Macro-level pedestrian and bicycle crash analysis: Incorporating spatial spillover effects in dual state count models
This study attempts to explore the viability of dual-state models (i.e., zero-inflated and hurdle models) for traffic analysis zones (TAZs) based pedestrian and bicycle crash frequency analysis. Additionally, spatial spillover effects are explored in the models by employing exogenous variables from...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Cai, Qing [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Rechteinformationen: |
Nutzungsrecht: Copyright © 2016 Elsevier Ltd. All rights reserved. |
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| Übergeordnetes Werk: |
Enthalten in: Accident analysis & prevention - Amsterdam [u.a.] : Elsevier, 1969, 93(2016), Seite 14-22 |
|---|---|
| Übergeordnetes Werk: |
volume:93 ; year:2016 ; pages:14-22 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.aap.2016.04.018 |
|---|
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| 520 | |a This study attempts to explore the viability of dual-state models (i.e., zero-inflated and hurdle models) for traffic analysis zones (TAZs) based pedestrian and bicycle crash frequency analysis. Additionally, spatial spillover effects are explored in the models by employing exogenous variables from neighboring zones. The dual-state models such as zero-inflated negative binomial and hurdle negative binomial models (with and without spatial effects) are compared with the conventional single-state model (i.e., negative binomial). The model comparison for pedestrian and bicycle crashes revealed that the models that considered observed spatial effects perform better than the models that did not consider the observed spatial effects. Across the models with spatial spillover effects, the dual-state models especially zero-inflated negative binomial model offered better performance compared to single-state models. Moreover, the model results clearly highlighted the importance of various traffic, roadway, and sociodemographic characteristics of the TAZ as well as neighboring TAZs on pedestrian and bicycle crash frequency. | ||
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10.1016/j.aap.2016.04.018 doi PQ20160815 (DE-627)OLC1979934304 (DE-599)GBVOLC1979934304 (PRQ)c1302-41c1982d54386119e2715e25fb6201e6501870975786318eb4dd73231fbb1ce00 (KEY)0037621320160000093000000014macrolevelpedestrianandbicyclecrashanalysisincorpo DE-627 ger DE-627 rakwb eng 650 DNB 55.84 bkl 55.24 bkl 44.80 bkl Cai, Qing verfasserin aut Macro-level pedestrian and bicycle crash analysis: Incorporating spatial spillover effects in dual state count models 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This study attempts to explore the viability of dual-state models (i.e., zero-inflated and hurdle models) for traffic analysis zones (TAZs) based pedestrian and bicycle crash frequency analysis. Additionally, spatial spillover effects are explored in the models by employing exogenous variables from neighboring zones. The dual-state models such as zero-inflated negative binomial and hurdle negative binomial models (with and without spatial effects) are compared with the conventional single-state model (i.e., negative binomial). The model comparison for pedestrian and bicycle crashes revealed that the models that considered observed spatial effects perform better than the models that did not consider the observed spatial effects. Across the models with spatial spillover effects, the dual-state models especially zero-inflated negative binomial model offered better performance compared to single-state models. Moreover, the model results clearly highlighted the importance of various traffic, roadway, and sociodemographic characteristics of the TAZ as well as neighboring TAZs on pedestrian and bicycle crash frequency. Nutzungsrecht: Copyright © 2016 Elsevier Ltd. All rights reserved. Lee, Jaeyoung oth Eluru, Naveen oth Abdel-Aty, Mohamed oth Enthalten in Accident analysis & prevention Amsterdam [u.a.] : Elsevier, 1969 93(2016), Seite 14-22 (DE-627)129511188 (DE-600)210223-7 (DE-576)014918552 0001-4575 nnns volume:93 year:2016 pages:14-22 http://dx.doi.org/10.1016/j.aap.2016.04.018 Volltext http://www.ncbi.nlm.nih.gov/pubmed/27153525 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-TEC GBV_ILN_21 GBV_ILN_70 GBV_ILN_4012 55.84 AVZ 55.24 AVZ 44.80 AVZ AR 93 2016 14-22 |
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10.1016/j.aap.2016.04.018 doi PQ20160815 (DE-627)OLC1979934304 (DE-599)GBVOLC1979934304 (PRQ)c1302-41c1982d54386119e2715e25fb6201e6501870975786318eb4dd73231fbb1ce00 (KEY)0037621320160000093000000014macrolevelpedestrianandbicyclecrashanalysisincorpo DE-627 ger DE-627 rakwb eng 650 DNB 55.84 bkl 55.24 bkl 44.80 bkl Cai, Qing verfasserin aut Macro-level pedestrian and bicycle crash analysis: Incorporating spatial spillover effects in dual state count models 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This study attempts to explore the viability of dual-state models (i.e., zero-inflated and hurdle models) for traffic analysis zones (TAZs) based pedestrian and bicycle crash frequency analysis. Additionally, spatial spillover effects are explored in the models by employing exogenous variables from neighboring zones. The dual-state models such as zero-inflated negative binomial and hurdle negative binomial models (with and without spatial effects) are compared with the conventional single-state model (i.e., negative binomial). The model comparison for pedestrian and bicycle crashes revealed that