Assessing the role of access and price on the consumption of fruits and vegetables across New York City using agent-based modeling

Li, Yan; Zhang, Donglan; Thapa, Janani R.; Madondo, Kumbirai; Yi, Stella S.; Fisher, Elisa; Griffin, Kerry; Liu, Bian; Wang, Youfa; Pagán, José A.

doi:10.1016/j.ypmed.2017.10.014

Cited by 18 publications

(18 citation statements)

References 14 publications

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“…However, how to calibrate and to what extent to calibrate a systems model to generate observed phenomena remain a major challenge in the field. Among the 35 studies reviewed, 14 studies calibrated the systems models using empirical data by adjusting model parameters to generate simulated data to match the observed real‐world data . The match or ‘goodness‐of‐fit’ was assessed by comparing the characteristics of related distributions, e.g.…”

Section: Discussionmentioning

confidence: 99%

“…The match or ‘goodness‐of‐fit’ was assessed by comparing the characteristics of related distributions, e.g. mean weight , mean height , mean BMI , mean healthy diet , mean/median distance of trips , prevalence of obesity , proportion of people who consumed at least two servings of FV , variance and skewness of weight and height distributions and probabilities of food purchasing and comsuption . Macro validation, i.e.…”

Section: Discussionmentioning

confidence: 99%

“…Our review reveals that the existing SM studies, in general, did not provide detailed model documentation to allow for easy replication. Among the 35 studies reviewed, only four studies provided supplementary documentation with information on model equations or computer programs . Recommendations : Making the SM process transparent to the extent that other researchers can understand, replicate, learn and expand upon it is challenging but is critical to promoting SM applications.…”

Section: Discussionmentioning

confidence: 99%

“…In another recent study, our team developed an ABM to simulate individual dietary behaviours of adults in NYC under hypothetical interventions: (1) a 10% and 20% increase in the number of FV vendors, (2) a 10% and 20% reduction in the price of FV, (3) a 10% increase in the number of vendors and 10% decrease in price and (4) a 20% increase in the number of vendors and 20% decrease in price . In the ABM, agents were individuals with various attributes (geographic and demographic characteristics, taste preferences, health beliefs and price sensitivity).…”

Section: Applications Of Systems Modelling In Obesity Researchmentioning

confidence: 99%

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Applications of systems modelling in obesity research

et al. 2018

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Obesity is a complex system problem involving a broad spectrum of policy, social, economic, cultural, environmental, behavioural, and biological factors and the complex interrelated, cross-sector, non-linear, dynamic relationships among them. Systems modelling is an innovative approach with the potential for advancing obesity research. This study examined the applications of systems modelling in obesity research published between 2000 and 2017, examined how the systems models were developed and used in obesity studies and discussed related gaps in current research. We focused on the applications of two main systems modelling approaches: system dynamics modelling and agent-based modelling. The past two decades have seen a growing body of systems modelling in obesity research. The research topics ranged from micro-level to macro-level energy-balance-related behaviours and policies (19 studies), population dynamics (five studies), policy effect simulations (eight studies), environmental (10 studies) and social influences (15 studies) and their effects on obesity rates. Overall, systems analysis in public health research is still in its early stages, with limitations linked to model validity, mixed findings and its actual use in guiding interventions. Challenges in theory and modelling practices need to be addressed to realize the full potential of systems modelling in future obesity research and interventions.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Applications Of Systems Modelling In Obesity Researchmentioning

confidence: 99%

See 2 more Smart Citations

Applications of systems modelling in obesity research

et al. 2018

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“…The increased availability of unhealthful foods and beverages in impoverished neighborhoods may explain the finding of increased consumption among residents of these areas ( Duran et al, 2016 ). Modifying the built environment to facilitate access to healthful options could improve the diets of these individuals ( Li et al, 2018 ); though some studies failed to find a positive association ( Allcott et al, 2019 ). In addition, racism and disinvestment in communities of color may also contribute to disparities at the neighborhood level ( Schaff et al, 2013 , Morello-Frosch and Lopez, 2006 ).…”

Section: Discussionmentioning

confidence: 99%

Trends and sociodemographic disparities in sugary drink consumption among adults in New York City, 2009–2017

Jiang

Russo

et al. 2020

Preventive Medicine Reports

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Highlights We studied the trends in sugary drink consumption among adults in New York City. Sugary drink consumption decreased from 2009 to 2014 but plateaued from 2014 to 2017. Sugary drink consumption remained high among young adults, Hispanics, and Blacks. Targeted interventions are needed to reduce disparities in sugary drink consumption.

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Global Warming Impacts of Residential Electricity Consumption: Agent‐Based Modeling of Rooftop Solar Panel Adoption in Los Angeles County, California

Grant

Hicks

2020

Integr Envir Assess & Manag

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Solar photovoltaics (PV) are a renewable electricity technology with lower carbon dioxide equivalent (CO 2 e) impacts compared to fossil electricity, making it a technology of interest with respect to combatting global climate change. This paper combines agent-based modeling (ABM) with life cycle assessment (LCA) to simulate rooftop solar PV adoption in Los Angeles (LA) County from 2018-2050 and generate CO 2 e impact data at the societal level to compare PV and grid electricity. With respect to solar PV panels, consumer adoption is the "pull" that moves the system and corresponding life cycle CO 2 e impacts forward. ABM is used to evaluate the impact of policies and evolutions in technology regarding the adoption of solar PV. Life cycle assessment is used to quantify the life cycle CO 2 e impacts of solar PV (including raw materials, manufacturing, and use). The results show that scenarios that increase PV adoption also increase the CO 2 e impacts from solar PV use in the short term, due to the raw materials and manufacturing portions of the life cycle. Yet, in the long term, adoption of solar PV may provide CO 2 e impact savings from offsetting grid electricity (although this is dependent on the carbon intensity of the electricity sources). The CO 2 e impacts of solar panels are dominated by the raw materials and manufacturing phases on a product level basis, but the use phase contributes to the majority of environmental impact savings from an adoption and societal-level perspective. Future work may apply the methodology to other locations in the United States to evaluate if solar panels are an advantageous electricity source compared to the environmental impacts of the electricity grid.

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Assessing the role of access and price on the consumption of fruits and vegetables across New York City using agent-based modeling

Cited by 18 publications

References 14 publications

Applications of systems modelling in obesity research

Applications of systems modelling in obesity research

Trends and sociodemographic disparities in sugary drink consumption among adults in New York City, 2009–2017

Global Warming Impacts of Residential Electricity Consumption: Agent‐Based Modeling of Rooftop Solar Panel Adoption in Los Angeles County, California

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