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...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hershey, PA
IGI Global
[2019]
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Schlagworte: | |
Online-Zugang: | DE-1050 DE-898 DE-1049 DE-91 DE-706 DE-83 Volltext |
Zusammenfassung: | "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 |
Beschreibung: | 1 Online-Ressource |
ISBN: | 9781522579441 |
DOI: | 10.4018/978-1-5225-7943-4 |
Internformat
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100 | 1 | |a Moridpour, Sara |e Verfasser |4 aut | |
245 | 1 | 0 | |a Big data analytics in traffic and transportation engineering |b emerging research and opportunities |c Sara Moridpour |
264 | 1 | |a Hershey, PA |b IGI Global |c [2019] | |
300 | |a 1 Online-Ressource | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
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505 | 8 | |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 | |
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 | ||
650 | 4 | |a Pedestrian accidents / Australia / Melbourne (Vic.) / Statistical methods | |
650 | 4 | |a Traffic accidents / Australia / Melbourne (Vic.) / Statistical methods | |
650 | 4 | |a Roads / Interchanges and intersections / Safety measures / Statistical methods | |
650 | 4 | |a Big data / Australia / Melbourne (Vic.) | |
650 | 7 | |a Big data |2 fast | |
650 | 7 | |a Traffic accidents / Statistical methods |2 fast | |
651 | 7 | |a Victoria / Melbourne |2 fast | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, hardcover |z 978-1-5225-7943-4 |
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Datensatz im Suchindex
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adam_text | |
any_adam_object | |
author | Moridpour, Sara |
author_facet | Moridpour, Sara |
author_role | aut |
author_sort | Moridpour, Sara |
author_variant | s m sm |
building | Verbundindex |
bvnumber | BV045390303 |
collection | ZDB-98-IGB ZDB-1-IGE |
contents | 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 |
ctrlnum | (OCoLC)1081353980 (DE-599)BVBBV045390303 |
doi_str_mv | 10.4018/978-1-5225-7943-4 |
format | Electronic eBook |
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geographic | Victoria / Melbourne fast |
geographic_facet | Victoria / Melbourne |
id | DE-604.BV045390303 |
illustrated | Not Illustrated |
indexdate | 2024-07-20T06:38:18Z |
institution | BVB |
isbn | 9781522579441 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030776601 |
oclc_num | 1081353980 |
open_access_boolean | |
owner | DE-1050 DE-1049 DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-706 DE-83 |
owner_facet | DE-1050 DE-1049 DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-706 DE-83 |
physical | 1 Online-Ressource |
psigel | ZDB-98-IGB ZDB-1-IGE ZDB-98-IGB FHD01_IGB_Kauf ZDB-1-IGE ZDB-1-IGE19 ZDB-98-IGB TUB_EBS_IGB |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | IGI Global |
record_format | marc |
spelling | Moridpour, Sara Verfasser aut Big data analytics in traffic and transportation engineering emerging research and opportunities Sara Moridpour Hershey, PA IGI Global [2019] 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier 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 "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 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 fast Traffic accidents / Statistical methods fast Victoria / Melbourne fast Erscheint auch als Druck-Ausgabe, hardcover 978-1-5225-7943-4 https://doi.org/10.4018/978-1-5225-7943-4 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Moridpour, Sara Big data analytics in traffic and transportation engineering emerging research and opportunities 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 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 fast Traffic accidents / Statistical methods fast |
title | Big data analytics in traffic and transportation engineering emerging research and opportunities |
title_auth | Big data analytics in traffic and transportation engineering emerging research and opportunities |
title_exact_search | Big data analytics in traffic and transportation engineering emerging research and opportunities |
title_full | Big data analytics in traffic and transportation engineering emerging research and opportunities Sara Moridpour |
title_fullStr | Big data analytics in traffic and transportation engineering emerging research and opportunities Sara Moridpour |
title_full_unstemmed | Big data analytics in traffic and transportation engineering emerging research and opportunities Sara Moridpour |
title_short | Big data analytics in traffic and transportation engineering |
title_sort | big data analytics in traffic and transportation engineering emerging research and opportunities |
title_sub | emerging research and opportunities |
topic | 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 fast Traffic accidents / Statistical methods fast |
topic_facet | 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 Victoria / Melbourne |
url | https://doi.org/10.4018/978-1-5225-7943-4 |
work_keys_str_mv | AT moridpoursara bigdataanalyticsintrafficandtransportationengineeringemergingresearchandopportunities |