the models that considered observed spatial effects perform better than the models that did not consider the observed spatial effects. Across the models with spatial spillover effects, the dual-state models especially zero-inflated negative binomial model offered better performance compared to single-state models. Moreover, the model results clearly highlighted the importance of various traffic, roadway, and sociodemographic characteristics of the TAZ as well as neighboring TAZs on pedestrian and bicycle crash frequency. Nutzungsrecht: Copyright © 2016 Elsevier Ltd. All rights reserved. Lee, Jaeyoung oth Eluru, Naveen oth Abdel-Aty, Mohamed oth Enthalten in Accident analysis & prevention Amsterdam [u.a.] : Elsevier, 1969 93(2016), Seite 14-22 (DE-627)129511188 (DE-600)210223-7 (DE-576)014918552 0001-4575 nnns volume:93 year:2016 pages:14-22 http://dx.doi.org/10.1016/j.aap.2016.04.018 Volltext http://www.ncbi.nlm.nih.gov/pubmed/27153525 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-TEC GBV_ILN_21 GBV_ILN_70 GBV_ILN_4012 55.84 AVZ 55.24 AVZ 44.80 AVZ AR 93 2016 14-22 |
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10.1016/j.aap.2016.04.018 doi PQ20160815 (DE-627)OLC1979934304 (DE-599)GBVOLC1979934304 (PRQ)c1302-41c1982d54386119e2715e25fb6201e6501870975786318eb4dd73231fbb1ce00 (KEY)0037621320160000093000000014macrolevelpedestrianandbicyclecrashanalysisincorpo DE-627 ger DE-627 rakwb eng 650 DNB 55.84 bkl 55.24 bkl 44.80 bkl Cai, Qing verfasserin aut Macro-level pedestrian and bicycle crash analysis: Incorporating spatial spillover effects in dual state count models 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This study attempts to explore the viability of dual-state models (i.e., zero-inflated and hurdle models) for traffic analysis zones (TAZs) based pedestrian and bicycle crash frequency analysis. Additionally, spatial spillover effects are explored in the models by employing exogenous variables from neighboring zones. The dual-state models such as zero-inflated negative binomial and hurdle negative binomial models (with and without spatial effects) are compared with the conventional single-state model (i.e., negative binomial). The model comparison for pedestrian and bicycle crashes revealed that the models that considered observed spatial effects perform better than the models that did not consider the observed spatial effects. Across the models with spatial spillover effects, the dual-state models especially zero-inflated negative binomial model offered better performance compared to single-state models. Moreover, the model results clearly highlighted the importance of various traffic, roadway, and sociodemographic characteristics of the TAZ as well as neighboring TAZs on pedestrian and bicycle crash frequency. Nutzungsrecht: Copyright © 2016 Elsevier Ltd. All rights reserved. Lee, Jaeyoung oth Eluru, Naveen oth Abdel-Aty, Mohamed oth Enthalten in Accident analysis & prevention Amsterdam [u.a.] : Elsevier, 1969 93(2016), Seite 14-22 (DE-627)129511188 (DE-600)210223-7 (DE-576)014918552 0001-4575 nnns volume:93 year:2016 pages:14-22 http://dx.doi.org/10.1016/j.aap.2016.04.018 Volltext http://www.ncbi.nlm.nih.gov/pubmed/27153525 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-TEC GBV_ILN_21 GBV_ILN_70 GBV_ILN_4012 55.84 AVZ 55.24 AVZ 44.80 AVZ AR 93 2016 14-22 |
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10.1016/j.aap.2016.04.018 doi PQ20160815 (DE-627)OLC1979934304 (DE-599)GBVOLC1979934304 (PRQ)c1302-41c1982d54386119e2715e25fb6201e6501870975786318eb4dd73231fbb1ce00 (KEY)0037621320160000093000000014macrolevelpedestrianandbicyclecrashanalysisincorpo DE-627 ger DE-627 rakwb eng 650 DNB 55.84 bkl 55.24 bkl 44.80 bkl Cai, Qing verfasserin aut Macro-level pedestrian and bicycle crash analysis: Incorporating spatial spillover effects in dual state count models 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier This study attempts to explore the viability of dual-state models (i.e., zero-inflated and hurdle models) for traffic analysis zones (TAZs) based pedestrian and bicycle crash frequency analysis. Additionally, spatial spillover effects are explored in the models by employing exogenous variables from neighboring zones. The dual-state models such as zero-inflated negative binomial and hurdle negative binomial models (with and without spatial effects) are compared with the conventional single-state model (i.e., negative binomial). The model comparison for pedestrian and bicycle crashes revealed that the models that considered observed spatial effects perform better than the models that did not consider the observed spatial effects. Across the models with spatial spillover effects, the dual-state models especially zero-inflated negative binomial model offered better performance compared to single-state models. Moreover, the model results clearly highlighted the importance of various traffic, roadway, and sociodemographic characteristics of the TAZ as well as neighboring TAZs on pedestrian and bicycle crash frequency. Nutzungsrecht: Copyright © 2016 Elsevier Ltd. All rights reserved. Lee, Jaeyoung oth Eluru, Naveen oth Abdel-Aty, Mohamed oth Enthalten in Accident analysis & prevention Amsterdam [u.a.] : Elsevier, 1969 93(2016), Seite 14-22 (DE-627)129511188 (DE-600)210223-7 (DE-576)014918552 0001-4575 nnns volume:93 year:2016 pages:14-22 http://dx.doi.org/10.1016/j.aap.2016.04.018 Volltext http://www.ncbi.nlm.nih.gov/pubmed/27153525 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-TEC GBV_ILN_21 GBV_ILN_70 GBV_ILN_4012 55.84 AVZ 55.24 AVZ 44.80 AVZ AR 93 2016 14-22 |
