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Choosing to drive from alcohol serving establishments (ASEs)
The prevalence of Driving Under the Influence (DUI) of alcohol or drugs has become a prominent factor in the occurrence of severe road crashes worldwide. Driving often occurs after visiting, and presumably drinking, at Alcohol-Serving Establishments (ASEs), and is thus of interest as a possible sour...
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Published in: | Traffic injury prevention 2024-11, Vol.25 (8), p.1013-1022 |
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description | The prevalence of Driving Under the Influence (DUI) of alcohol or drugs has become a prominent factor in the occurrence of severe road crashes worldwide. Driving often occurs after visiting, and presumably drinking, at Alcohol-Serving Establishments (ASEs), and is thus of interest as a possible source of DUI events.
We apply statistical and machine learning models to the Victorian Integrated Survey of Travel and Activity (VISTA) to identify factors that contribute to driving in trips from ASEs in Australia's state of Victoria.
Our results highlight that approximately 10% of individuals who traveled to ASEs as car passengers switched to driving after leaving there. It was also observed that travel distance shorter than 1 km and activity duration between 3 and 4 h positively impacts the mode switching from car driver to other modes in ASEs trips. Further findings illustrate a decline in driving after midnight, with an increase in the use of public transport and taxis. Individuals prefer driving for long-distance ASEs trips and walking for short distances. Going home also increased the likelihood of driving, whereas engaging in other social activities did not. Longer stays at ASEs and leaving vehicles overnight reduce the propensity to drive, likely due to increased alcohol consumption during these times.
These findings suggest behavioral adjustments that can mitigate driving under the influence. Specifically, people may walk for short-distance trips and use public transport or taxis for longer ASEs trips. |
doi_str_mv | 10.1080/15389588.2024.2379502 |
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We apply statistical and machine learning models to the Victorian Integrated Survey of Travel and Activity (VISTA) to identify factors that contribute to driving in trips from ASEs in Australia's state of Victoria.
Our results highlight that approximately 10% of individuals who traveled to ASEs as car passengers switched to driving after leaving there. It was also observed that travel distance shorter than 1 km and activity duration between 3 and 4 h positively impacts the mode switching from car driver to other modes in ASEs trips. Further findings illustrate a decline in driving after midnight, with an increase in the use of public transport and taxis. Individuals prefer driving for long-distance ASEs trips and walking for short distances. Going home also increased the likelihood of driving, whereas engaging in other social activities did not. Longer stays at ASEs and leaving vehicles overnight reduce the propensity to drive, likely due to increased alcohol consumption during these times.
These findings suggest behavioral adjustments that can mitigate driving under the influence. Specifically, people may walk for short-distance trips and use public transport or taxis for longer ASEs trips.</description><identifier>ISSN: 1538-9588</identifier><identifier>ISSN: 1538-957X</identifier><identifier>EISSN: 1538-957X</identifier><identifier>DOI: 10.1080/15389588.2024.2379502</identifier><identifier>PMID: 39190536</identifier><language>eng</language><publisher>England: Taylor & Francis</publisher><subject>Adolescent ; Adult ; Alcohol ; Alcohol Drinking - epidemiology ; Alcoholic beverages ; Alcohols ; Artificial neural network ; Automobile Driving - psychology ; Automobile Driving - statistics & numerical data ; Choice Behavior ; choice modeling ; drink driving ; Drinking behavior ; Driving ; Driving Under the Influence - statistics & numerical data ; driving while intoxicated (DWI) ; Drunk driving ; Drunkenness ; Female ; Humans ; Machine Learning ; Male ; Middle Aged ; Public transportation ; Restaurants - statistics & numerical data ; Statistical methods ; Statistical models ; Taxicabs ; Time Factors ; Travel ; Victoria ; Young Adult</subject><ispartof>Traffic injury prevention, 2024-11, Vol.25 (8), p.1013-1022</ispartof><rights>2024 The Author(s). Published with license by Taylor & Francis Group, LLC 2024</rights><rights>2024 The Author(s). Published with license by Taylor & Francis Group, LLC. This work is licensed under the Creative Commons Attribution – Non-Commercial – No Derivatives License http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c319t-9e1e017bb57c3d42f083d46e7a64c9b7ef62a2afe7da1516ce5a3edbcf276a4b3</cites><orcidid>0000-0002-4563-2963 ; 0000-0003-0411-3064 ; 0000-0002-3320-3467</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39190536$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shaer, Amin</creatorcontrib><creatorcontrib>Fielbaum, Andres</creatorcontrib><creatorcontrib>Levinson, David</creatorcontrib><title>Choosing to drive from alcohol serving establishments (ASEs)</title><title>Traffic injury prevention</title><addtitle>Traffic Inj Prev</addtitle><description>The prevalence of Driving Under the Influence (DUI) of alcohol or drugs has become a prominent factor in the occurrence of severe road crashes worldwide. Driving often occurs after visiting, and presumably drinking, at Alcohol-Serving Establishments (ASEs), and is thus of interest as a possible source of DUI events.
