Modeling the impact of the COVID-19 pandemic on speeding at rural roadway facilities in Maine using short-term speed and traffic count data.

Shahlaee, Amir; Shirazi, Mohammadali; Marshall, Ennis; Ivan, John N

Shahlaee, Amir; Shirazi, Mohammadali; Marshall, Ennis; Ivan, John N.

Afiliación

Shahlaee A; Department of Civil and Environmental Engineering, University of Maine, Orono, ME 04469, United States. Electronic address: amirhossein.shahlaeegilan@maine.edu.
Shirazi M; Department of Civil and Environmental Engineering, University of Maine, Orono, ME 04469, United States. Electronic address: shirazi@maine.edu.
Marshall E; Department of Civil and Environmental Engineering, University of Maine, Orono, ME 04469, United States. Electronic address: ennis.marshall@maine.edu.
Ivan JN; Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT 06269, United States. Electronic address: john.ivan@uconn.edu.

Accid Anal Prev ; 177: 106828, 2022 Nov.

Article en En | MEDLINE | ID: mdl-36126400

Asunto(s)

Conducción de Automóvil; COVID-19; Accidentes de Tránsito/prevención & control; COVID-19/epidemiología; COVID-19/prevención & control; Humanos; Maine/epidemiología; Pandemias; Población Rural

Palabras clave

Binomial response; COVID-19; Mixed effect binomial model; Speeding; Statistical modeling

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Conducción de Automóvil / COVID-19 Tipo de estudio: Risk_factors_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Accid Anal Prev Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido

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