Metaphor Design of Dockless Bike-sharing Based on Spatio-temporal Geographic Data

Kelin Li, Hong Yin, Dong Li, Kang Zhang, Changbo Wang

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

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 languageEnglish
Title of host publication16th International Symposium on Visual Information Communication and Interaction, VINCI 2023
PublisherAssociation for Computing Machinery
ISBN (Electronic)9798400707513
DOIs
Publication statusPublished - 22 Sept 2023
Externally publishedYes
Event16th International Symposium on Visual Information Communication and Interaction, VINCI 2023 - Guangzhou, China
Duration: 22 Sept 202324 Sept 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference16th International Symposium on Visual Information Communication and Interaction, VINCI 2023
Country/TerritoryChina
CityGuangzhou
Period22/09/2324/09/23

Bibliographical note

Publisher Copyright:
© 2023 ACM.

Keywords

  • dockless bike-sharing
  • metaphor
  • origin-destination data
  • visualization

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