{"title":"长期存在风险/不确定性的建筑项目的可持续性指标:一项研究经验","authors":"E. Fregonara, Sara Pattono","doi":"10.13128/AESTIMUM-24928","DOIUrl":null,"url":null,"abstract":"Aim of the paper is to present the results of a research experience focused on the setting of a sustainability indicator in presence of risk/uncertainty over time. Firstly, a literature review of the most widespread methodologies for the evaluation of project economic sustainability in a life cycle perspective is presented, extrapolating the most relevant research lines; secondly, a four steps research experience is illustrated. The methodology for calculating a stochastic economic-environmental indicator is proposed, by adopting a stochastic Global Cost approach to solve Life Cycle Cost Analysis (LCCA). The input for the analysis are modeled through Probability Distribution Functions, while the durability of components is modeled through the stochastic approach to the Factor Method.","PeriodicalId":53999,"journal":{"name":"Aestimum","volume":"112 1","pages":"173-205"},"PeriodicalIF":0.8000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.13128/AESTIMUM-24928","citationCount":"10","resultStr":"{\"title\":\"A sustainability indicator for building projects in presence of risk/uncertainty over time: a research experience\",\"authors\":\"E. Fregonara, Sara Pattono\",\"doi\":\"10.13128/AESTIMUM-24928\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aim of the paper is to present the results of a research experience focused on the setting of a sustainability indicator in presence of risk/uncertainty over time. Firstly, a literature review of the most widespread methodologies for the evaluation of project economic sustainability in a life cycle perspective is presented, extrapolating the most relevant research lines; secondly, a four steps research experience is illustrated. The methodology for calculating a stochastic economic-environmental indicator is proposed, by adopting a stochastic Global Cost approach to solve Life Cycle Cost Analysis (LCCA). The input for the analysis are modeled through Probability Distribution Functions, while the durability of components is modeled through the stochastic approach to the Factor Method.\",\"PeriodicalId\":53999,\"journal\":{\"name\":\"Aestimum\",\"volume\":\"112 1\",\"pages\":\"173-205\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2018-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.13128/AESTIMUM-24928\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aestimum\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.13128/AESTIMUM-24928\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aestimum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13128/AESTIMUM-24928","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
A sustainability indicator for building projects in presence of risk/uncertainty over time: a research experience
Aim of the paper is to present the results of a research experience focused on the setting of a sustainability indicator in presence of risk/uncertainty over time. Firstly, a literature review of the most widespread methodologies for the evaluation of project economic sustainability in a life cycle perspective is presented, extrapolating the most relevant research lines; secondly, a four steps research experience is illustrated. The methodology for calculating a stochastic economic-environmental indicator is proposed, by adopting a stochastic Global Cost approach to solve Life Cycle Cost Analysis (LCCA). The input for the analysis are modeled through Probability Distribution Functions, while the durability of components is modeled through the stochastic approach to the Factor Method.
期刊介绍：
Aestimum is a peer-reviewed Journal dedicated to the methodological study of appraisal and land economics. Established in 1976 by the Italian Association of Appraisers and Land Economists, which was legally recognized by Ministerial Decree, March 1993. Topics of interests comprise rural, urban and environmental appraisal, evaluation of public investments and land use planning. All the areas under discussion are addressed to the International scene. The interdisciplinary approach is one of the mainstays of this editorial project and all of the above mentioned topics are developed taking into consideration the economic, legal and urban planning aspects. Aestimum is biannual Journal and publishes articles both in Italian and English. Articles submitted are subjected to a double blind peer review process.
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