Odour control strategies for a sustainable nuisances action plan

Fasolino, Isidoro; Grimaldi, Michele; Zarra, Tiziano; Naddeo, Vincenzo

doi:10.30955/gnj.002109

Cited by 11 publications

(3 citation statements)

References 6 publications

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“…In that direction, further research may concern the integration of the vulnerability factors here investigated, by considering aspects of potential degradation relating to the issues of energy poverty and environmental justice. Energy dissipation, polluting emissions, ineffective waste management, for example, can affect living conditions of the population [59][60][61][62][63][64], the potential building degradation and, in general, the environment, contributing to determine inequalities and peripheral conditions in urban and metropolitan areas.…”

Section: Discussionmentioning

confidence: 99%

Construction of a Composite Vulnerability Index to Map Peripheralization Risk in Urban and Metropolitan Areas

2020

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As cities and poverty continue to grow worldwide, both spatial and a-spatial peripheralization processes expose entire urban and metropolitan areas at risk of degradation, not just traditional peripheries. The main aim of this paper is to propose a methodology for peripheralization risk assessment, according to the general theory of territorial risk, in order to identify priority areas where mitigation actions should be envisaged through urban and territorial planning. Such an approach constitutes the novelty of the work. So, peripheralization risk is defined for the first time, depending on aggregated vulnerability and exposure. Based on a literature review, a set of vulnerability indicators structured in three dimensions is defined in order to construct the composite vulnerability index in the Italian geographical context. Due to the absence of well-established threshold values, an aggregation method based on fuzzy logic is used. The methodology was applied to a conurbation of 16 municipalities in Campania Region (Italy). Obtained results showed that areas most at risk can be both peripheral and central neighborhoods, but also entire municipalities, demonstrating how mitigation actions are needed at different planning levels. Since the necessary input data are ordinarily available in planning processes, the proposed methodology can be transferred to other geographical contexts.

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Section: Discussionmentioning

confidence: 99%

Construction of a Composite Vulnerability Index to Map Peripheralization Risk in Urban and Metropolitan Areas

2020

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“…Research developments lie in the integration, in the proposed analysis scheme, of specific indicators measuring mitigation of other potential degradation factors, such as those relating to energy poverty and environmental justice [50][51][52], which certainly can contribute to determining peripheral conditions.…”

Section: Discussionmentioning

confidence: 99%

Peripheralization Risk Mitigation: A Decision Support Model to Evaluate Urban Regeneration Programs Effectiveness

et al. 2020

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The term peripheralization indicates a process that can generate social, physical, and environmental degradation in urban areas. In the light of the new urban geography and the socio-economic trends taking place globally, there is a risk that the typical decay of a peripheral condition may affect city in their entirety, regardless of spatial proximity to its centre. Then, regeneration interventions should be targeted primarily at areas with a significant peripheralization risk, understood as a combination of potential degradation factors. Consequently, the decision-makers’ choice of the best design alternative should be informed by the knowledge of pre-existing vulnerability levels, and oriented towards the solution that maximizes their reduction. This is possible when the planning of interventions in the most vulnerable areas, through Urban Regeneration Programs, is able to take into account the results of the project alternatives economic evaluation. Such an approach constitutes the main novelty of the study. So, the aim of the work is to provide a decision support model for the evaluation of urban regeneration interventions effectiveness in areas of high peripheralization risk. To this end, the contribution defines a set of mitigation indicators and the assessment of the most effective design alternative through analytic hierarchy process (AHP). The proposed model was applied to an area of Marcianise Municipality, in Campania Region (Italy).

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“…The second step performs the criteria spatialization [43,44], by using spatial analysis techniques in the underlying GIS environment. Through a multi-criteria approach based on the Geo-TOPSIS method, the third step involves the construction of the intervention priority index [45] as the proximity coefficient associated with each geo-alternative.…”

Section: Macro-phasementioning

confidence: 99%

Planning and Managing the Integrated Water System: A Spatial Decision Support System to Analyze the Infrastructure Performances

et al. 2020

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The demand for water is constantly increasing, while there are factors related to climate change and pollution that make it less and less available. Addressing this problem means being able to face it with a global approach, which takes into account that human beings need water to survive, as well as all the systems on which they rely, namely sanitation, health, education, business, and industry. While human behavior is influenced by the growing awareness on this topic promoted by organizations specifically targeting this mission, the need to protect water resources in operational terms has led mainly to the need for smart urban infrastructure planning, consistent with the objective of promoting sustainable development. To this aim, the authorities in charge of monitoring the implementation of the investment plans by operators need to perform accurate evaluations of the technical quality of the services provided. The present paper introduces a framework to design a Multi-criteria Spatial Decision Support System, conceived to help decision-makers define and analyze the investment priorities of the individual service operators. By building a knowledge model of the network under investigation, decision-makers are aware of physical components of the whole system and are provided with an intervention priority index related to the network objects that could be affected by the planning action to be implemented.

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Odour control strategies for a sustainable nuisances action plan

Cited by 11 publications

References 6 publications

Construction of a Composite Vulnerability Index to Map Peripheralization Risk in Urban and Metropolitan Areas

Construction of a Composite Vulnerability Index to Map Peripheralization Risk in Urban and Metropolitan Areas

Peripheralization Risk Mitigation: A Decision Support Model to Evaluate Urban Regeneration Programs Effectiveness

Planning and Managing the Integrated Water System: A Spatial Decision Support System to Analyze the Infrastructure Performances

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