Towards a methodological framework for estimating present population density from mobile network operator data-Reference-Cited by-同舟云学术

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Towards a methodological framework for estimating present population density from mobile network operator data

Published:2020-10 Issue: Volume:68 Page:101263
ISSN:1574-1192
Container-title:Pervasive and Mobile Computing
language:en
Short-container-title:Pervasive and Mobile Computing

Author:

Ricciato Fabio^ORCID,Lanzieri Giampaolo^ORCID,Wirthmann Albrecht^ORCID,Seynaeve Gerdy

Funder

European Commission

Eurostat

Publisher

Elsevier BV

Subject

Software,Computer Science Applications,Hardware and Architecture,Computer Networks and Communications,Information Systems

Reference38 articles.

1. Population definitions at the 2010 censuses round in the countries of the UNECE region;Lanzieri,2013

2. On a new population definition for statistical purposes;Lanzieri,2013

3. Alternative definitions of population for future demographic and migration statistics;Lanzieri,2018

4. Towards a single population concept for international purposes: definitions and statistical architecture;Lanzieri,2019

5. Big data and human development: Towards a new conceptual and operational approach;Letouzé,2015

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1. From cell tower location to user location: Understanding the spatial uncertainty of mobile phone network data in human mobility research;Computers, Environment and Urban Systems;2024-07

2. When spatial interpolation matters: Seeking an appropriate data transformation from the mobile network for population estimates;Computers, Environment and Urban Systems;2024-06

3. Assessing veracity of big data: An in-depth evaluation process from the comparison of Mobile phone traces and groundtruth data in traffic monitoring;Journal of Transport Geography;2024-06

4. In-stream mobility and speed estimation of mobile devices from mobile network data;Transportation;2024-05-29

5. Actionable descriptors of spatiotemporal urban dynamics from large-scale mobile data: A case study in Lisbon city;Environment and Planning B: Urban Analytics and City Science;2023-12-05

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