The ‘last mile’ for climate data supporting local adaptation
Non-technical summary The ‘last mile’ is a transportation planning term that describes the movement of people and goods from a transportation hub to a final destination; a local place such as a home or a shop. This is the final step of the logistics process that unites the product with its new owner...
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2021-01-01
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| Series: | Global Sustainability |
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| Online Access: | https://www.cambridge.org/core/product/identifier/S2059479821000120/type/journal_article |
| _version_ | 1811155698546900992 |
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| author | Louis Celliers María Máñez Costa David Samuel Williams Sergio Rosendo |
| author_facet | Louis Celliers María Máñez Costa David Samuel Williams Sergio Rosendo |
| author_sort | Louis Celliers |
| collection | DOAJ |
| description | Non-technical summary
The ‘last mile’ is a transportation planning term that describes the movement of people and goods from a transportation hub to a final destination; a local place such as a home or a shop. This is the final step of the logistics process that unites the product with its new owner. We present and explain challenges of science-guided adaptation at the local level, and how this is an equivalent ‘last mile’ challenge for climate adaptation.
Technical summary
The ‘last mile’ issue, a term used in transportation planning, describes the movement of people and goods from a transportation hub to a final destination, a local place such as a home or a shop. This is the critical final step of the logistics process that unites the product with its new owner, and the point of the value chain. This analogy aptly describes the last steps between presenting scientific evidence of climate change to decision-makers for use in local adaptation and planning. Climate change data (observational and model simulation data e.g. climate change projections and predictions) remain under-utilised, especially by local institutions and actors for which adaptation is a priority. The assumptions and assertions of the classical data–information–knowledge–wisdom are challenged, and a derivative form of the information hierarchy is proposed. Elements of the classical information hierarchy are offset by four balancing elements of access (to data); usability (of information); governance (of knowledge) and politics (of wisdom). These balancing elements and their relatedness coincide with newer models of innovation relating to the interaction between different stakeholders across the different levels of governance, the inclusion of stakeholder expectations, transparency and accountability.
Social media summary
Climate data to wise decision-making in the ‘last mile’: a novel perspective on science-guided local adaptation.
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| first_indexed | 2024-04-10T04:38:54Z |
| format | Article |
| id | doaj.art-b4ec4dddbc174de98f6af8143cdea6d1 |
| institution | Directory Open Access Journal |
| issn | 2059-4798 |
| language | English |
| last_indexed | 2024-04-10T04:38:54Z |
| publishDate | 2021-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Global Sustainability |
| spelling | doaj.art-b4ec4dddbc174de98f6af8143cdea6d12023-03-09T12:43:41ZengCambridge University PressGlobal Sustainability2059-47982021-01-01410.1017/sus.2021.12The ‘last mile’ for climate data supporting local adaptationLouis Celliers0https://orcid.org/0000-0001-5096-1713María Máñez Costa1https://orcid.org/0000-0001-5415-0811David Samuel Williams2https://orcid.org/0000-0002-1418-589XSergio Rosendo3https://orcid.org/0000-0002-3095-9824Climate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon, Fischertwiete 1, 20095 Hamburg, GermanyClimate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon, Fischertwiete 1, 20095 Hamburg, GermanyClimate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon, Fischertwiete 1, 20095 Hamburg, Germany Istanbul Policy Center, Bankalar Cad. No. 2 Minerva Han 34420 Karakoy, Istanbul, TurkeyInterdisciplinary Centre of Social Sciences (CICS.NOVA), Faculty of Social Sciences and Humanities (FCSH), Nova University of Lisbon (UNL), Avenida de Berna, 26-C/1069-061, Lisbon, PortugalNon-technical summary The ‘last mile’ is a transportation planning term that describes the movement of people and goods from a transportation hub to a final destination; a local place such as a home or a shop. This is the final step of the logistics process that unites the product with its new owner. We present and explain challenges of science-guided adaptation at the local level, and how this is an equivalent ‘last mile’ challenge for climate adaptation. Technical summary The ‘last mile’ issue, a term used in transportation planning, describes the movement of people and goods from a transportation hub to a final destination, a local place such as a home or a shop. This is the critical final step of the logistics process that unites the product with its new owner, and the point of the value chain. This analogy aptly describes the last steps between presenting scientific evidence of climate change to decision-makers for use in local adaptation and planning. Climate change data (observational and model simulation data e.g. climate change projections and predictions) remain under-utilised, especially by local institutions and actors for which adaptation is a priority. The assumptions and assertions of the classical data–information–knowledge–wisdom are challenged, and a derivative form of the information hierarchy is proposed. Elements of the classical information hierarchy are offset by four balancing elements of access (to data); usability (of information); governance (of knowledge) and politics (of wisdom). These balancing elements and their relatedness coincide with newer models of innovation relating to the interaction between different stakeholders across the different levels of governance, the inclusion of stakeholder expectations, transparency and accountability. Social media summary Climate data to wise decision-making in the ‘last mile’: a novel perspective on science-guided local adaptation. https://www.cambridge.org/core/product/identifier/S2059479821000120/type/journal_articleclimate changeinformation hierarchylocal adaptationsocial entropy |
| spellingShingle | Louis Celliers María Máñez Costa David Samuel Williams Sergio Rosendo The ‘last mile’ for climate data supporting local adaptation Global Sustainability climate change information hierarchy local adaptation social entropy |
| title | The ‘last mile’ for climate data supporting local adaptation |
| title_full | The ‘last mile’ for climate data supporting local adaptation |
| title_fullStr | The ‘last mile’ for climate data supporting local adaptation |
| title_full_unstemmed | The ‘last mile’ for climate data supporting local adaptation |
| title_short | The ‘last mile’ for climate data supporting local adaptation |
| title_sort | last mile for climate data supporting local adaptation |
| topic | climate change information hierarchy local adaptation social entropy |
| url | https://www.cambridge.org/core/product/identifier/S2059479821000120/type/journal_article |
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