Big data analytics in traffic and transportation engineering : emerging research and opportunities

Sara Moridpour (RMIT University, Australia), Alireza Toran Pour (RMIT University, Australia), Tayebeh Saghapour (RMIT University, Australia)

"This book identifies the factors contributing to the severity of vehicle-pedestrian crashes at mid-blocks. It examines the influence of the socioeconomic factors of the neighborhoods where road users live (residency neighborhood) and where crashes occur (crash neighborhood) on vehicle-pedestrian crash severity, while controlling for the influences of roadway, road user, vehicle and environmental factors"--Provided by publisher.

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Year of publication:	[2019]
Authors:	Moridpour, Sara ; Pour, Alireza Toran ; Saghapour, Tayebeh
Publisher:	Hershey, Pennsylvania : IGI Global
Subject:	Data Mining \| Data mining \| Big Data \| Big data

Extent:	1 Online-Ressource (188 Seiten)
Series:	Advances in civil and industrial engineering (ACIE) book series
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references and index. - Description based on title screen (IGI Global, viewed 01/08/2019)
ISBN:	978-1-5225-7944-1 ; 978-1-5225-7943-4
Other identifiers:	10.4018/978-1-5225-7943-4 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012393625