Big data analytics in traffic and transportation engineering emerging research and opportunities
"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-pedestri...
| Главный автор: | |
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| Формат: | Электронная книга |
| Язык: | English |
| Публикация: |
Hershey, PA
Engineering Science Reference,
[2019]
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| Предметы: | |
| Online-ссылка: | https://www.lib.tsu.ru/mminfo/2023/EBSCO/1996437.pdf Перейти в каталог НБ ТГУ |
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| 100 | 1 | |a Moridpour, Sara, |d 1980- |9 900938 | |
| 245 | 1 | 0 | |a Big data analytics in traffic and transportation engineering |b emerging research and opportunities |c by Sara Moridpour. |
| 264 | 1 | |a Hershey, PA |b Engineering Science Reference, |c [2019] | |
| 264 | 4 | |c ©2019 | |
| 300 | |a 1 online resource. | ||
| 520 | |a "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. | ||
| 505 | 0 | |a Access to public transport in metropolitan areas -- Bikeability in metropolitan areas -- Walkability in metropolitan areas -- Applying decision tree approaches on vehicle-pedestrian crashes -- Neighbourhood influences on vehicle-pedestrian crash severity -- Spatial and temporal distribution of pedestrian crashes -- Contributing factors on vehicle-pedestrian crash severity of school-aged pedestrians. | |
| 588 | 0 | |a Print version record. | |
| 651 | 7 | |a Victoria |z Melbourne. |2 fast |0 (OCoLC)fst01204736 |9 900944 | |
| 653 | 0 | |a Pedestrian accidents |z Australia |z Melbourne (Vic.) |x Statistical methods. |9 900939 | |
| 653 | 0 | |a Traffic accidents |z Australia |z Melbourne (Vic.) |x Statistical methods. |9 900940 | |
| 653 | 0 | |a Roads |x Interchanges and intersections |x Safety measures |x Statistical methods. |9 900941 | |
| 653 | 0 | |a Big data |z Australia |z Melbourne (Vic.) |9 900942 | |
| 653 | 7 | |a Big data. |2 fast |0 (OCoLC)fst01892965 |9 900112 | |
| 653 | 7 | |a Traffic accidents |x Statistical methods. |2 fast |0 (OCoLC)fst01154033 |9 900943 | |
| 653 | 7 | |a BUSINESS & ECONOMICS / Infrastructure |2 bisacsh |9 900194 | |
| 653 | 7 | |a SOCIAL SCIENCE / General |2 bisacsh | |
| 655 | 4 | |a EBSCO eBooks | |
| 776 | 0 | 8 | |i Print version: |a Moridpour, Sara, 1980- |t Big data analytics in traffic and transportation engineering. |d Hershey, PA : Engineering Science Reference, [2019] |z 9781522579434 |w (DLC) 2018038725 |w (OCoLC)1057732472 |
| 856 | 4 | 0 | |u https://www.lib.tsu.ru/mminfo/2023/EBSCO/1996437.pdf |
| 856 | |y Перейти в каталог НБ ТГУ |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1010000 | ||
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