Add wos sample results library

02-data/intermediate/wos_sample/d523ac14414350f135a91e76bd5f0355-scalco-andrea-and-m/info.yaml

@@ -0,0 +1,113 @@
+abstract: 'The current rate of production and consumption of meat poses a problem
+
+  both to peoples'' health and to the environment. This work aims to
+
+  develop a simulation of peoples'' meat consumption in Britain using
+
+  agent-based modelling. The agents represent individual consumers. The
+
+  key variables that characterise agents include sex, age, monthly income,
+
+  perception of the living cost, and concerns about the impact of meat on
+
+  the environment, health, and animal welfare. A process of peer influence
+
+  is modelled with respect to the agents'' concerns. Influence spreads
+
+  across two eating networks (i.e. co-workers and household members)
+
+  depending on the time of day, day of the week, and agents'' employment
+
+  status. Data from a representative sample of British consumers is used
+
+  to empirically ground the model. Different experiments are run
+
+  simulating interventions of the application of social marketing
+
+  campaigns and a rise in price of meat. The main outcome is the mean
+
+  weekly consumption of meat per consumer. A secondary outcome is the
+
+  likelihood of eating meat. Analyses are run on the overall artificial
+
+  population and by subgroups. The model succeeded in reproducing observed
+
+  consumption patterns. Different sizes of effect on consumption emerged
+
+  depending on the application of a social marketing strategy or a price
+
+  increase. A price increase had a greater effect than environmental and
+
+  animalwelfare campaigns, while a health campaign had a larger impact on
+
+  consumers'' behaviour than the other campaigns. An environmental campaign
+
+  targeted at consumers concerned about the environment produced a
+
+  boomerang effect increasing the consumption in the population rather
+
+  than reducing it. The results of the simulation experiments are mainly
+
+  consistent with the literature on food consumption providing support for
+
+  future models of public strategies to reduce meat consumption.'
+affiliation: 'Scalco, A (Corresponding Author), Univ Aberdeen, Rowett Inst, Ashgrove
+  Rd W, Aberdeen AB25 2ZD, Scotland.
+
+  Scalco, Andrea; Macdiarmid, Jennie, I; Whybrow, Stephen, Univ Aberdeen, Rowett Inst,
+  Ashgrove Rd W, Aberdeen AB25 2ZD, Scotland.
+
+  Craig, Tony, James Hutton Inst, Aberdeen AB15 8QH, Scotland.
+
+  Horgan, Graham W., James Hutton Inst, Biomath \& Stat Scotland, Ashgrove Rd W, Aberdeen
+  AB25 2ZD, Scotland.'
+article-number: '8'
+author: Scalco, Andrea and Macdiarmid I, Jennie and Craig, Tony and Whybrow, Stephen
+  and Horgan, Graham W.
+author-email: andrea.scalco@abdn.ac.uk
+author_list:
+- family: Scalco
+  given: Andrea
+- family: Macdiarmid I
+  given: Jennie
+- family: Craig
+  given: Tony
+- family: Whybrow
+  given: Stephen
+- family: Horgan
+  given: Graham W.
+da: '2023-09-28'
+doi: 10.18564/jasss.4124
+files: []
+issn: 1460-7425
+journal: JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION
+keywords: 'Consumer Behaviour; Food Choice; Meat Consumption; Population Health;
+
+  Social Influence'
+keywords-plus: 'INCOME INEQUALITIES; SOCIAL NORMS; FOOD CHOICE; SUSTAINABILITY;
+
+  SCENARIOS; FRIENDS; HEALTH; IMPACT; POWER; DIET'
+language: English
+month: OCT 31
+number: '4'
+number-of-cited-references: '54'
+orcid-numbers: 'Craig, Tony/0000-0001-9552-1682
+
+  Scalco, Andrea/0000-0002-0517-9084'
+papis_id: ca483b649aba57f2746c7f1fc14f6eb7
+ref: Scalco2019agentbasedmodel
+researcherid-numbers: 'Horgan, Graham/J-3738-2013
+
+  Craig, Tony/I-8353-2012
+
+  '
+times-cited: '9'
+title: An Agent-Based Model to Simulate Meat Consumption Behaviour of Consumers in
+  Britain
+type: Article
+unique-id: WOS:000493955700008
+usage-count-last-180-days: '3'
+usage-count-since-2013: '34'
+volume: '22'
+web-of-science-categories: Social Sciences, Interdisciplinary
+year: '2019'