Abstract
In this paper, we design a layer-based framework for the smart city. This structure includes three sub-layers as human-institutional, physical, and data layers. We discuss the role of technology, individuals' and social capability in changing energy consumption behaviors. We designed a survey with three sub-layers: human-institutional, physical, and data layers to analyze the effect of technology, and individuals' and social variables in the households' energy consumption behavior. The individuals who live in the Greater New York City has been considered as the case study in this research.
| Original language | English |
|---|---|
| Title of host publication | 9th Annual IEEE International Systems Conference, SysCon 2015 - Proceedings |
| Pages | 373-376 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781479959273 |
| DOIs | |
| State | Published - 2 Jun 2015 |
| Event | 9th Annual IEEE International Systems Conference, SysCon 2015 - Vancouver, Canada Duration: 13 Apr 2015 → 16 Apr 2015 |
Publication series
| Name | 9th Annual IEEE International Systems Conference, SysCon 2015 - Proceedings |
|---|
Conference
| Conference | 9th Annual IEEE International Systems Conference, SysCon 2015 |
|---|---|
| Country/Territory | Canada |
| City | Vancouver |
| Period | 13/04/15 → 16/04/15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 11 Sustainable Cities and Communities
Keywords
- Behavioral Change
- Case Study
- Energy Behavior
- Social and Technical Structure
- Systems Thinking
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