SimDrink: An agent-based netlogo model of young, heavy drinkers for conducting alcohol policy experiments
Aggression and other acute harms experienced in the night-time economy are topics of significant public health concern. Although policies to minimise these harms are frequently proposed, there is often little evidence available to support their effectiveness. In particular, indirect and displacement...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
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University of Surrey
2016
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| Online Access: | http://purl.org/au-research/grants/arc/DP110101720 http://hdl.handle.net/20.500.11937/17070 |
| _version_ | 1848749358008238080 |
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| author | Scott, N. Livingston, M. Hart, Anthony Wilson, James Moore, David Dietze, P. |
| author_facet | Scott, N. Livingston, M. Hart, Anthony Wilson, James Moore, David Dietze, P. |
| author_sort | Scott, N. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Aggression and other acute harms experienced in the night-time economy are topics of significant public health concern. Although policies to minimise these harms are frequently proposed, there is often little evidence available to support their effectiveness. In particular, indirect and displacement effects are rarely measured. This paper describes a proof-of-concept agent-based model ‘SimDrink’, built in NetLogo, which simulates a population of 18-25 year old heavy alcohol drinkers on a night out in Melbourne to provide a means for conducting policy experiments to inform policy decisions. The model includes demographic, setting and situational-behavioural heterogeneity and is able to capture any unintended consequences of policy changes. It consists of individuals and their friendship groups moving between private, public-commercial (e.g. nightclub) and public-niche (e.g. bar, pub) venues while tracking their alcohol consumption, spending and whether or not they experience consumption-related harms (i.e. drink too much), are involved in verbal violence, or have difficulty getting home. When compared to available literature, the model can reproduce current estimates for the prevalence of verbal violence experienced by this population on a single night out, and produce realistic values for the prevalence of consumption-related and transport-related harms. Outputs are robust to variations in underlying parameters. Further work with policy makers is required to identify several specific proposed harm reduction interventions that can be virtually implemented and compared. This will allow evidence based decisions to be made and will help to ensure any interventions have their intended effects. |
| first_indexed | 2025-11-14T07:19:40Z |
| format | Journal Article |
| id | curtin-20.500.11937-17070 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:19:40Z |
| publishDate | 2016 |
| publisher | University of Surrey |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-170702017-11-30T08:15:09Z SimDrink: An agent-based netlogo model of young, heavy drinkers for conducting alcohol policy experiments Scott, N. Livingston, M. Hart, Anthony Wilson, James Moore, David Dietze, P. Aggression and other acute harms experienced in the night-time economy are topics of significant public health concern. Although policies to minimise these harms are frequently proposed, there is often little evidence available to support their effectiveness. In particular, indirect and displacement effects are rarely measured. This paper describes a proof-of-concept agent-based model ‘SimDrink’, built in NetLogo, which simulates a population of 18-25 year old heavy alcohol drinkers on a night out in Melbourne to provide a means for conducting policy experiments to inform policy decisions. The model includes demographic, setting and situational-behavioural heterogeneity and is able to capture any unintended consequences of policy changes. It consists of individuals and their friendship groups moving between private, public-commercial (e.g. nightclub) and public-niche (e.g. bar, pub) venues while tracking their alcohol consumption, spending and whether or not they experience consumption-related harms (i.e. drink too much), are involved in verbal violence, or have difficulty getting home. When compared to available literature, the model can reproduce current estimates for the prevalence of verbal violence experienced by this population on a single night out, and produce realistic values for the prevalence of consumption-related and transport-related harms. Outputs are robust to variations in underlying parameters. Further work with policy makers is required to identify several specific proposed harm reduction interventions that can be virtually implemented and compared. This will allow evidence based decisions to be made and will help to ensure any interventions have their intended effects. 2016 Journal Article http://hdl.handle.net/20.500.11937/17070 10.18564/jasss.2943 http://purl.org/au-research/grants/arc/DP110101720 http://creativecommons.org/licenses/by/4.0/ University of Surrey unknown |
| spellingShingle | Scott, N. Livingston, M. Hart, Anthony Wilson, James Moore, David Dietze, P. SimDrink: An agent-based netlogo model of young, heavy drinkers for conducting alcohol policy experiments |
| title | SimDrink: An agent-based netlogo model of young, heavy drinkers for conducting alcohol policy experiments |
| title_full | SimDrink: An agent-based netlogo model of young, heavy drinkers for conducting alcohol policy experiments |
| title_fullStr | SimDrink: An agent-based netlogo model of young, heavy drinkers for conducting alcohol policy experiments |
| title_full_unstemmed | SimDrink: An agent-based netlogo model of young, heavy drinkers for conducting alcohol policy experiments |
| title_short | SimDrink: An agent-based netlogo model of young, heavy drinkers for conducting alcohol policy experiments |
| title_sort | simdrink: an agent-based netlogo model of young, heavy drinkers for conducting alcohol policy experiments |
| url | http://purl.org/au-research/grants/arc/DP110101720 http://hdl.handle.net/20.500.11937/17070 |