Innovative Practice Research of Visualization of City Garbage Classification Based on Information Design

DOI

10.2991/978-94-6463-815-8_19How to use a DOI?

Keywords

Garbage Classification; Visualization; Information Design; Innovation Strategy

Abstract

Objective: To find a suitable visual language for the information content presented in the current city garbage classification in China, to help the public learn and remember the operation of garbage classification. Methods: Through research on the current situation of at home and abroad, the focus of information transmission was analyzed. Through questionnaire surveys, the pain points of current classification information were pointed out. Then, the graphic innovative design of garbage information was explored, and simulation experiments were conducted to demonstrate that the introduction of information visualization design can attract public attention to garbage classification. Innovative strategies for the visualization of garbage classification information were summarized. Conclusion: The feasibility of information visualization design in the operation of city garbage classification was demonstrated. It reduces the difficulty for the public to passively receive classification information, moderately solves problems such as slow cognition, difficult operation, and confusing symbols, and plays a guiding role of “classification as learning, memory promotes classification”, promoting the public to voluntarily complete environmental protection actions.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Chun Yang
PY  - 2025
DA  - 2025/08/13
TI  - Innovative Practice Research of Visualization of City Garbage Classification Based on Information Design
BT  - Proceedings of the 2025 4th International Conference on Art Design and Digital Technology (ADDT 2025)
PB  - Atlantis Press
SP  - 166
EP  - 178
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-815-8_19
DO  - 10.2991/978-94-6463-815-8_19
ID  - Yang2025
ER  -