English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

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

Niamir, L., Creutzig, F. (2025): Closing the gap: Integrating behavioral and social dynamics through a modular modelling framework for low-energy demand pathways. - Energy Research and Social Science, 122, 103988.
https://doi.org/10.1016/j.erss.2025.103988

Item is

Files

show Files
hide Files
:
1-s2.0-S2214629625000696-main.pdf (Publisher version), 3MB
Name:
1-s2.0-S2214629625000696-main.pdf
Description:
-
OA-Status:
Hybrid
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-

Locators

show

Creators

show
hide
 Creators:
Niamir, Leila1, Author
Creutzig, Felix2, Author                 
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

Content

show
hide
Free keywords: Energy demand, Complementary modelling, Behavioral and lifestyle changes, Stakeholders engagement, Multi-level governance
 Abstract: 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.

Details

show
hide
Language(s): eng - English
 Dates: 2024-10-022025-02-132025-02-282025-04-01
 Publication Status: Finally published
 Pages: 11
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.erss.2025.103988
PIKDOMAIN: RD5 - Climate Economics and Policy - MCC Berlin
Organisational keyword: RD5 - Climate Economics and Policy - MCC Berlin
Working Group: Cities: Data Science and Sustainable Planning
Research topic keyword: Energy
Research topic keyword: Climate Policy
Model / method: Quantitative Methods
MDB-ID: No data to archive
OATYPE: Hybrid Open Access
 Degree: -

Event

show

Legal Case

show

Project information

show hide
Project name : CircEular
Grant ID : 101056810
Funding program : Horizon Europe (HE)
Funding organization : European Commission (EC)

Source 1

show
hide
Title: Energy Research and Social Science
Source Genre: Journal, SCI, Scopus
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 122 Sequence Number: 103988 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/energy-research-social-science
Publisher: Elsevier