Bahar Dadashova

Personal Details

First Name:	Bahar
Middle Name:
Last Name:	Dadashova
Suffix:
RePEc Short-ID:	pda641
	[This author has chosen not to make the email address public]

Affiliation

Universidad Politécnica de Madrid, Instituto Universitario de Investigación del Automóvil (INSIA)

http://www.insia-upm.es
Spain, Madrid

Citations

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Articles

1. Dadashova, Bahar & Ramírez Arenas, Blanca & McWilliams Mira, José & Izquierdo Aparicio, Francisco, 2014. "Explanatory and prediction power of two macro models. An application to van-involved accidents in Spain," Transport Policy, Elsevier, vol. 32(C), pages 203-217.

   Cited by:

   1. Dadashova, Bahar & Li, Xiao & Turner, Shawn & Koeneman, Pete, 2021. "Multivariate time series analysis of traffic congestion measures in urban areas as they relate to socioeconomic indicators," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
   2. Castillo-Manzano, José I. & Castro-Nuño, Mercedes & Lopez-Valpuesta, Lourdes, 2024. "Planning traffic surveillance in Spain: How to optimize the management of police resources to reduce road fatalities," Evaluation and Program Planning, Elsevier, vol. 102(C).
   3. Sajjakaj Jomnonkwao & Savalee Uttra & Vatanavongs Ratanavaraha, 2020. "Forecasting Road Traffic Deaths in Thailand: Applications of Time-Series, Curve Estimation, Multiple Linear Regression, and Path Analysis Models," Sustainability, MDPI, vol. 12(1), pages 1-17, January.
   4. Borsati, Mattia & Cascarano, Michele & Bazzana, Flavio, 2019. "On the impact of average speed enforcement systems in reducing highway accidents: Evidence from the Italian Safety Tutor," Economics of Transportation, Elsevier, vol. 20(C).
   5. Giovanny Pillajo-Quijia & Blanca Arenas-Ramírez & Camino González-Fernández & Francisco Aparicio-Izquierdo, 2020. "Influential Factors on Injury Severity for Drivers of Light Trucks and Vans with Machine Learning Methods," Sustainability, MDPI, vol. 12(4), pages 1-28, February.

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