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Visual Analytics of Urban Transportation from a Bike-Sharing and Taxi Perspective

Authors:

Hai LinAuthors Info & Claims

VINCI '19: Proceedings of the 12th International Symposium on Visual Information Communication and Interaction

Article No.: 1, Pages 1 - 8

https://doi.org/10.1145/3356422.3356433

Published: 20 September 2019 Publication History

Abstract

Understanding the bike-sharing system and traditional taxi system as well as their similarities and differences are essential for bike-sharing rebalancing, taxi dispatching, and urban planning. However, due to the sparseness of record data and the difference in service regions, the relationship between them is indeed obscure, and previous solutions mostly focus only on a single system. In this paper, we propose a visual analytics system to investigate the similarities and differences between bike-sharing and taxi systems. The service region for each bike station is created to fuse bike-sharing data and taxi data. We harness two 3-order tensors to represent them in a unified framework to generate potential patterns by tensor decomposition. The visual analytics system integrates two spatiotemporal data sources by analyzing the patterns that are typical of each data source and the patterns that are common to both data sources to assist users in better discovering the relationships between the taxi system and the bike-sharing system. We demonstrate the effectiveness of our system through real-world case studies.

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Cited By

Zhang MTian DLiu JLi X(2024)Analysis of Taxi Demand and Traffic Influencing Factors in Urban Core Area Based on Data Field Theory and GWR Model: A Case Study of BeijingSustainability10.3390/su1617738616:17(7386)Online publication date: 27-Aug-2024
https://doi.org/10.3390/su16177386
Clarinval ADumas B(2022)Intra-City Traffic Data Visualization: A Systematic Literature ReviewIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2021.309203623:7(6298-6315)Online publication date: Jul-2022
https://doi.org/10.1109/TITS.2021.3092036
Tao YTang Y(2022)Progressive visual analysis of traffic data based on hierarchical topic refinement and detail analysisJournal of Visualization10.1007/s12650-022-00879-y26:2(367-384)Online publication date: 16-Oct-2022
https://doi.org/10.1007/s12650-022-00879-y
Show More Cited By

Index Terms

Visual Analytics of Urban Transportation from a Bike-Sharing and Taxi Perspective
1. Human-centered computing
  1. Visualization
    1. Visualization systems and tools

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cover image ACM Other conferences

VINCI '19: Proceedings of the 12th International Symposium on Visual Information Communication and Interaction

September 2019

201 pages

ISBN:9781450376266

DOI:10.1145/3356422

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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East China Normal University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 September 2019

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VINCI'2019

VINCI'2019: The 12th International Symposium on Visual Information Communication and Interaction

September 20 - 22, 2019

Shanghai, China

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Overall Acceptance Rate 71 of 193 submissions, 37%

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Cited By

Zhang MTian DLiu JLi X(2024)Analysis of Taxi Demand and Traffic Influencing Factors in Urban Core Area Based on Data Field Theory and GWR Model: A Case Study of BeijingSustainability10.3390/su1617738616:17(7386)Online publication date: 27-Aug-2024
https://doi.org/10.3390/su16177386
Clarinval ADumas B(2022)Intra-City Traffic Data Visualization: A Systematic Literature ReviewIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2021.309203623:7(6298-6315)Online publication date: Jul-2022
https://doi.org/10.1109/TITS.2021.3092036
Tao YTang Y(2022)Progressive visual analysis of traffic data based on hierarchical topic refinement and detail analysisJournal of Visualization10.1007/s12650-022-00879-y26:2(367-384)Online publication date: 16-Oct-2022
https://doi.org/10.1007/s12650-022-00879-y
Gonzalez JDang T(2021)OutViz: Visualizing the Outliers of Multivariate Time SeriesProceedings of the 12th International Conference on Advances in Information Technology10.1145/3468784.3471606(1-5)Online publication date: 29-Jun-2021
https://dl.acm.org/doi/10.1145/3468784.3471606
Fujiwara TShilpika Sakamoto NNonaka JYamamoto KMa K(2021)A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality ReductionIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.302888927:2(1601-1611)Online publication date: Feb-2021
https://doi.org/10.1109/TVCG.2020.3028889
Dai HTao YLin H(2020)Visual analytics of urban transportation from a bike-sharing and taxi perspectiveJournal of Visualization10.1007/s12650-020-00673-823:6(1053-1070)Online publication date: 20-Jul-2020
https://dl.acm.org/doi/10.1007/s12650-020-00673-8

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