Visualizing interchange patterns in massive movement data
Massive amount of movement data, such as daily trips made by millions of passengers in a city, are widely available nowadays. They are a highly valuable means not only for unveiling human mobility patterns, but also for assisting transportation planning, in particular for metropolises around the wor...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/101665 http://hdl.handle.net/10220/16846 |
| _version_ | 1811690850703376384 |
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| author | Zeng, Wei Fu, Chi-Wing Arisona, Stefan Müller Qu, Huamin |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Zeng, Wei Fu, Chi-Wing Arisona, Stefan Müller Qu, Huamin |
| author_sort | Zeng, Wei |
| collection | NTU |
| description | Massive amount of movement data, such as daily trips made by millions of passengers in a city, are widely available nowadays. They are a highly valuable means not only for unveiling human mobility patterns, but also for assisting transportation planning, in particular for metropolises around the world. In this paper, we focus on a novel aspect of visualizing and analyzing massive movement data, i.e., the interchange pattern, aiming at revealing passenger redistribution in a traffic network. We first formulate a new model of circos figure, namely the interchange circos diagram, to present interchange patterns at a junction node in a bundled fashion, and optimize the color assignments to respect the connections within and between junction nodes. Based on this, we develop a family of visual analysis techniques to help users interactively study interchange patterns in a spatiotemporal manner: 1) multi-spatial scales: from network junctions such as train stations to people flow across and between larger spatial areas; and 2) temporal changes of patterns from different times of the day. Our techniques have been applied to real movement data consisting of hundred thousands of trips, and we present also two case studies on how transportation experts worked with our interface. |
| first_indexed | 2024-10-01T06:10:33Z |
| format | Journal Article |
| id | ntu-10356/101665 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:10:33Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/1016652020-05-28T07:41:41Z Visualizing interchange patterns in massive movement data Zeng, Wei Fu, Chi-Wing Arisona, Stefan Müller Qu, Huamin School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics Massive amount of movement data, such as daily trips made by millions of passengers in a city, are widely available nowadays. They are a highly valuable means not only for unveiling human mobility patterns, but also for assisting transportation planning, in particular for metropolises around the world. In this paper, we focus on a novel aspect of visualizing and analyzing massive movement data, i.e., the interchange pattern, aiming at revealing passenger redistribution in a traffic network. We first formulate a new model of circos figure, namely the interchange circos diagram, to present interchange patterns at a junction node in a bundled fashion, and optimize the color assignments to respect the connections within and between junction nodes. Based on this, we develop a family of visual analysis techniques to help users interactively study interchange patterns in a spatiotemporal manner: 1) multi-spatial scales: from network junctions such as train stations to people flow across and between larger spatial areas; and 2) temporal changes of patterns from different times of the day. Our techniques have been applied to real movement data consisting of hundred thousands of trips, and we present also two case studies on how transportation experts worked with our interface. 2013-10-24T09:01:22Z 2019-12-06T20:42:30Z 2013-10-24T09:01:22Z 2019-12-06T20:42:30Z 2013 2013 Journal Article Zeng, W., Fu, C.-W., Arisona, S. M., & Qu, H. (2013). Visualizing interchange patterns in massive movement data. Computer graphics forum, 32(3pt3), 271-280. 0167-7055 https://hdl.handle.net/10356/101665 http://hdl.handle.net/10220/16846 10.1111/cgf.12114 en Computer graphics forum |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics Zeng, Wei Fu, Chi-Wing Arisona, Stefan Müller Qu, Huamin Visualizing interchange patterns in massive movement data |
| title | Visualizing interchange patterns in massive movement data |
| title_full | Visualizing interchange patterns in massive movement data |
| title_fullStr | Visualizing interchange patterns in massive movement data |
| title_full_unstemmed | Visualizing interchange patterns in massive movement data |
| title_short | Visualizing interchange patterns in massive movement data |
| title_sort | visualizing interchange patterns in massive movement data |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics |
| url | https://hdl.handle.net/10356/101665 http://hdl.handle.net/10220/16846 |
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