Abstract
Smart cities provide citizens with information on various urban services and allow them to track the impact of their resource consumption on the overall sustainability of their city The premise of smart cities is that with improved access to information on resource consumption, residents make better use of those resources, resulting in increased sustainability of the city This paper explores the influence of the smart city technologies on individuals' resource consumption behavior, in particular on energy consumption, aiming at achieving environmentally sustainable development This approach combines systems thinking with existing social science theories, such as cognitive and learning theories, to explore the impact of smart city information on individual decision-making and behavioral change Using a CLIOS (complex, large-scale, interconnected, open, and sociotechnical) model, a conceptual soft systems model, the paper explores the impact of smart city technologies on behavioral change of households with regards to energy consumption
| Original language | English |
|---|---|
| Pages (from-to) | 81-86 |
| Number of pages | 6 |
| Journal | Procedia Computer Science |
| Volume | 28 |
| DOIs | |
| State | Published - 2014 |
| Event | 12th Annual Conference on SystemsEngineering Research, CSER 2014 - Redondo Beach, CA, United States Duration: 21 Mar 2014 → 22 Mar 2014 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities
Keywords
- Behavior Change
- CLIOS Model
- Conceptual Systems Model
- Energy Behavior
- Information and Communication Technology
- Smart city
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