Exploring the determinants of pedestrian–vehicle crash severity in New York City

► Developed a random parameter model for understanding pedestrian–vehicle crash severity. ► Modeling was conducted at both the aggregate and disaggregate borough level. ► Socio-demographic, land use, traffic and built environment variables are included in the modeling process. ► Policy and engineeri...

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Bibliographic Details
Published in:	Accident analysis and prevention Vol. 50; pp. 1298 - 1309
Main Authors:	Aziz, H.M. Abdul, Ukkusuri, Satish V., Hasan, Samiul
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 01.01.2013 Elsevier
Subjects:	Accidents, Traffic - mortality Accidents, Traffic - statistics & numerical data Biological and medical sciences Built environment Chi-Square Distribution Crashes Environment. Living conditions Female Heterogeneity Humans Injury Severity Score Land use Lanes Likelihood Functions Male Mathematical models Medical sciences Military technology Miscellaneous New York City New York City - epidemiology Pedestrian–vehicle crashes Prevention and actions Public health. Hygiene Public health. Hygiene-occupational medicine Quality Random parameter model Risk Factors Roads Severity modeling Walking - injuries Wounds and Injuries - epidemiology Wounds and Injuries - mortality New York United States North America America New York City USA, New York, New York City New York City Random parameter model Pedestrian–vehicle crashes Built environment Severity modeling Pedestrian-vehicle crashes Urban environment Vehicle driving Determinant Pedestrian Traffic accident Modeling Health and environment Urbanization Models
ISSN:	0001-4575, 1879-2057, 1879-2057
Online Access:	Get full text
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