| Title |
Visual Analysis of a Smart City's Energy Consumption |
| ID_Doc |
40240 |
| Authors |
Trabucco, JT; Derrible, S; Lee, D; Marai, GE |
| Title |
Visual Analysis of a Smart City's Energy Consumption |
| Year |
2019 |
| Published |
Multimodal Technologies And Interaction, 3, 2 |
| DOI |
10.3390/mti3020030 |
| Abstract |
Through the use of open data portals, cities, districts and countries are increasingly making available energy consumption data. These data have the potential to inform both policymakers and local communities. At the same time, however, these datasets are large and complicated to analyze. We present the activity-centered-design, from requirements to evaluation, of a web-based visual analysis tool to explore energy consumption in Chicago. The resulting application integrates energy consumption data and census data, making it possible for both amateurs and experts to analyze disaggregated datasets at multiple levels of spatial aggregation and to compare temporal and spatial differences. An evaluation through case studies and qualitative feedback demonstrates that this visual analysis application successfully meets the goals of integrating large, disaggregated urban energy consumption datasets and of supporting analysis by both lay users and experts. |
| Author Keywords |
interactive visualization; visual design; sustainability |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000623567400008 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Cybernetics; Computer Science, Information Systems |
| Research Area |
Computer Science |
| PDF |
https://www.mdpi.com/2414-4088/3/2/30/pdf?version=1559220624
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