Sanz Sanz E., Martinetti D., Napoleone C. (2018). Operational modelling of peri-urban farmland for public action in Mediterranean context. Land Use Policy, 01/06/2018, vol. 75, p. 757-771.
https://doi.org/10.1016/j.landusepol.2018.04.003
https://doi.org/10.1016/j.landusepol.2018.04.003
Titre : | Operational modelling of peri-urban farmland for public action in Mediterranean context (2018) |
Auteurs : | E. Sanz Sanz ; D. Martinetti ; C. Napoleone |
Type de document : | Article |
Dans : | Land Use Policy (vol. 75, June 2018) |
Article en page(s) : | p. 757-771 |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Thésaurus IAMM AGRICULTURE PERIURBAINE ; UTILISATION DES TERRES ; TERRE AGRICOLE ; PLANIFICATION ALIMENTAIRE ; POLITIQUE PUBLIQUE ; METHODE ; FRANCE ; PROVENCE ALPES COTE D'AZURCatégories principales 04 - DEVELOPPEMENT LOCAL ET REGIONAL ; 4.1 - Territoire (généralités). Economie Régionale et Spatiale. Aménagement du Territoire |
Résumé : | Awareness of peri-urban farmland multi-functionality and social concern for food security have prompted public action for the preservation of farmland around cities. A growing literature on peri-urban farming characterises its dynamics and quantifies urban pressure and farmland consumption by urban sprawl. However, such research requires expensive surveys and comprehensive databases that are usually inaccessible to planners and public-policy analysts. This paper presents an analytical framework for peri-urban farmland characterisation that is operational for public action. Based on in-depth analysis of a Mediterranean local case study using surveys, on-site landscape reading, remote sensing analysis and interviews, we classed peri-urban farming into spatial units of peri-urban agriculture (USAPU). The classification obtained over seven municipalities was later used to train a fractional regression model, which was then tested on the rest of this French département (similar to NUTS-3 level), to predict the presence and actual proportion of each USAPU in the total agricultural land of each municipality. Furthermore, we drew up categories of municipality according to USAPU distribution that open perspectives for public action on peri-urban farming. We discussed whether such a model could be used as an instrument for decision-making on food planning, rather than simply for fairly reliable future predictions. This work is the starting point for the development of a methodology characterising complex peri-urban areas, simple to handle and hence operational for policy-makers and planners. |
Cote : | Réservé lecteur CIHEAM |
URL / DOI : | https://doi.org/10.1016/j.landusepol.2018.04.003 |