We apply statistical and machine learning models to the Victorian Integrated Survey of Travel and Activity (VISTA) to identify factors that contribute to driving in trips from ASEs in Australia's state of Victoria.
Our results highlight that approximately 10% of individuals who traveled to ASEs as car passengers switched to driving after leaving there. It was also observed that travel distance shorter than 1 km and activity duration between 3 and 4 h positively impacts the mode switching from car driver to other modes in ASEs trips. Further findings illustrate a decline in driving after midnight, with an increase in the use of public transport and taxis. Individuals prefer driving for long-distance ASEs trips and walking for short distances. Going home also increased the likelihood of driving, whereas engaging in other social activities did not. Longer stays at ASEs and leaving vehicles overnight reduce the propensity to drive, likely due to increased alcohol consumption during these times.
These findings suggest behavioral adjustments that can mitigate driving under the influence. 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Driving often occurs after visiting, and presumably drinking, at Alcohol-Serving Establishments (ASEs), and is thus of interest as a possible source of DUI events.
We apply statistical and machine learning models to the Victorian Integrated Survey of Travel and Activity (VISTA) to identify factors that contribute to driving in trips from ASEs in Australia's state of Victoria.
Our results highlight that approximately 10% of individuals who traveled to ASEs as car passengers switched to driving after leaving there. It was also observed that travel distance shorter than 1 km and activity duration between 3 and 4 h positively impacts the mode switching from car driver to other modes in ASEs trips. Further findings illustrate a decline in driving after midnight, with an increase in the use of public transport and taxis. Individuals prefer driving for long-distance ASEs trips and walking for short distances. Going home also increased the likelihood of driving, whereas engaging in other social activities did not. Longer stays at ASEs and leaving vehicles overnight reduce the propensity to drive, likely due to increased alcohol consumption during these times.
These findings suggest behavioral adjustments that can mitigate driving under the influence. Specifically, people may walk for short-distance trips and use public transport or taxis for longer ASEs trips.</abstract><cop>England</cop><pub>Taylor & Francis</pub><pmid>39190536</pmid><doi>10.1080/15389588.2024.2379502</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-4563-2963</orcidid><orcidid>https://orcid.org/0000-0003-0411-3064</orcidid><orcidid>https://orcid.org/0000-0002-3320-3467</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Alcohol Alcohol Drinking - epidemiology Alcoholic beverages Alcohols Artificial neural network Automobile Driving - psychology Automobile Driving - statistics & numerical data Choice Behavior choice modeling drink driving Drinking behavior Driving Driving Under the Influence - statistics & numerical data driving while intoxicated (DWI) Drunk driving Drunkenness Female Humans Machine Learning Male Middle Aged Public transportation Restaurants - statistics & numerical data Statistical methods Statistical models Taxicabs Time Factors Travel Victoria Young Adult |
title | Choosing to drive from alcohol serving establishments (ASEs) |
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