Closing the gap: Integrating behavioral and social dynamics through a modular modelling framework for low-energy demand pathways

20444 8 109127 2 330448 document 109127 1-s2.0-S2214629625000696-main.pdf application/pdf 7e02a0c304fcbd51d7dfaf0ee9339e3b MD5 2250383 2025-03-11 16:00:39 https://pure.iiasa.ac.at/id/eprint/20444/1/1-s2.0-S2214629625000696-main.pdf 20444 1 1 application/pdf text en public cc_by_4

1-s2.0-S2214629625000696-main.pdf

published 109138 1 330464 document 109138 indexcodes.txt text/x-c++ 0eac5b538be2e4d57eabe71bdb0fa9e8 MD5 20987 2025-03-11 16:10:32 https://pure.iiasa.ac.at/id/eprint/20444/2/indexcodes.txt 20444 2 2 text/x-c++ other Generate index codes conversion from text to indexcodes en public

indexcodes.txt

lightbox.jpg

preview.jpg

medium.jpg

small.jpg

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/109127 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/109127 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/109127 archive 353 disk0/00/02/04/44 2025-03-11 16:02:06 2026-04-10 08:11:05 2025-03-11 16:02:06 article show Niamir L. 9056 0000-0002-0285-5542 Creutzig F. Closing the gap: Integrating behavioral and social dynamics through a modular modelling framework for low-energy demand pathways pub ECE S3 Energy demand, Complementary modelling, Behavioral and lifestyle changes, Stakeholders engagement, Multi-level governance 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. 2025-04 published Elsevier doi:10.1016/j.erss.2025.103988 3145 public Energy Research & Social Science 122 e103988 TRUE 2214-6296 Urban Futures Hub Energy Demand Changes Induced by Technological and Social Innovations (EDITS) no info:eu-repo/semantics/article