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The Household Simulation Model (HHSM); a DES model focusing on understanding household food waste.

software
posted on 13.08.2020 by Cansu Kandemir, Christian Reynolds, Tom Quested, Karen Fisher, Rachel Devine, Estelle Herszenhorn, Siau Koh, David Evans

We present the most developed application of household food waste DES to date: the new Household Simulation Model (HHSM), a DES model focusing on understanding household food waste. The HHSM provides the flexibility to model a range of food items and includes many household dynamics that can affect food waste (e.g. purchasing, storage, consumption). The HHSM simulates a range of household types to reflect the diversity of the UK population.


In this deposit we provide:
1) A version of the HHSM to be used with ARENA Simulation Software version 15.1 (.doe)

2) The siman code of the HHSM.


The methodology and further description of the model can be found in the document USING DISCRETE EVENT SIMULATION TO EXPLORE FOOD WASTED IN THE HOME - currently under review (2020) at the Journal of Simulation.


For further published reading on the HHSM see:

https://wrap.org.uk/sites/files/wrap/Household Simulation Model Methodological Summary.pdf

https://core.ac.uk/download/pdf/224802772.pdf

https://www.researchgate.net/publication/334277232_Household_food_waste_simulation_model_Investigation_of_interventions_for_staple_food_items_waste

https://www.taylorfrancis.com/books/e/9780429462795/chapters/10.4324/9780429462795-25

http://eprints.whiterose.ac.uk/157413/

https://www.researchgate.net/publication/337827666_The_household_simulation_model_-_Investigation_of_innovations_to_reduce_meat_and_dairy_food_waste

https://dx.doi.org/10.13140/RG.2.2.19345.79206


Funding

"Simulating Household Food Waste: A Research and Policy model" funded by the Economic & Social Research Council Impact Accelerator and WRAP

Linking sustainable food with food waste in policy; a NERC innovation placement in WRAP.

Natural Environment Research Council

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N8 AgriFood Resilience Programme (HEFCE Catalyst-funded)

History

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There is no personal data or any that requires ethical approval

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The data complies with the institution and funders' policies on access and sharing

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The data can be shared openly

Data description

  • The file formats are open or commonly used

Methodology, headings and units

  • Headings and units are explained in the files

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