Details
| 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 | |
| Language | English |
| Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
| Record key | on1081315644 |
| Record create date | 1/10/2019 |
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| Group | Anonymous |
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| Network | Internet |
"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.
| Network | User group | Action |
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| ILC SPbPU Local Network | All |
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| Internet | Authorized users SPbPU |
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| Internet | Anonymous |
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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
