The localization of high vulnerability territorial plants has always been a hotly debated issue involving a large and diverse number of bodies: governmental institutions (national, regional and local authorities) as well as concerns of the local community that, generally, contrast with the administrative choice, thus generating social conflict. Therefore, the localization of a Municipal Solid Waste Treatment plant (MSW) may take a long time. Often, the decision-making procedure is based on a top-down process without the involvement of the local population, which is made aware of the decision to locate the plant in the bordering areas only in the final phase. Consequently, the resident community living in the involved areas reacts by instigating urban unrest that jeopardizes the safety and liveability of the city system. This study describes a methodology aimed at identifying the optimal location for an urban solid waste treatment plant. The methodology is based on the definition of variables geared towards social and territorial safeguarding and outlines a procedure directed towards collective participation, which can prevent social conflicts and the onset of the NIMBY syndrome (Bobbio 2011). The NIMBY syndrome (Not In My Backyard) is perhaps the best-known form of social contrast expressing a “localized” refusal related to a use of land that is disapproved of by the local community. In order to avoid such conflict, in this study we propose a procedure to identify the areas for the locations that is based both on objective spatial data and on the opinion of the local community according to a “bottom-up” model. The proposal procedure has been tested in Campania where the selection of areas for the localization of plants takes into consideration the combination of parameters derived from the spatial analysis. The “optimal localization” areas are characterized by high environmental, economic and social compatibility.
A GIS-based and socially participative procedure for the location of high vulnerability territorial functions / LA ROCCA, ROSA ANNA; Fistola, R.. - (2016), pp. 275-280. (Intervento presentato al convegno 9th International Conference on Innovation in Urban and Regional Planning tenutosi a Torino nel 14-15 settembre).
A GIS-based and socially participative procedure for the location of high vulnerability territorial functions
LA ROCCA, ROSA ANNA
;Fistola, R.
2016
Abstract
The localization of high vulnerability territorial plants has always been a hotly debated issue involving a large and diverse number of bodies: governmental institutions (national, regional and local authorities) as well as concerns of the local community that, generally, contrast with the administrative choice, thus generating social conflict. Therefore, the localization of a Municipal Solid Waste Treatment plant (MSW) may take a long time. Often, the decision-making procedure is based on a top-down process without the involvement of the local population, which is made aware of the decision to locate the plant in the bordering areas only in the final phase. Consequently, the resident community living in the involved areas reacts by instigating urban unrest that jeopardizes the safety and liveability of the city system. This study describes a methodology aimed at identifying the optimal location for an urban solid waste treatment plant. The methodology is based on the definition of variables geared towards social and territorial safeguarding and outlines a procedure directed towards collective participation, which can prevent social conflicts and the onset of the NIMBY syndrome (Bobbio 2011). The NIMBY syndrome (Not In My Backyard) is perhaps the best-known form of social contrast expressing a “localized” refusal related to a use of land that is disapproved of by the local community. In order to avoid such conflict, in this study we propose a procedure to identify the areas for the locations that is based both on objective spatial data and on the opinion of the local community according to a “bottom-up” model. The proposal procedure has been tested in Campania where the selection of areas for the localization of plants takes into consideration the combination of parameters derived from the spatial analysis. The “optimal localization” areas are characterized by high environmental, economic and social compatibility.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
