Please use this identifier to cite or link to this item:
http://cmuir.cmu.ac.th/jspui/handle/6653943832/62644
Title: | Resembling population density distribution with massive mobile phone data |
Authors: | Teerayut Horanont Thananut Phiboonbanakit Santi Phithakkitnukoon |
Authors: | Teerayut Horanont Thananut Phiboonbanakit Santi Phithakkitnukoon |
Keywords: | Computer Science |
Issue Date: | 3-Oct-2018 |
Abstract: | © 2018 The Author(s). As the mobile phone data (CDR data) has gained an increasing interest in research, such as social science, transportation, urban informatics, and big data, this study aims at examining the representativeness of the CDR data in terms of resemblance of the actual population density distribution from three perspectives; operator’s market share, urban-rural user population ratio, and user gender ratio. The results reveal that the representativeness of the data does not scale at the same rate with the operator’s market share, the urban-rural user population ratio of 80:20 can best represent the population density distribution, and an equal mixture of male and female user population can best resemble the population density distribution. This study is the first investigation into the representativeness of the CDR data. The findings provide useful information, which can serve an insightful guideline when dealing with the CDR data. |
URI: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85055752940&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62644 |
ISSN: | 16831470 |
Appears in Collections: | CMUL: Journal Articles |
Files in This Item:
There are no files associated with this item.
Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.