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, Pennsylvania
IGI Global
[2019]
|
| Subjects: | |
| Online Access: | DE-91 DE-573 DE-20 DE-1049 DE-898 DE-706 DE-1050 DE-83 Volltex |
| 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 |
| Item Description: | Description based on title screen (IGI Global, viewed 01/08/2019) |
| Physical Description: | 1 Online-Ressource (13 PDFs (188 pages)) |
| ISBN: | 9781522579441 |
Staff View
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| 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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Record in the Search Index
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| author | Moridpour, Sara 1980- |
| author_facet | Moridpour, Sara 1980- |
| author_role | aut |
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| building | Verbundindex |
| bvnumber | BV046096254 |
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| ctrlnum | (ZDB-1-IGE)00211109 (OCoLC)1081353980 (DE-599)BVBBV046096254 |
| dewey-full | 363.12/5 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 363 - Other social problems and services |
| dewey-raw | 363.12/5 |
| dewey-search | 363.12/5 |
| dewey-sort | 3363.12 15 |
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| discipline | Soziologie |
| format | Electronic eBook |
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| id | DE-604.BV046096254 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-20T06:38:20Z |
| institution | BVB |
| isbn | 9781522579441 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031477109 |
| oclc_num | 1081353980 |
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| physical | 1 Online-Ressource (13 PDFs (188 pages)) |
| psigel | ZDB-1-IGE ZDB-98-IGB ZDB-98-IGB TUB_EBS_IGB |
| publishDate | 2019 |
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| publisher | IGI Global |
| record_format | marc |
| spelling | Moridpour, Sara 1980- Verfasser aut Big data analytics in traffic and transportation engineering emerging research and opportunities by Sara Moridpour Hershey, Pennsylvania IGI Global [2019] 2019 1 Online-Ressource (13 PDFs (188 pages)) txt rdacontent c rdamedia cr rdacarrier Description based on title screen (IGI Global, viewed 01/08/2019) "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.) Erscheint auch als Druck-Ausgabe 1522579435 9781522579434 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7943-4 Verlag URL des Erstveröffentlichers Volltex |
| spellingShingle | Moridpour, Sara 1980- Big data analytics in traffic and transportation engineering emerging research and opportunities 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.) |
| 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 by Sara Moridpour |
| title_fullStr | Big data analytics in traffic and transportation engineering emerging research and opportunities by Sara Moridpour |
| title_full_unstemmed | Big data analytics in traffic and transportation engineering emerging research and opportunities by 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.) |
| 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.) |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7943-4 |
| work_keys_str_mv | AT moridpoursara bigdataanalyticsintrafficandtransportationengineeringemergingresearchandopportunities |