On the Use of Mobile Subscribers Data in Digital Urban Planning

According to the research of the international agency "We are social" in 2018 there are 5.135 billion mobile users in the world, which is 68% of the total population. Each mobile device generates data that can be used for application purposes. The article consists of two parts. The first p...

Full description

Bibliographic Details
Main Authors: Mark Bulygin, Dmitry Namiot
Format: Article
Language:Russian
Published: The Fund for Promotion of Internet media, IT education, human development «League Internet Media» 2019-09-01
Series:Современные информационные технологии и IT-образование
Subjects:
Online Access:http://sitito.cs.msu.ru/index.php/SITITO/article/view/556
id doaj-4f5a0b58ccda40b39328e926fcca1bbb
record_format Article
spelling doaj-4f5a0b58ccda40b39328e926fcca1bbb2020-12-02T18:41:54ZrusThe Fund for Promotion of Internet media, IT education, human development «League Internet Media»Современные информационные технологии и IT-образование2411-14732019-09-0115375576610.25559/SITITO.15.201903.755-766On the Use of Mobile Subscribers Data in Digital Urban PlanningMark Bulygin0https://orcid.org/0000-0001-5846-4367Dmitry Namiot1https://orcid.org/0000-0002-4463-1678Lomonosov Moscow State University (Moscow, Russia)Lomonosov Moscow State University (Moscow, Russia)According to the research of the international agency "We are social" in 2018 there are 5.135 billion mobile users in the world, which is 68% of the total population. Each mobile device generates data that can be used for application purposes. The article consists of two parts. The first part provides a brief overview of how to process four types of data from smartphones: cellular operator data, accelerometer data, GPS and Wi-Fi sensors. The overview of each group of methods is systematized in the form of tables, which will help to quickly find a method to solve the desired task or to process the available data. The second part is devoted to identifying the main advantages and disadvantages of using each type of data. This information is also presented in the form of a table, which allows you to choose the right type of data for the task. This paper provides an overview of the articles on the analysis of the main shortcomings and ways to overcome them, in particular, crowdsourcing. The conclusion is that further development in the analysis of data obtained from smartphones may consist in solving existing problems, finding new applications and sharing different types of data.http://sitito.cs.msu.ru/index.php/SITITO/article/view/556mobile subscribers datadigital urbanismdata science
collection DOAJ
language Russian
format Article
sources DOAJ
author Mark Bulygin
Dmitry Namiot
spellingShingle Mark Bulygin
Dmitry Namiot
On the Use of Mobile Subscribers Data in Digital Urban Planning
Современные информационные технологии и IT-образование
mobile subscribers data
digital urbanism
data science
author_facet Mark Bulygin
Dmitry Namiot
author_sort Mark Bulygin
title On the Use of Mobile Subscribers Data in Digital Urban Planning
title_short On the Use of Mobile Subscribers Data in Digital Urban Planning
title_full On the Use of Mobile Subscribers Data in Digital Urban Planning
title_fullStr On the Use of Mobile Subscribers Data in Digital Urban Planning
title_full_unstemmed On the Use of Mobile Subscribers Data in Digital Urban Planning
title_sort on the use of mobile subscribers data in digital urban planning
publisher The Fund for Promotion of Internet media, IT education, human development «League Internet Media»
series Современные информационные технологии и IT-образование
issn 2411-1473
publishDate 2019-09-01
description According to the research of the international agency "We are social" in 2018 there are 5.135 billion mobile users in the world, which is 68% of the total population. Each mobile device generates data that can be used for application purposes. The article consists of two parts. The first part provides a brief overview of how to process four types of data from smartphones: cellular operator data, accelerometer data, GPS and Wi-Fi sensors. The overview of each group of methods is systematized in the form of tables, which will help to quickly find a method to solve the desired task or to process the available data. The second part is devoted to identifying the main advantages and disadvantages of using each type of data. This information is also presented in the form of a table, which allows you to choose the right type of data for the task. This paper provides an overview of the articles on the analysis of the main shortcomings and ways to overcome them, in particular, crowdsourcing. The conclusion is that further development in the analysis of data obtained from smartphones may consist in solving existing problems, finding new applications and sharing different types of data.
topic mobile subscribers data
digital urbanism
data science
url http://sitito.cs.msu.ru/index.php/SITITO/article/view/556
work_keys_str_mv AT markbulygin ontheuseofmobilesubscribersdataindigitalurbanplanning
AT dmitrynamiot ontheuseofmobilesubscribersdataindigitalurbanplanning
_version_ 1724403298719498240