A Multi-Center Method for Estimating Individual Activity Spaces with Visit Probability
Pages 19 - 24
Abstract
In recent years, human mobility research has attracted much attention in various research fields. The individual activity space is an important indicator for quantifying human mobility and has been widely used in numerous studies of human geography, e.g., accessibility and segregation. In the literature, various methods have been proposed to estimate individual activity spaces. However, most existing methods build on a single-center structure. Further, most existing methods generally lack of capabilities to capture heterogeneous visit probability within the activity space. In this paper, we propose a new method for estimating individual activity spaces with visit probability. The individual activity space is explicitly formulated as a multiple-center structure with multiple separated parts. Then, several performance metrics are developed to quantify the estimation accuracy of activity spaces. To demonstrate the effectiveness of the proposed method, a case study using longitude GPS trajectories was carried out. The result of case study shows that the proposed method had a higher estimation accuracy of individual activity spaces than the state-of-the-art methods particularly for individuals with large radius of gyration.
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Published In
December 2020
266 pages
ISBN:9781450388559
DOI:10.1145/3446999
Copyright © 2020 ACM.
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Published: 09 April 2021
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