashes for young novice drivers. One effective policy that has been widely implemented is Graduated Driver Licensing (GDL). Published articles have mostly reported on the temporal effectiveness of GDL in the US. This article reports on the development of spatial statistical modeling approaches to evaluate and compare the effectiveness of GDL policy across eighty-three counties in the state of Michigan. Data were gathered from several publicly available databases, including the US Fatality Analysis Reporting System (FARS), US Census Bureau, US Bureau of Labor Statistics, and US Department of Agriculture. Injury resulting from motor vehicle crashes is the leading cause of death among teenagers in the US. Few programs or policies have been found to be effective in reducing the risk of fatal car crashes for young novice drivers. One effective policy that has been widely implemented is Graduated Driver Licensing (GDL). Published articles have mostly reported on the temporal effectiveness of GDL in the US. This article reports on the development of spatial statistical modeling approaches to evaluate and compare the effectiveness of GDL policy across eighty-three counties in the state of Michigan. Data were gathered from several publicly available databases, including the US Fatality Analysis Reporting System (FARS), US Census Bureau, US Bureau of Labor Statistics, and US Department of Agriculture. Contextual variable Elsevier Bayesian hierarchical model Elsevier Conditionally AutoRegressive (CAR) model Elsevier Death Elsevier Markov Chain Monte Carlo Elsevier Spatial random effects Elsevier Berrocal, Veronica J. oth Raymond Bingham, C. oth Song, Peter X.K. oth Enthalten in Elsevier Wang, Chao ELSEVIER Smart scanning and near real-time 3D surface modeling of dynamic construction equipment from a point cloud 2015transfer abstract Amsterdam [u.a.] (DE-627)ELV018623689 volume:8 year:2014 pages:11-22 extent:12 https://doi.org/10.1016/j.sste.2013.12.001 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_11 GBV_ILN_21 GBV_ILN_22 GBV_ILN_24 GBV_ILN_40 GBV_ILN_121 44.00 Medizin: Allgemeines VZ AR 8 2014 11-22 12 045F 610 |
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10.1016/j.sste.2013.12.001 doi GBVA2014011000005.pica (DE-627)ELV039345890 (ELSEVIER)S1877-5845(13)00054-3 DE-627 ger DE-627 rakwb eng 610 610 DE-600 690 VZ 570 VZ BIODIV DE-30 fid 44.00 bkl Chen, Yu verfasserin aut Analysis of spatial variations in the effectiveness of graduated driver’s licensing (GDL) program in the state of Michigan 2014transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Injury resulting from motor vehicle crashes is the leading cause of death among teenagers in the US. Few programs or policies have been found to be effective in reducing the risk of fatal car crashes for young novice drivers. One effective policy that has been widely implemented is Graduated Driver Licensing (GDL). Published articles have mostly reported on the temporal effectiveness of GDL in the US. This article reports on the development of spatial statistical modeling approaches to evaluate and compare the effectiveness of GDL policy across eighty-three counties in the state of Michigan. Data were gathered from several publicly available databases, including the US Fatality Analysis Reporting System (FARS), US Census Bureau, US Bureau of Labor Statistics, and US Department of Agriculture. Injury resulting from motor vehicle crashes is the leading cause of death among teenagers in the US. Few programs or policies have been found to be effective in reducing the risk of fatal car crashes for young novice drivers. One effective policy that has been widely implemented is Graduated Driver Licensing (GDL). Published articles have mostly reported on the temporal effectiveness of GDL in the US. This article reports on the development of spatial statistical modeling approaches to evaluate and compare the effectiveness of GDL policy across eighty-three counties in the state of Michigan. Data were gathered from several publicly available databases, including the US Fatality Analysis Reporting System (FARS), US Census Bureau, US Bureau of Labor Statistics, and US Department of Agriculture. Contextual variable Elsevier Bayesian hierarchical model Elsevier Conditionally AutoRegressive (CAR) model Elsevier Death Elsevier Markov Chain Monte Carlo Elsevier Spatial random effects Elsevier Berrocal, Veronica J. oth Raymond Bingham, C. oth Song, Peter X.K. oth Enthalten in Elsevier Wang, Chao ELSEVIER Smart scanning and near real-time 3D surface modeling of dynamic construction equipment from a point cloud 2015transfer abstract Amsterdam [u.a.] (DE-627)ELV018623689 volume:8 year:2014 pages:11-22 extent:12 https://doi.org/10.1016/j.sste.2013.12.001 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_11 GBV_ILN_21 GBV_ILN_22 GBV_ILN_24 GBV_ILN_40 GBV_ILN_121 44.00 Medizin: Allgemeines VZ AR 8 2014 11-22 12 045F 610 |
