In response to the challenges posed by climate change, cities are increasingly adopting systemic perspectives that incorporate bottom-up strategies, such as social innovation, moving away from traditional, technocratic and siloed, top-down approaches to climate neutrality. However, achieving large-scale socio-technical transformations necessitates addressing behavioural change among citizens. While behavioural change has traditionally been studied at the individual level through the widespread adaptation of models such as the Theory of Planned Behaviour (TPB) or the Transtheoretical Model of Behaviour Change (TTM) across disciplines, existing literature offers limited insights into their role and adaption in systemic transformations, particularly within the context of climate transitions. Nonetheless, there is a growing consensus—both in academic discourse and within the public sector, including policymakers and climate transition teams—on the critical need to integrate understanding and assessment of behavioural change into systemic climate transition action plans and strategies. Cities committed to the EU Mission of achieving 100 climate-neutral and smart cities by 2030 are actively selecting greenhouse gas (GHG) and non-GHG indicators to monitor, evaluate, and learn the systemic impacts of their climate actions. This study examines the indicator selections of 39 cities within the EU-funded NetZeroCities project using an adaptation of the TTM to categorise indicators of behavioural change into the stages of change of the TTM. Specifically, it aims to (1) provide emerging evidence on cities’ interest in monitoring behavioural change in relation to climate actions and (2) identify the stage of behavioural change that cities across Europe intend to assess. The study’s novel findings contribute not only to the transdisciplinary literature but also offer valuable insights for policymaking, supporting more effective and holistic climate transition strategies.

Monitoring behavioural change in to-be-climate-neutral smart cities adapting the Transtheoretical Model of Behaviour Change (TTM)

R. Mondal;S. Bresciani;F. Rizzo
2025-01-01

Abstract

In response to the challenges posed by climate change, cities are increasingly adopting systemic perspectives that incorporate bottom-up strategies, such as social innovation, moving away from traditional, technocratic and siloed, top-down approaches to climate neutrality. However, achieving large-scale socio-technical transformations necessitates addressing behavioural change among citizens. While behavioural change has traditionally been studied at the individual level through the widespread adaptation of models such as the Theory of Planned Behaviour (TPB) or the Transtheoretical Model of Behaviour Change (TTM) across disciplines, existing literature offers limited insights into their role and adaption in systemic transformations, particularly within the context of climate transitions. Nonetheless, there is a growing consensus—both in academic discourse and within the public sector, including policymakers and climate transition teams—on the critical need to integrate understanding and assessment of behavioural change into systemic climate transition action plans and strategies. Cities committed to the EU Mission of achieving 100 climate-neutral and smart cities by 2030 are actively selecting greenhouse gas (GHG) and non-GHG indicators to monitor, evaluate, and learn the systemic impacts of their climate actions. This study examines the indicator selections of 39 cities within the EU-funded NetZeroCities project using an adaptation of the TTM to categorise indicators of behavioural change into the stages of change of the TTM. Specifically, it aims to (1) provide emerging evidence on cities’ interest in monitoring behavioural change in relation to climate actions and (2) identify the stage of behavioural change that cities across Europe intend to assess. The study’s novel findings contribute not only to the transdisciplinary literature but also offer valuable insights for policymaking, supporting more effective and holistic climate transition strategies.
2025
Proceedings of the international conferences on big data analytics, data mining and computational intelligence 2025, connected smart cities 2025, and e-health 2025.
978-989-8704-70-2
Monitoring; Behavioural Change; Systemic Transformation; Climate Neutrality; Transtheoretical Model of Behaviour Change (TTM)
File in questo prodotto:
File Dimensione Formato  
MCCSIS Proceedings.pdf

accesso aperto

Descrizione: MCCSIS 2025 Proceedings
: Publisher’s version
Dimensione 425.5 kB
Formato Adobe PDF
425.5 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1294498
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact