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...

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Bibliographic Details
Main Author Moridpour, Sara, 1980- (Author)
Format Electronic eBook
LanguageEnglish
Published Hershey, PA : Engineering Science Reference, [2019]
Subjects
Pedestrian accidents > Australia > Melbourne (Vic.) > Statistical methods.
Traffic accidents > Australia > Melbourne (Vic.) > Statistical methods.
Roads > Interchanges and intersections > Safety measures > Statistical methods.
Big data > Australia > Melbourne (Vic.)
elektronické knihy
electronic books
Online AccessFull text
ISBN9781522579441
1522579443
9781522579434
1522579435
Physical Description1 online resource

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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 
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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. 
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650 0 |a Traffic accidents  |z Australia  |z Melbourne (Vic.)  |x Statistical methods. 
650 0 |a Roads  |x Interchanges and intersections  |x Safety measures  |x Statistical methods. 
650 0 |a Big data  |z Australia  |z Melbourne (Vic.) 
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856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpBDATTEE1/big-data-analytics?kpromoter=marc  |y Full text 

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