Abstract
Geospatial Digital Twins combine georeferenced data, technology and sustainable ideas that offer an alternative to constructing new intelligent city paradigms without compromising society's satisfaction. However, creating a digital twin for cities to manage the territory is still a hypothesis, especially in Latin American cities, due to limited resources to gather data and have a vision for urban planning. In addition, most cities do not have protocols to obtain sustainability indicators for each reality to guide the construction of a smart city. We have developed a project to build smart cities in smaller regions, such as university campuses, using a Geospatial Digital twin to address this. The study compares four Ecuadorian university campuses representing different city realities, using a sustainable indicator (green space per capita) to derive new alternatives to manage the campus. Our preliminary results show that the most extensive campus, with more people or a better location, may not always be the smartest. We have also constructed a Geospatial Digital twin for each campus, integrating technologies such as GIS, IoT sensors, sustainable indicators, and resident satisfaction to structure alternatives.
| Original language | English |
|---|---|
| Title of host publication | IEEE Andescon, ANDESCON 2024 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350355284 |
| DOIs | |
| State | Published - 2024 |
| Event | 12th IEEE Andescon, ANDESCON 2024 - Cusco, Peru Duration: 11 Sep 2024 → 13 Sep 2024 |
Publication series
| Name | IEEE Andescon, ANDESCON 2024 - Proceedings |
|---|
Conference
| Conference | 12th IEEE Andescon, ANDESCON 2024 |
|---|---|
| Country/Territory | Peru |
| City | Cusco |
| Period | 11/09/24 → 13/09/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
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
- Digital Twin
- Geospatial data
- GIS
- Smart Campus
- Sustainability
CACES Knowledge Areas
- 116A Computer Science
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