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ISPRS Int. J. Geo-Inf. 2016, 5(6), 85; doi:10.3390/ijgi5060085

Comparative Perspective of Human Behavior Patterns to Uncover Ownership Bias among Mobile Phone Users

1
Earth Observation Data Integration and Fusion Research Initiative, University of Tokyo, 7-3-1, Hongo, Bunkyo, Tokyo 113-8656, Japan
2
Graduate School of Engineering, University of Tokyo, 7-3-1, Hongo, Bunkyo, Tokyo 113-8656, Japan
3
Graduate School of Frontier Sciences, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8568, Japan
4
Center for Spatial Information Science, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8568, Japan
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Jamal Jokar Arsanjani, Ming-Hsiang (Ming) Tsou and Wolfgang Kainz
Received: 12 January 2016 / Revised: 4 May 2016 / Accepted: 30 May 2016 / Published: 6 June 2016
(This article belongs to the Special Issue Big Data for Urban Informatics and Earth Observation)
View Full-Text   |   Download PDF [1740 KB, uploaded 6 June 2016]   |  

Abstract

With the rapid spread of mobile devices, call detail records (CDRs) from mobile phones provide more opportunities to incorporate dynamic aspects of human mobility in addressing societal issues. However, it has been increasingly observed that CDR data are not always representative of the population under study because it only includes device users alone. To understand the discrepancy between the population captured by CDRs and the general population, we profile principal populations of CDRs by analyzing routines based on time spent at key locations and compare these data with those of the general population. We employ a topic model to estimate typical routines of mobile phone users using CDRs as topics. The routines are extracted from field survey data and compared between those of the general population and mobile phone users. We found that there are two main population groups of mobile phone users in Dhaka: males engaged in an income-generating activity at a specific location other than home and females performing household tasks and spending most of their time at home. We determine that CDRs tend to omit students, who form a significant component of the Dhaka population. View Full-Text
Keywords: big data; mobile phone; call detail records (CDRs); demographic structure big data; mobile phone; call detail records (CDRs); demographic structure
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Arai, A.; Fan, Z.; Matekenya, D.; Shibasaki, R. Comparative Perspective of Human Behavior Patterns to Uncover Ownership Bias among Mobile Phone Users. ISPRS Int. J. Geo-Inf. 2016, 5, 85.

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