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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, PA
IGI Global
[2019]
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| Subjects: | |
| Online Access: | DE-1050 DE-898 DE-1049 DE-91 DE-706 DE-83 Volltext |
| Summary: | "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 |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 9781522579441 |
| DOI: | 10.4018/978-1-5225-7943-4 |
Staff View
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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.) | |
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| 650 | 7 | |a Traffic accidents / Statistical methods |2 fast | |
| 651 | 7 | |a Victoria / Melbourne |2 fast | |
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Record in the Search Index
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| author | Moridpour, Sara |
| author_facet | Moridpour, Sara |
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| 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 | |
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| owner_facet | DE-1050 DE-1049 DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-706 DE-83 |
| physical | 1 Online-Ressource |
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| 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 |