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Defining measures for location visiting preference

Authors
Song, HayoonH.Y.Choi, Dong-yunD.Y.
Issue Date
2015
Publisher
ELSEVIER SCIENCE BV
Keywords
Human Location Preference; Measures of Location Visit; Position Frequency; Inverse Location Frequency; Inverse Cluster Frequency; Position Duration; Inverse Location Duration; Inverse Cluster Duration; Positioning Data Analytics; Location Base Service
Citation
Procedia Computer Science, v.63, pp.142 - 147
Journal Title
Procedia Computer Science
Volume
63
Start Page
142
End Page
147
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/13801
DOI
10.1016/j.procs.2015.08.324
ISSN
1877-0509
Abstract
For better location based service or better analysis of human mobility pattern, measures for presenting frequently visiting locations are usually required. In this paper, we will establish related measures for specific meaningful locations. Location points as well as Location clusters are objects of the measurements. In order to represent the degree of a specific location visit, the degree of location visit called Position Frequency (PF), and Inverse Location Frequency (ILF) are defined. In order to represent the degree of location area (cluster) visit, Inverse Cluster Frequency (ICF) is established. Moreover, along with the frequency of location visit, the duration of location visit is also considered. Therefore Position Duration (PD), Inverse Location Duration (ILD), and Inverse Cluster Duration (ICD) are defined. Using R language, real positioning data set collected by volunteers are analyzed in order to demonstrate the usefulness of these measures. The definitions of measures and the application of measures will be presented. (C) 2015 The Authors. Published by Elsevier B.V.
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