A mixed methods approach to exploring values that inform desirable food-systems futures
Throughout the United States, urban food systems are in suboptimal states that are not operating efficiently or equitably and thus do not support food security for all. Creating transformation to a more sustainable and desirable state first requires acknowledging the different values of diverse grou...
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Taylor & Francis Group
2021
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oai:doaj.org-article:e95a427e33634a50a5b451ef78c2dd712021-11-26T11:19:47ZA mixed methods approach to exploring values that inform desirable food-systems futures1548-773310.1080/15487733.2021.1996768https://doaj.org/article/e95a427e33634a50a5b451ef78c2dd712021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/15487733.2021.1996768https://doaj.org/toc/1548-7733Throughout the United States, urban food systems are in suboptimal states that are not operating efficiently or equitably and thus do not support food security for all. Creating transformation to a more sustainable and desirable state first requires acknowledging the different values of diverse groups within a city. Then these diverse values can be used to explore pluralistic pathways to futures that maximize benefits for multiple stakeholders. We demonstrate how integrating visioning and Q-methodology can achieve an inclusive understanding of values as priorities for such a food system. Applied in Flint, Michigan, a post-industrial Rust Belt city, this approach can shape the planning process for cities experiencing food insecurity. Qualitative analysis of data from a visioning workshop resulted in sixteen values as priorities for a sustainable and desirable food system. Values as priorities were then ranked in a Q-sort activity, from which three unique groups of ranking patterns emerged, each of which can be interpreted as a vision for a better future. The three visions were a food system with healthy foods that residents are willing to travel for; a food system with convenient, fresh food options for those who cannot travel; and a food system that maintains the community’s food traditions. Our novel mixed methods approach empowers communities by giving them a voice in the planning process but also allows decision makers to create transformation pathways that more accurately reflect the needs of the various subsets of community members who hold diverse visions and priorities.Rachael Belisle-TolerJennifer HodbodChelsea WentworthTaylor & Francis Grouparticleurban food systemsvalues as prioritiesfood valuesvisioningq-methodologySocial sciences (General)H1-99ENSustainability: Science, Practice, & Policy, Vol 17, Iss 1, Pp 362-376 (2021) |
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urban food systems values as priorities food values visioning q-methodology Social sciences (General) H1-99 |
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urban food systems values as priorities food values visioning q-methodology Social sciences (General) H1-99 Rachael Belisle-Toler Jennifer Hodbod Chelsea Wentworth A mixed methods approach to exploring values that inform desirable food-systems futures |
description |
Throughout the United States, urban food systems are in suboptimal states that are not operating efficiently or equitably and thus do not support food security for all. Creating transformation to a more sustainable and desirable state first requires acknowledging the different values of diverse groups within a city. Then these diverse values can be used to explore pluralistic pathways to futures that maximize benefits for multiple stakeholders. We demonstrate how integrating visioning and Q-methodology can achieve an inclusive understanding of values as priorities for such a food system. Applied in Flint, Michigan, a post-industrial Rust Belt city, this approach can shape the planning process for cities experiencing food insecurity. Qualitative analysis of data from a visioning workshop resulted in sixteen values as priorities for a sustainable and desirable food system. Values as priorities were then ranked in a Q-sort activity, from which three unique groups of ranking patterns emerged, each of which can be interpreted as a vision for a better future. The three visions were a food system with healthy foods that residents are willing to travel for; a food system with convenient, fresh food options for those who cannot travel; and a food system that maintains the community’s food traditions. Our novel mixed methods approach empowers communities by giving them a voice in the planning process but also allows decision makers to create transformation pathways that more accurately reflect the needs of the various subsets of community members who hold diverse visions and priorities. |
format |
article |
author |
Rachael Belisle-Toler Jennifer Hodbod Chelsea Wentworth |
author_facet |
Rachael Belisle-Toler Jennifer Hodbod Chelsea Wentworth |
author_sort |
Rachael Belisle-Toler |
title |
A mixed methods approach to exploring values that inform desirable food-systems futures |
title_short |
A mixed methods approach to exploring values that inform desirable food-systems futures |
title_full |
A mixed methods approach to exploring values that inform desirable food-systems futures |
title_fullStr |
A mixed methods approach to exploring values that inform desirable food-systems futures |
title_full_unstemmed |
A mixed methods approach to exploring values that inform desirable food-systems futures |
title_sort |
mixed methods approach to exploring values that inform desirable food-systems futures |
publisher |
Taylor & Francis Group |
publishDate |
2021 |
url |
https://doaj.org/article/e95a427e33634a50a5b451ef78c2dd71 |
work_keys_str_mv |
AT rachaelbelisletoler amixedmethodsapproachtoexploringvaluesthatinformdesirablefoodsystemsfutures AT jenniferhodbod amixedmethodsapproachtoexploringvaluesthatinformdesirablefoodsystemsfutures AT chelseawentworth amixedmethodsapproachtoexploringvaluesthatinformdesirablefoodsystemsfutures AT rachaelbelisletoler mixedmethodsapproachtoexploringvaluesthatinformdesirablefoodsystemsfutures AT jenniferhodbod mixedmethodsapproachtoexploringvaluesthatinformdesirablefoodsystemsfutures AT chelseawentworth mixedmethodsapproachtoexploringvaluesthatinformdesirablefoodsystemsfutures |
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1718409568593117184 |