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10.1016/j.sste.2013.12.001 doi GBVA2014011000005.pica (DE-627)ELV039345890 (ELSEVIER)S1877-5845(13)00054-3 DE-627 ger DE-627 rakwb eng 610 610 DE-600 690 VZ 570 VZ BIODIV DE-30 fid 44.00 bkl Chen, Yu verfasserin aut Analysis of spatial variations in the effectiveness of graduated driver’s licensing (GDL) program in the state of Michigan 2014transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Injury resulting from motor vehicle crashes is the leading cause of death among teenagers in the US. Few programs or policies have been found to be effective in reducing the risk of fatal car crashes for young novice drivers. One effective policy that has been widely implemented is Graduated Driver Licensing (GDL). Published articles have mostly reported on the temporal effectiveness of GDL in the US. This article reports on the development of spatial statistical modeling approaches to evaluate and compare the effectiveness of GDL policy across eighty-three counties in the state of Michigan. Data were gathered from several publicly available databases, including the US Fatality Analysis Reporting System (FARS), US Census Bureau, US Bureau of Labor Statistics, and US Department of Agriculture. Injury resulting from motor vehicle crashes is the leading cause of death among teenagers in the US. Few programs or policies have been found to be effective in reducing the risk of fatal car crashes for young novice drivers. One effective policy that has been widely implemented is Graduated Driver Licensing (GDL). Published articles have mostly reported on the temporal effectiveness of GDL in the US. This article reports on the development of spatial statistical modeling approaches to evaluate and compare the effectiveness of GDL policy across eighty-three counties in the state of Michigan. Data were gathered from several publicly available databases, including the US Fatality Analysis Reporting System (FARS), US Census Bureau, US Bureau of Labor Statistics, and US Department of Agriculture. Contextual variable Elsevier Bayesian hierarchical model Elsevier Conditionally AutoRegressive (CAR) model Elsevier Death Elsevier Markov Chain Monte Carlo Elsevier Spatial random effects Elsevier Berrocal, Veronica J. oth Raymond Bingham, C. oth Song, Peter X.K. oth Enthalten in Elsevier Wang, Chao ELSEVIER Smart scanning and near real-time 3D surface modeling of dynamic construction equipment from a point cloud 2015transfer abstract Amsterdam [u.a.] (DE-627)ELV018623689 volume:8 year:2014 pages:11-22 extent:12 https://doi.org/10.1016/j.sste.2013.12.001 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_11 GBV_ILN_21 GBV_ILN_22 GBV_ILN_24 GBV_ILN_40 GBV_ILN_121 44.00 Medizin: Allgemeines VZ AR 8 2014 11-22 12 045F 610 |
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10.1016/j.sste.2013.12.001 doi GBVA2014011000005.pica (DE-627)ELV039345890 (ELSEVIER)S1877-5845(13)00054-3 DE-627 ger DE-627 rakwb eng 610 610 DE-600 690 VZ 570 VZ BIODIV DE-30 fid 44.00 bkl Chen, Yu verfasserin aut Analysis of spatial variations in the effectiveness of graduated driver’s licensing (GDL) program in the state of Michigan 2014transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Injury resulting from motor vehicle crashes is the leading cause of death among teenagers in the US. Few programs or policies have been found to be effective in reducing the risk of fatal car crashes for young novice drivers. One effective policy that has been widely implemented is Graduated Driver Licensing (GDL). Published articles have mostly reported on the temporal effectiveness of GDL in the US. This article reports on the development of spatial statistical modeling approaches to evaluate and compare the effectiveness of GDL policy across eighty-three counties in the state of Michigan. Data were gathered from several publicly available databases, including the US Fatality Analysis Reporting System (FARS), US Census Bureau, US Bureau of Labor Statistics, and US Department of Agriculture. Injury resulting from motor vehicle crashes is the leading cause of death among teenagers in the US. Few programs or policies