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dc.contributor.authorMohammad Zarei
dc.contributor.authorMojtaba Maghrebi
dc.date.accessioned2022-01-30T19:24:15Z
dc.date.available2022-01-30T19:24:15Z
dc.date.issued2020
dc.identifier.other%28ASCE%29CP.1943-5487.0000860.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4265234
dc.description.abstractEnergy demand is increasing globally, and the building sector accounts for more than a third of energy use in some countries. Thus, by means of normative interventions (NIs), the authorities have started investing in improving the energy behavior of households as an important factor affecting the energy consumption of buildings. In this regard, ecofeedback programs and the appointment of environmental champions (ECs) in the target community are considered practical solutions. This paper presents a novel approach, characteristic-based selection of households (CBSH), to improve the short-term and long-term effects of such NIs by focusing on characteristics of the energy behavior of households. In the simulation model, the household’s energy consumption behavior and social network can be altered to study the effectiveness of different scenarios for a selection of households as ECs or ecofeedback attendants. According to the simulation results, the outcome of NIs can be promoted by using CBSH to select ecofeedback participants as well as integrating ECs with ecofeedback programs.
dc.publisherASCE
dc.titleImproving Efficiency of Normative Interventions by Characteristic-Based Selection of Households: An Agent-Based Approach
dc.typeJournal Paper
dc.journal.volume34
dc.journal.issue1
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/(ASCE)CP.1943-5487.0000860
dc.page04019042
dc.treeJournal of Computing in Civil Engineering:;2020:;Volume ( 034 ):;issue: 001
dc.contenttypeFulltext


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