nach der Bestellung gedruckt Neuware - Printed after ordering - Recent research reveals that socioeconomic factors of the neighborhoods where road users live and where pedestrian-vehicle crashes occur are important in determining the severity of the crashes, with the former having a greater influence. Hence, road safety countermeasures, especially those focusing on the road users, should be targeted at these high risk neighborhoods. Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities is an essential reference source that discusses access to transportation and examines vehicle-pedestrian crashes, specifically in relation to socioeconomic factors that influence them, main predictors, factors that contribute to crash severity, and the enhancement of pedestrian safety measures. Featuring research on topics such as public transport, accessibility, and spatial distribution, this book is ideally designed for policymakers, transportation engineers, road safety designers, transport planners and managers, professionals, academicians, researchers, and public administrators.

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Bibliographic Details

Title: Big Data Analytics in Traffic and Transportation Engineering : Emerging Research and Opportunities
Publisher: Engineering Science Reference
Publication Date: 2019
Language: English
ISBN 10: 1522579435
ISBN 13: 9781522579434
Binding: Buch
Condition: Neu
Dimensions: 260 millimeters width by 183 millimeters height by 16 millimeters depth
Weight: 589 grams

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"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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