Information visualization project : urban transport visualization
Information visualization was used to communicate information clearly and effectively through graphical means. Besides that, information visualization can helps to uncover trends, realize insight, explore sources and tell stories. This project first presents a preliminary visualization using EZ-link...
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2015
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sg-ntu-dr.10356-626372023-03-03T20:33:03Z Information visualization project : urban transport visualization Wong, Nicholas Mun Hoi Fu Chi Wing School of Computer Engineering DRNTU::Engineering::Computer science and engineering Information visualization was used to communicate information clearly and effectively through graphical means. Besides that, information visualization can helps to uncover trends, realize insight, explore sources and tell stories. This project first presents a preliminary visualization using EZ-link dataset, this visualization allows user to uncover trends such as peak and non-peak period, commuter’s preferred bus services, estimated waiting time and riding time. The second visualization further uncovered commuter’s decision making before boarding buses, it also identify the loyalty of the commuter’s toward a bus service. This project identified that commuter’s decision may be based on ride distance, waiting time or crowdedness. The visualizations can be handled effortlessly by the user which is simple to learn and use, most importantly the visualizations allows user to construct their stories based on the dataset. Bachelor of Engineering (Computer Science) 2015-04-24T04:06:51Z 2015-04-24T04:06:51Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/62637 en Nanyang Technological University 62 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering Wong, Nicholas Mun Hoi Information visualization project : urban transport visualization |
description |
Information visualization was used to communicate information clearly and effectively through graphical means. Besides that, information visualization can helps to uncover trends, realize insight, explore sources and tell stories. This project first presents a preliminary visualization using EZ-link dataset, this visualization allows user to uncover trends such as peak and non-peak period, commuter’s preferred bus services, estimated waiting time and riding time. The second visualization further uncovered commuter’s decision making before boarding buses, it also identify the loyalty of the commuter’s toward a bus service. This project identified that commuter’s decision may be based on ride distance, waiting time or crowdedness. The visualizations can be handled effortlessly by the user which is simple to learn and use, most importantly the visualizations allows user to construct their stories based on the dataset. |
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Fu Chi Wing |
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Fu Chi Wing Wong, Nicholas Mun Hoi |
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Final Year Project |
author |
Wong, Nicholas Mun Hoi |
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Wong, Nicholas Mun Hoi |
title |
Information visualization project : urban transport visualization |
title_short |
Information visualization project : urban transport visualization |
title_full |
Information visualization project : urban transport visualization |
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Information visualization project : urban transport visualization |
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Information visualization project : urban transport visualization |
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information visualization project : urban transport visualization |
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2015 |
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http://hdl.handle.net/10356/62637 |
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1759854410170630144 |