| Title |
Greencoin: prototype of a mobile application facilitating and evidencing pro-environmental behavior of citizens |
| ID_Doc |
40737 |
| Authors |
Radziszewski, K; Anacka, H; Obracht-Prondzynska, H; Tomczak, D; Wereszko, K; Weichbroth, P |
| Title |
Greencoin: prototype of a mobile application facilitating and evidencing pro-environmental behavior of citizens |
| Year |
2021 |
| Published |
|
| DOI |
10.1016/j.procs.2021.09.037 |
| Abstract |
Among many global challenges, climate change is one of the biggest challenges of our times. While it is one of the most devastating problems humanity has ever faced, one question naturally arises: can individuals make a difference? We believe that everyone can contribute and make a difference to the community and lives of others. However, there is still a lack of effective strategies to promote and facilitate pro-environmental behavior of individuals. To fill this gap, in this paper, we introduce and discuss the Greencoin mobile application prototype. The app is built on existing intelligent data-driven technologies, including supervised and unsupervised learning techniques. Since its end-users will mostly concern the city dwellers, the project falls into the scope of the ongoing research in the area of smart city applications. Nevertheless, the application is still in the design phase, we believe it is a good starting point to spark discussion on its further directions of development, as well as to draw the attention of both national and international audiences to the issues raised. (C) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://crativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of KES International. |
| Author Keywords |
Digital Innovation; Mobile Prototype; Smart City |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000720289002076 |
| WoS Category |
Automation & Control Systems; Computer Science, Artificial Intelligence; Computer Science, Information Systems; Computer Science, Theory & Methods; Engineering, Electrical & Electronic; Mathematics, Applied |
| Research Area |
Automation & Control Systems; Computer Science; Engineering; Mathematics |
| PDF |
https://doi.org/10.1016/j.procs.2021.09.037
|