Big data analytics in traffic and transportation engineering emerging research and opportunities by Sara Moridpour.
Material type: TextPublisher: Hershey, PA Engineering Science Reference, [2019]Copyright date: ©2019Description: 1 online resourceISBN: 9781522579441; 1522579443Subject(s): Victoria -- Melbourne | 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.) | Big data | Traffic accidents -- Statistical methods | BUSINESS & ECONOMICS / Infrastructure | SOCIAL SCIENCE / GeneralGenre/Form: EBSCO eBooks Additional physical formats: Print version:: Big data analytics in traffic and transportation engineering.DDC classification: 363.12/5 LOC classification: HE5614.5.A8 | M67 2019ebOnline resources: Click here to access online"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.
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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