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 |
Allowed Actions
| pdf/1996437.pdf | – |
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|---|---|---|
| epub/1996437.epub | – |
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| Group | Anonymous |
|---|---|
| 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 |
|---|---|---|
| ILC SPbPU Local Network | All |
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| Internet | Authorized users SPbPU |
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| Internet | Anonymous |
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