have been found to be effective in reducing the risk of fatal car crashes for young novice drivers. One effective policy that has been widely implemented is Graduated Driver Licensing (GDL). Published articles have mostly reported on the temporal effectiveness of GDL in the US. This article reports on the development of spatial statistical modeling approaches to evaluate and compare the effectiveness of GDL policy across eighty-three counties in the state of Michigan. Data were gathered from several publicly available databases, including the US Fatality Analysis Reporting System (FARS), US Census Bureau, US Bureau of Labor Statistics, and US Department of Agriculture. Contextual variable Elsevier Bayesian hierarchical model Elsevier Conditionally AutoRegressive (CAR) model Elsevier Death Elsevier Markov Chain Monte Carlo Elsevier Spatial random effects Elsevier Berrocal, Veronica J. oth Raymond Bingham, C. oth Song, Peter X.K. oth Enthalten in Elsevier Wang, Chao ELSEVIER Smart scanning and near real-time 3D surface modeling of dynamic construction equipment from a point cloud 2015transfer abstract Amsterdam [u.a.] (DE-627)ELV018623689 volume:8 year:2014 pages:11-22 extent:12 https://doi.org/10.1016/j.sste.2013.12.001 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_11 GBV_ILN_21 GBV_ILN_22 GBV_ILN_24 GBV_ILN_40 GBV_ILN_121 44.00 Medizin: Allgemeines VZ AR 8 2014 11-22 12 045F 610 |
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Smart scanning and near real-time 3D surface modeling of dynamic construction equipment from a point cloud |
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Analysis of spatial variations in the effectiveness of graduated driver’s licensing (GDL) program in the state of Michigan |
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Injury resulting from motor vehicle crashes is the leading cause of death among teenagers in the US. Few programs or policies have been found to be effective in reducing the risk of fatal car crashes for young novice drivers. One effective policy that has been widely implemented is Graduated Driver Licensing (GDL). Published articles have mostly reported on the temporal effectiveness of GDL in the US. This article reports on the development of spatial statistical modeling approaches to evaluate and compare the effectiveness of GDL policy across eighty-three counties in the state of Michigan. Data were gathered from several publicly available databases, including the US Fatality Analysis Reporting System (FARS), US Census Bureau, US Bureau of Labor Statistics, and US Department of Agriculture. |
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Injury resulting from motor vehicle crashes is the leading cause of death among teenagers in the US. Few programs or policies have been found to be effective in reducing the risk of fatal car crashes for young novice drivers. One effective policy that has been widely implemented is Graduated Driver Licensing (GDL). Published articles have mostly reported on the temporal effectiveness of GDL in the US. This article reports on the development of spatial statistical modeling approaches to evaluate and compare the effectiveness of GDL policy across eighty-three counties in the state of Michigan. Data were gathered from several publicly available databases, including the US Fatality Analysis Reporting System (FARS), US Census Bureau, US Bureau of Labor Statistics, and US Department of Agriculture. |
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Injury resulting from motor vehicle crashes is the leading cause of death among teenagers in the US. Few programs or policies have been found to be effective in reducing the risk of fatal car crashes for young novice drivers. One effective policy that has been widely implemented is Graduated Driver Licensing (GDL). Published articles have mostly reported on the temporal effectiveness of GDL in the US. This article reports on the development of spatial statistical modeling approaches to evaluate and compare the effectiveness of GDL policy across eighty-three counties in the state of Michigan. Data were gathered from several publicly available databases, including the US Fatality Analysis Reporting System (FARS), US Census Bureau, US Bureau of Labor Statistics, and US Department of Agriculture. |
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Analysis of spatial variations in the effectiveness of graduated driver’s licensing (GDL) program in the state of Michigan |
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