Search results for "Multi-Criteria Decision Analysis"

showing 6 items of 6 documents

Using AHP methodology for prioritizing the actions in the transport sector in the frame of SECAPs

2020

The drafting of the Sustainable Energy and Climate Action Plan, required for the local authorities joining the Covenant of Mayors initiative, is an opportunity to plan actions reducing greenhouse gas emissions in the transport sector. Choosing the measures to implement requires the application of a methodology that compares them, considering costs and impacts in terms of energy consumption, emissions reduction, and social benefits. The paper aims to develop a method based on the typical approach of the Analytical Hierarchy Process, supporting decisions in the transport sector in the frame of the drafting of SECAP. The method allows determining the priority actions and the optimal allocation…

050210 logistics & transportationProcess (engineering)05 social sciencesFrame (networking)Analytic hierarchy processPlan (drawing)Energy consumption010501 environmental sciencesEnvironmental economicsSustainable Energy and Climate Action Plan (SECAP) transport sector Decision Support System (DSS) Analytic Hierarchy Process (AHP) Multi-Criteria Decision Analysis (MCDA)01 natural sciencesSettore ICAR/05 - TrasportiGreenhouse gasLocal governmentAction plan0502 economics and businessBusiness0105 earth and related environmental sciences
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Development of artificial neural network for condition assessment of bridges based on hybrid decision making method – Feasibility study

2021

Abstract Managing a bridge at an appropriate level of reliability requires knowledge of its technical condition, which is decisive in terms of maintenance and repair activities. This is a multi-criteria decision-making problem which results from the need to allocate limited financial resources to this work. Although many calculation models have been suggested in published sources, none of them has ever met these requirements. The algorithm presented by the authors allows for the assessment of any number of bridges, taking into account the diversity of solutions in terms of materials and structures, and can provide a solution to this problem. This hybrid calculation model, combining the modi…

Artificial neural network (ANN)Railway bridge0209 industrial biotechnologyExtent analysis fuzzy analytic hierarchy process (EA FAHP)Artificial neural networkComputer scienceGeneral EngineeringMulti-criteria decision analysis (MCDA)Analytic hierarchy process02 engineering and technologyCondition assessmentBridge (nautical)ManagementComputer Science ApplicationsReliability engineering020901 industrial engineering & automationDevelopment (topology)Work (electrical)Artificial IntelligenceDecision making methodsDominant analytic hierarchy process (DAHP)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingBridge management system (BMS)Reliability (statistics)Expert Systems with Applications
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SUP R DSS: A sustainability-based decision support & system for road pavements

2019

Road pavement community members are increasingly becoming aware of the need to incorporating the principles of sustainable development into the sector. Policies are also going in this direction and as a consequence in the recent years researchers and practitioners are coming up with new materials, technologies and practices designed to reduce the negative impacts of their activities in the surroundings. Within this framework the road pavements sector is witnessing a paradigm shift towards the development of pavement technologies incorporating high-content of recycled materials, as well as best practices to decrease the overall carbon footprint. These are all promising solutions that to the …

Decision support systemCHAUSSEEComputer science020209 energyStrategy and ManagementStrategy and Management1409 TourismContext (language use)02 engineering and technologyIndustrial and Manufacturing Engineering12. Responsible consumptionTransport engineeringLife cycle thinking; Multi-criteria decision analysis; Sustainability assessment; Sustainable design; Sustainable engineering; Sustainable pavements; Renewable Energy Sustainability and the Environment; 2300; Strategy and Management1409 Tourism Leisure and Hospitality Management; Industrial and Manufacturing Engineering[SPI]Engineering Sciences [physics]11. Sustainability0202 electrical engineering electronic engineering information engineeringSustainable designSettore ICAR/04 - Strade Ferrovie Ed AeroportiSustainable engineeringRenewable EnergySUSTAINABILITY ASSESSMENT0505 lawGeneral Environmental ScienceSustainable developmentSUSTAINABLE DESIGNSustainability and the Environment2300Renewable Energy Sustainability and the EnvironmentSustainability assessment Sustainable pavements Sustainable design Sustainable engineering Life cycle thinking Multi-criteria decision analysisLeisure and Hospitality Management05 social sciencesMULTI-CRITERIA DECISION ANALYSISMultiple-criteria decision analysisSUSTAINABLE ENGINEERING13. Climate actionSustainability050501 criminologyMATERIAU RECYCLEDEVELOPPEMENT DURABLESUSTAINABLE PAVEMENTSLIFE CYCLE THINKINGDecision analysis
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A Hybrid AHP Approach and GIS-Based Methods as Fundamental Tools in the SECAP’s Decision-Making Process

2023

Adapting to climate change and mitigating its impacts are the main challenges for cities today. One objective that the European Commission has set in recent decades is reducing climate change inaction, and several political actions have been implemented. Among these actions, the Covenant of Mayors led to the development and adoption of Sustainable Energy and Climate Action Plans (SECAPs) by many cities worldwide. A challenge that local authorities must face during the development of a SECAP is the identification of the policies to be included in the plan. This paper presents a case study to show the validity of using a hybrid analytic hierarchy process (AHP) approach and various geographic …

Multi-Criteria Decision Analysis (MCDA)Sustainable Energy and Climate Action Plan (SECAP)Decision Support System (DSS)Settore ICAR/05 - Trasportitransport sectorRenewable Energy Sustainability and the EnvironmentGeography Planning and DevelopmentAnalytic Hierarchy Process (AHP)Building and ConstructionManagement Monitoring Policy and LawSustainability
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Net Zero Energy District: norme, strumenti finanziari e modelli decisionali per la transizione energetica urbana

2023

Multi-Criteria Decision AnalysisSettore ICAR/22 - EstimoModelli decisionaliTransizione energetica urbanaNet Zero Energy DistrictStrumenti finanziari
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Multivariate Assessment of Procedures for Molecularly Imprinted Polymer Synthesis for Pesticides Determination in Environmental and Agricultural Samp…

2021

In the case of quantitative and qualitative analysis of pesticides in environmental and food samples, it is required to perform a sample pre-treatment process. It allows to minimalize the impact of interferences on the final results, as well as increase the recovery rate. Nowadays, apart from routinely employed sample preparation techniques such as solid-phase extraction (SPE) or solid-phase microextraction (SPME), the application of molecularly imprinted polymers (MIPs) is gaining greater popularity. It is mainly related to their physicochemical properties, sorption capacity and selectivity, thermo-mechanical resistance, as well as a wide range of polymerization techniques allowing to obta…

TechnologyMultivariate statisticsSample (statistics)molecularly imprinted polymers; pesticides; environmental samples; agricultural samples; multi-criteria decision analysisArticleenvironmental samplesagricultural samplesGeneral Materials ScienceSample preparationProcess engineeringMicroscopyQC120-168.85business.industryTQH201-278.5Extraction (chemistry)Molecularly imprinted polymerSorptionpesticidesPesticideEngineering (General). Civil engineering (General)multi-criteria decision analysisTK1-9971Descriptive and experimental mechanicsmolecularly imprinted polymersEnvironmental scienceAnalytical proceduresElectrical engineering. Electronics. Nuclear engineeringTA1-2040businessMaterials
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