NDLI: A visual and computational analysis approach for exploring significant locations and time periods along a bus route ( GIS '16 )

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A visual and computational analysis approach for exploring significant locations and time periods along a bus route ( GIS '16 )

Content Provider	ACM Digital Library
Author	Mazimpaka, Jean Damascène Timpf, Sabine
Abstract	Understanding human mobility is important for planning and delivering various services in urban area. An important element for mobility understanding is to understand the context in which the movement takes place. In this direction, we propose a method for identifying significant locations and time periods along a bus route. The significance is based on special characteristics that locations have during specific time periods as determined from their effect of these locations on the movement of the bus. The method extracts discriminative features from the space, time and other selected attributes and then classifies locations and time periods into 5 significance classes. The classes are then rendered in different views for discovering and understanding patterns. The novelty of the method is an explicit consideration of the time dimension at different granularity levels and a visualization that facilitates comparison across the space and time dimensions while avoiding a visual clutter. We demonstrate the applicability of our approach by applying it on a large set of bus trajectories.
Starting Page	1
Ending Page	4
Page Count	4
File Format	PDF
ISBN	9781450345897
DOI	10.1145/2996913.2996936
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-10-31
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Visualization Spatiotemporal context Classification Visual analysis Trajectory Data mining Bus stop Spatiotemporal analysis
Content Type	Text
Resource Type	Article

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