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Macro-level pedestrian and bicycle crash analysis: Incorporating spatial spillover effects in dual state count models |
| author_sort |
Cai, Qing |
| journal |
Accident analysis & prevention |
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Accident analysis & prevention |
| lang_code |
eng |
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600 - Technology |
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marc |
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2016 |
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txt |
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14 |
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Cai, Qing |
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93 |
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650 DNB 55.84 bkl 55.24 bkl 44.80 bkl |
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Aufsätze |
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Cai, Qing |
| doi_str_mv |
10.1016/j.aap.2016.04.018 |
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650 |
| title_sort |
macro-level pedestrian and bicycle crash analysis: incorporating spatial spillover effects in dual state count models |
| title_auth |
Macro-level pedestrian and bicycle crash analysis: Incorporating spatial spillover effects in dual state count models |
| abstract |
This study attempts to explore the viability of dual-state models (i.e., zero-inflated and hurdle models) for traffic analysis zones (TAZs) based pedestrian and bicycle crash frequency analysis. Additionally, spatial spillover effects are explored in the models by employing exogenous variables from neighboring zones. The dual-state models such as zero-inflated negative binomial and hurdle negative binomial models (with and without spatial effects) are compared with the conventional single-state model (i.e., negative binomial). The model comparison for pedestrian and bicycle crashes revealed that the models that considered observed spatial effects perform better than the models that did not consider the observed spatial effects. Across the models with spatial spillover effects, the dual-state models especially zero-inflated negative binomial model offered better performance compared to single-state models. Moreover, the model results clearly highlighted the importance of various traffic, roadway, and sociodemographic characteristics of the TAZ as well as neighboring TAZs on pedestrian and bicycle crash frequency. |
| abstractGer |
This study attempts to explore the viability of dual-state models (i.e., zero-inflated and hurdle models) for traffic analysis zones (TAZs) based pedestrian and bicycle crash frequency analysis. Additionally, spatial spillover effects are explored in the models by employing exogenous variables from neighboring zones. The dual-state models such as zero-inflated negative binomial and hurdle negative binomial models (with and without spatial effects) are compared with the conventional single-state model (i.e., negative binomial). The model comparison for pedestrian and bicycle crashes revealed that the models that considered observed spatial effects perform better than the models that did not consider the observed spatial effects. Across the models with spatial spillover effects, the dual-state models especially zero-inflated negative binomial model offered better performance compared to single-state models. Moreover, the model results clearly highlighted the importance of various traffic, roadway, and sociodemographic characteristics of the TAZ as well as neighboring TAZs on pedestrian and bicycle crash frequency. |
| abstract_unstemmed |
This study attempts to explore the viability of dual-state models (i.e., zero-inflated and hurdle models) for traffic analysis zones (TAZs) based pedestrian and bicycle crash frequency analysis. Additionally, spatial spillover effects are explored in the models by employing exogenous variables from neighboring zones. The dual-state models such as zero-inflated negative binomial and hurdle negative binomial models (with and without spatial effects) are compared with the conventional single-state model (i.e., negative binomial). The model comparison for pedestrian and bicycle crashes revealed that the models that considered observed spatial effects perform better than the models that did not consider the observed spatial effects. Across the models with spatial spillover effects, the dual-state models especially zero-inflated negative binomial model offered better performance compared to single-state models. Moreover, the model results clearly highlighted the importance of various traffic, roadway, and sociodemographic characteristics of the TAZ as well as neighboring TAZs on pedestrian and bicycle crash frequency. |
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GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-TEC GBV_ILN_21 GBV_ILN_70 GBV_ILN_4012 |
| title_short |
Macro-level pedestrian and bicycle crash analysis: Incorporating spatial spillover effects in dual state count models |
| url |
http://dx.doi.org/10.1016/j.aap.2016.04.018 http://www.ncbi.nlm.nih.gov/pubmed/27153525 |
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false |
| author2 |
Lee, Jaeyoung Eluru, Naveen Abdel-Aty, Mohamed |
| author2Str |
Lee, Jaeyoung Eluru, Naveen Abdel-Aty, Mohamed |
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10.1016/j.aap.2016.04.018 |
| up_date |
2024-07-04T02:01:57.586Z |
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