Urban Zoning Using Intraday Mobile Phone-Based Commuter
Patterns in the City of Brno

D 2023

Urban Zoning Using Intraday Mobile Phone-Based Commuter Patterns in the City of Brno

BOGOMOLOV, Jura, Aliaksandr BELY, Ondřej MIKEŠ and Stanislav SOBOLEVSKY

Basic information

Original name

Urban Zoning Using Intraday Mobile Phone-Based Commuter Patterns in the City of Brno

Authors

BOGOMOLOV, Jura (840 United States of America, guarantor, belonging to the institution), Aliaksandr BELY (112 Belarus, belonging to the institution), Ondřej MIKEŠ (203 Czech Republic, belonging to the institution) and Stanislav SOBOLEVSKY (112 Belarus, belonging to the institution)

Edition

Cham, Computational Science and Its Applications – ICCSA 2023, p. 482-490, 9 pp. 2023

Publisher

Springer, Cham

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

URL

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14310/23:00133442

Organization unit

Faculty of Science

ISBN

978-3-031-36807-3

ISSN

DOI

http://dx.doi.org/10.1007/978-3-031-36808-0_35

Keywords in English

Intraday commute patterns; Urban commute; City delineation; Urban zoning; Mobile phone mobility data

Abstract

V originále

The emergence of information and mobile technology has had a profound impact on modern life, altering the manner in which individuals communicate, access information, entertain themselves, and conduct business. This development has created new opportunities for researchers to access datasets that were not accessible to prior generations of scholars. Historically, studies of urban commuting have relied on census data, which portrays commute patterns as a static number that are updated every few years. However, over the last two decades, the advent of mobile phone datasets has facilitated new research avenues. This study employs mobile phone mobility data to define a signature of urban districts within the Czech city of Brno, utilizing it for the purpose of urban zoning. The proposed signatures provide a tangible classification of neighborhoods with potential applications in urban and transportation planning. This approach is demonstrated using mobile data of 13 thousand inhabitants of Brno and can be applied to other cities wherever similar data is available.

Links

EF16_019/0000822, research and development project

Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur

MUNI/J/0008/2021, interní kód MU

Name: Digital City

Investor: Masaryk University, MASH JUNIOR - MUNI Award In Science and Humanities JUNIOR

Citovat

BOGOMOLOV, Jura, Aliaksandr BELY, Ondřej MIKEŠ and Stanislav SOBOLEVSKY. Urban Zoning Using Intraday Mobile Phone-Based Commuter Patterns in the City of Brno. In Osvaldo Gervasi, Beniamino Murgante, David Taniar, Bernady O. Apduhan, Ana Cristina Braga, Chiara Garau, Anastasia Stratigea. Computational Science and Its Applications – ICCSA 2023. Cham: Springer, Cham, 2023, p. 482-490. ISBN 978-3-031-36807-3. Available from: https://dx.doi.org/10.1007/978-3-031-36808-0_35.

@inproceedings{2369577,
   author = {Bogomolov, Jura and Bely, Aliaksandr and Mikeš, Ondřej and Sobolevsky, Stanislav},
   address = {Cham},
   booktitle = {Computational Science and Its Applications – ICCSA 2023},
   doi = {http://dx.doi.org/10.1007/978-3-031-36808-0_35},
   editor = {Osvaldo Gervasi, Beniamino Murgante, David Taniar, Bernady O. Apduhan, Ana Cristina Braga, Chiara Garau, Anastasia Stratigea},
   keywords = {Intraday commute patterns; Urban commute; City delineation; Urban zoning; Mobile phone mobility data},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Cham},
   isbn = {978-3-031-36807-3},
   pages = {482-490},
   publisher = {Springer, Cham},
   title = {Urban Zoning Using Intraday Mobile Phone-Based Commuter Patterns in the City of Brno},
   url = {https://doi.org/10.1007/978-3-031-36808-0_35},
   year = {2023}
}

TY  - JOUR
ID  - 2369577
AU  - Bogomolov, Jura - Bely, Aliaksandr - Mikeš, Ondřej - Sobolevsky, Stanislav
PY  - 2023
TI  - Urban Zoning Using Intraday Mobile Phone-Based Commuter Patterns in the City of Brno
PB  - Springer, Cham
CY  - Cham
SN  - 9783031368073
KW  - Intraday commute patterns
KW  - Urban commute
KW  - City delineation
KW  - Urban zoning
KW  - Mobile phone mobility data
UR  - https://doi.org/10.1007/978-3-031-36808-0_35
N2  - The emergence of information and mobile technology has had a profound impact on modern life, altering the manner in which individuals communicate, access information, entertain themselves, and conduct business. This development has created new opportunities for researchers to access datasets that were not accessible to prior generations of scholars. Historically, studies of urban commuting have relied on census data, which portrays commute patterns as a static number that are updated every few years. However, over the last two decades, the advent of mobile phone datasets has facilitated new research avenues. This study employs mobile phone mobility data to define a signature of urban districts within the Czech city of Brno, utilizing it for the purpose of urban zoning. The proposed signatures provide a tangible classification of neighborhoods with potential applications in urban and transportation planning. This approach is demonstrated using mobile data of 13 thousand inhabitants of Brno and can be applied to other cities wherever similar data is available.
ER  -

BOGOMOLOV, Jura, Aliaksandr BELY, Ondřej MIKEŠ and Stanislav SOBOLEVSKY. Urban Zoning Using Intraday Mobile Phone-Based Commuter Patterns in the City of Brno. In Osvaldo Gervasi, Beniamino Murgante, David Taniar, Bernady O. Apduhan, Ana Cristina Braga, Chiara Garau, Anastasia Stratigea. \textit{Computational Science and Its Applications – ICCSA 2023}. Cham: Springer, Cham, 2023, p.~482-490. ISBN~978-3-031-36807-3. Available from: https://dx.doi.org/10.1007/978-3-031-36808-0\_{}35.

Detailed Information on Publication Record