Abstract
Dockless Bike-sharing systems can be treated as a typical paradigm of the sharing economy. Due to the indiscriminate use and placement of huge bikes, their scheduling rules are complicated, which poses a challenge to the macro-control of the companies To enhance the information dimension of bike Origin-Destination (OD) data, an algorithm based on grid features is proposed to reconstruct travel trajectories of OD data. This paper starts by analyzing and designing metaphors to describe the scheduling rules and trip characteristics of Dockless Bike-Sharing. The evaluation shows that the proposed metaphors are user-friendly to novice users. We argue that metaphors provide an effective way for users to understand abstract ideas in a visual design with a large dataset.
| Original language | English |
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| Title of host publication | 16th International Symposium on Visual Information Communication and Interaction, VINCI 2023 |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9798400707513 |
| DOIs | |
| Publication status | Published - 22 Sept 2023 |
| Externally published | Yes |
| Event | 16th International Symposium on Visual Information Communication and Interaction, VINCI 2023 - Guangzhou, China Duration: 22 Sept 2023 → 24 Sept 2023 |
Publication series
| Name | ACM International Conference Proceeding Series |
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Conference
| Conference | 16th International Symposium on Visual Information Communication and Interaction, VINCI 2023 |
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| Country/Territory | China |
| City | Guangzhou |
| Period | 22/09/23 → 24/09/23 |
Bibliographical note
Publisher Copyright:© 2023 ACM.
Keywords
- dockless bike-sharing
- metaphor
- origin-destination data
- visualization