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

Moridpour, Sara

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	Table	Card	RUSMARC

Title:	Big data analytics in traffic and transportation engineering: emerging research and opportunities
Creators:	Moridpour Sara
Collection:	Электронные книги зарубежных издательств; Общая коллекция
Subjects:	Pedestrian accidents — Statistical methods.; Traffic accidents — Statistical methods.; Roads — Interchanges and intersections — Safety measures — Statistical methods.; Big data; Big data.; EBSCO eBooks
Document type:	Other
File type:	PDF
Language:	English
Rights:	Доступ по паролю из сети Интернет (чтение, печать, копирование)
Record key:	on1081315644

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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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