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Moridpour, Sara. Big data analytics in traffic and transportation engineering: emerging research and opportunities / by Sara Moridpour. — 1 online resource. — <URL:http://elib.fa.ru/ebsco/1996437.pdf>.

Record create date: 1/10/2019

Subject: Pedestrian accidents — Statistical methods.; Traffic accidents — Statistical methods.; Roads — Interchanges and intersections — Safety measures — Statistical methods.; Big data; Big data.; Traffic accidents — Statistical methods.

Collections: EBSCO

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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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Cover
Title Page
Copyright Page
Book Series
Table of Contents
Preface
Chapter 1: Measuring Public Transport Accessibility in Metropolitan Area
Chapter 2: Bikeability in Metropolitan Areas
Chapter 3: Walkability in Metropolitan Area
Chapter 4: Applying Decision Tree Approaches on Vehicle-Pedestrian Crashes
Chapter 5: Neighbourhood Influences on Vehicle-Pedestrian Crash Severity
Chapter 6: Spatial and Temporal Distribution of Pedestrian Crashes
Chapter 7: Contributing Factors on Vehicle-Pedestrian Crash Severity of School-Aged Pedestrians
Compilation of References
Index

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