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Big data analytics in traffic and tr...

Moridpour, Sara, (1980-)

Big data analytics in traffic and transportation engineeringemerging research and opportunities /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Big data analytics in traffic and transportation engineeringby Sara Moridpour.
其他題名:	emerging research and opportunities /
作者:	Moridpour, Sara,
出版者:	Hershey, Pennsylvania :IGI Global,[2019]
面頁冊數:	1 online resource (ix, 188 p.)
標題:	Pedestrian accidentsStatistical methods.Australia
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7943-4
ISBN:	9781522579441 (e-book)

Big data analytics in traffic and transportation engineeringemerging research and opportunities /
Moridpour, Sara,1980-

Big data analytics in traffic and transportation engineeringemerging research and opportunities /[electronic resource] :by Sara Moridpour. - Hershey, Pennsylvania :IGI Global,[2019] - 1 online resource (ix, 188 p.)

Includes bibliographical references and index.

Chapter 1. Measuring public transport accessibility in metropolitan area -- Chapter 2. Bikeability in metropolitan areas -- Chapter 3. Walkability in metropolitan area -- Chapter 4. Applying decision tree approaches on vehicle-pedestrian crashes -- Chapter 5. Neighbourhood influences on vehicle-pedestrian crash severity -- Chapter 6. Spatial and temporal distribution of pedestrian crashes -- Chapter 7. Contributing factors on vehicle-pedestrian crash severity of school-aged pedestrians.

Restricted to subscribers or individual electronic text purchasers.

"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.

ISBN: 9781522579441 (e-book)Subjects--Topical Terms:

843715
Pedestrian accidents
--Statistical methods.--Australia

LC Class. No.: HE5614.5.A8 / M67 2019e

Dewey Class. No.: 363.12/5

Big data analytics in traffic and transportation engineeringemerging research and opportunities /
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245 1 0 $a Big data analytics in traffic and transportation engineering $h [electronic resource] : $b emerging research and opportunities / $c by Sara Moridpour.
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300 $a 1 online resource (ix, 188 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Measuring public transport accessibility in metropolitan area -- Chapter 2. Bikeability in metropolitan areas -- Chapter 3. Walkability in metropolitan area -- Chapter 4. Applying decision tree approaches on vehicle-pedestrian crashes -- Chapter 5. Neighbourhood influences on vehicle-pedestrian crash severity -- Chapter 6. Spatial and temporal distribution of pedestrian crashes -- Chapter 7. Contributing factors on vehicle-pedestrian crash severity of school-aged pedestrians.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $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.
650 0 $a Pedestrian accidents $z Australia $z Melbourne (Vic.) $x Statistical methods. $3 843715
650 0 $a Traffic accidents $z Australia $z Melbourne (Vic.) $x Statistical methods. $3 843716
650 0 $a Roads $x Interchanges and intersections $x Safety measures $x Statistical methods. $3 843717
650 0 $a Big data $z Australia $z Melbourne (Vic.) $3 843718
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7943-4