Big data analytics in traffic and transportation engineering :/Moridpour, Sara,.

 

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DDC 363.12/5
M 84

Moridpour, Sara, (1980-).
    Big data analytics in traffic and transportation engineering : : emerging research and opportunities / / by Sara Moridpour. - Hershey, PA : : Engineering Science Reference,, ©2019. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/572FAF6F-1498-4FC2-915F-995E7ABFA664 . - ISBN 9781522579441 (electronic bk.). - ISBN 1522579443 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Moridpour, Sara, 1980- Big data analytics in traffic and transportation engineering. - Hershey, PA : Engineering Science Reference, [2019]. - ISBN 9781522579434
    Содержание:
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.

~РУБ DDC 363.12/5

Рубрики: Pedestrian accidents--Statistical methods.--Australia--Melbourne (Vic.)

   Traffic accidents--Statistical methods.--Australia--Melbourne (Vic.)

   Roads--Interchanges and intersections--Safety measures--Statistical methods.

   Big data--Australia--Melbourne (Vic.)

   Big data.

   Traffic accidents--Statistical methods.

   BUSINESS & ECONOMICS / Infrastructure

   SOCIAL SCIENCE / General

   Victoria--Melbourne.
Аннотация: "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.