| Title |
An Ecosystem Map to Communicate Digital Solutions Supporting a Climate-Friendly Smart City District |
| ID_Doc |
36126 |
| Authors |
Elberzhager, F; Schmitt, A; Schweitzer, S; Storck, S |
| Title |
An Ecosystem Map to Communicate Digital Solutions Supporting a Climate-Friendly Smart City District |
| Year |
2023 |
| Published |
|
| DOI |
10.1016/j.procs.2023.09.018 |
| Abstract |
Climate change and its consequences are currently a very pressing topic for cities. Digital solutions can help in this regard, for example, to inform citizens and provide digital services aimed at fostering climate-friendly behavior. In the EnStadt:Pfaff research project, we are developing a climate-friendly smart city district. Part of this is digitalization, with the main goal being the implementation of a smart city district digital ecosystem providing digital solutions to the people of the district, which is currently still under construction. So far, we have already developed some digital solutions with different technology readiness levels. One major question we have faced, however, was how to inform the public about these solutions. We decided to do this in various ways, such as a classical project webpage, events, and videos. In order to have one main entry point for the public to explore our solutions, we have developed a so-called ecosystem map. Four of the digital solutions are presented there to show what kind of digital solutions might be part of the future smart city district digital ecosystem. In this paper, we report on how we created the map, provide the four digital solution examples shown on the map, and present initial feedback we received regarding our solutions. (c) 2023 The Authors. Published by Elsevier B.V. |
| Author Keywords |
Smart City; Climate Change; Digitalization; Communication; Digital Ecosystem Map |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:001196890200014 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Information Systems; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Engineering |
| PDF |
https://doi.org/10.1016/j.procs.2023.09.018
|