{"title":"缩小差距:通过低能耗需求途径模块化建模框架整合行为和社会动态","authors":"Leila Niamir , Felix Creutzig","doi":"10.1016/j.erss.2025.103988","DOIUrl":null,"url":null,"abstract":"<div><div>Demand-side pathways play a key role in achieving the 1.5-degree target and enhancing human well-being. Achieving this requires establishing a systematic bridge between social sciences and climate-energy-economy assessment tools, such as models. The IPCC's sixth assessment report faced challenges in providing robust demand-side scenarios, primarily due to the intricate nature of this challenge and existing knowledge gaps. Nevertheless, it emphasizes the urgent need for a more thorough examination of demand-side pathways. Policymakers and stakeholders are in dire need of improved decision support tools capable of anticipating demand-side interventions, especially behavioral and social interventions, and guide the planning of low-energy demand pathways. In this perspective, we comprehensively assess the drivers of change in the transition toward low-energy demand. We categorize these drivers into behavioral and socio-cultural factors, technological and infrastructural design and adoption, and institutional settings. Moreover, we propose a modular architecture and a complementary modelling framework that facilitates nuanced, policy-relevant scenario exploration. Such exploration is essential for translating scientific insights into actionable measures. Additionally, we call for a comprehensive community effort to co-create and co-develop this modular and complementary modelling platform.</div></div>","PeriodicalId":48384,"journal":{"name":"Energy Research & Social Science","volume":"122 ","pages":"Article 103988"},"PeriodicalIF":6.9000,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Closing the gap: Integrating behavioral and social dynamics through a modular modelling framework for low-energy demand pathways\",\"authors\":\"Leila Niamir , Felix Creutzig\",\"doi\":\"10.1016/j.erss.2025.103988\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Demand-side pathways play a key role in achieving the 1.5-degree target and enhancing human well-being. Achieving this requires establishing a systematic bridge between social sciences and climate-energy-economy assessment tools, such as models. The IPCC's sixth assessment report faced challenges in providing robust demand-side scenarios, primarily due to the intricate nature of this challenge and existing knowledge gaps. Nevertheless, it emphasizes the urgent need for a more thorough examination of demand-side pathways. Policymakers and stakeholders are in dire need of improved decision support tools capable of anticipating demand-side interventions, especially behavioral and social interventions, and guide the planning of low-energy demand pathways. In this perspective, we comprehensively assess the drivers of change in the transition toward low-energy demand. We categorize these drivers into behavioral and socio-cultural factors, technological and infrastructural design and adoption, and institutional settings. Moreover, we propose a modular architecture and a complementary modelling framework that facilitates nuanced, policy-relevant scenario exploration. Such exploration is essential for translating scientific insights into actionable measures. Additionally, we call for a comprehensive community effort to co-create and co-develop this modular and complementary modelling platform.</div></div>\",\"PeriodicalId\":48384,\"journal\":{\"name\":\"Energy Research & Social Science\",\"volume\":\"122 \",\"pages\":\"Article 103988\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2025-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Research & Social Science\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214629625000696\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Research & Social Science","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214629625000696","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Closing the gap: Integrating behavioral and social dynamics through a modular modelling framework for low-energy demand pathways
Demand-side pathways play a key role in achieving the 1.5-degree target and enhancing human well-being. Achieving this requires establishing a systematic bridge between social sciences and climate-energy-economy assessment tools, such as models. The IPCC's sixth assessment report faced challenges in providing robust demand-side scenarios, primarily due to the intricate nature of this challenge and existing knowledge gaps. Nevertheless, it emphasizes the urgent need for a more thorough examination of demand-side pathways. Policymakers and stakeholders are in dire need of improved decision support tools capable of anticipating demand-side interventions, especially behavioral and social interventions, and guide the planning of low-energy demand pathways. In this perspective, we comprehensively assess the drivers of change in the transition toward low-energy demand. We categorize these drivers into behavioral and socio-cultural factors, technological and infrastructural design and adoption, and institutional settings. Moreover, we propose a modular architecture and a complementary modelling framework that facilitates nuanced, policy-relevant scenario exploration. Such exploration is essential for translating scientific insights into actionable measures. Additionally, we call for a comprehensive community effort to co-create and co-develop this modular and complementary modelling platform.
期刊介绍:
Energy Research & Social Science (ERSS) is a peer-reviewed international journal that publishes original research and review articles examining the relationship between energy systems and society. ERSS covers a range of topics revolving around the intersection of energy technologies, fuels, and resources on one side and social processes and influences - including communities of energy users, people affected by energy production, social institutions, customs, traditions, behaviors, and policies - on the other. Put another way, ERSS investigates the social system surrounding energy technology and hardware. ERSS is relevant for energy practitioners, researchers interested in the social aspects of energy production or use, and policymakers.
Energy Research & Social Science (ERSS) provides an interdisciplinary forum to discuss how social and technical issues related to energy production and consumption interact. Energy production, distribution, and consumption all have both technical and human components, and the latter involves the human causes and consequences of energy-related activities and processes as well as social structures that shape how people interact with energy systems. Energy analysis, therefore, needs to look beyond the dimensions of technology and economics to include these social and human elements.