Using mobile phone data to determine human mobility patterns in Paris

Eric Valega Prawirodidjojo; Rui Jie Quek; Bu Sung Lee; Vincent Gauthier; Markus Schlapfer

doi:10.1109/CW.2018.00077

Using mobile phone data to determine human mobility patterns in Paris

Eric Valega Prawirodidjojo
, Rui Jie Quek
, Bu Sung Lee
, Vincent Gauthier
, Markus Schlapfer

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

With the rapid expansion of cities around the world, large number of movements are made daily as people commute from their homes to their destinations, including workplaces. From these movements, trends and patterns can be derived which in turn, can provide valuable insights for urban planning. This is particularly relevant in the smart cities' context. However, such movement data are often difficult to gather and analyse without infringing on privacy rights, especially with the increasing concerns on privacy issues. This paper reports on the use of aggregated mobile phone tracking data together with train network data to analyse movement patterns in, out, and within La Defense (Paris' business district). The findings can assist city planners by providing a better understanding of people's travel patterns.

Original language	English
Title of host publication	Proceedings - 2018 International Conference on Cyberworlds, CW 2018
Editors	Alexei Sourin, Olga Sourina, Marius Erdt, Christophe Rosenberger
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	399-402
Number of pages	4
ISBN (Electronic)	9781538673157
DOIs	https://doi.org/10.1109/CW.2018.00077
Publication status	Published - 26 Dec 2018
Externally published	Yes
Event	17th International Conference on Cyberworlds, CW 2018 - Singapore, Singapore Duration: 3 Oct 2018 → 5 Oct 2018

Publication series

Name	Proceedings - 2018 International Conference on Cyberworlds, CW 2018

Conference

Conference	17th International Conference on Cyberworlds, CW 2018
Country/Territory	Singapore
City	Singapore
Period	3/10/18 → 5/10/18

Keywords

Data analytics.
Human mobility
Human movement
Travel pattern

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/CW.2018.00077

Cite this

Prawirodidjojo, E. V., Quek, R. J., Lee, B. S., Gauthier, V., & Schlapfer, M. (2018). Using mobile phone data to determine human mobility patterns in Paris. In A. Sourin, O. Sourina, M. Erdt, & C. Rosenberger (Eds.), Proceedings - 2018 International Conference on Cyberworlds, CW 2018 (pp. 399-402). Article 8590072 (Proceedings - 2018 International Conference on Cyberworlds, CW 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CW.2018.00077

Prawirodidjojo, Eric Valega ; Quek, Rui Jie ; Lee, Bu Sung et al. / Using mobile phone data to determine human mobility patterns in Paris. Proceedings - 2018 International Conference on Cyberworlds, CW 2018. editor / Alexei Sourin ; Olga Sourina ; Marius Erdt ; Christophe Rosenberger. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 399-402 (Proceedings - 2018 International Conference on Cyberworlds, CW 2018).

@inproceedings{5f5e3a85a33845a2977e4339c116542c,

title = "Using mobile phone data to determine human mobility patterns in Paris",

abstract = "With the rapid expansion of cities around the world, large number of movements are made daily as people commute from their homes to their destinations, including workplaces. From these movements, trends and patterns can be derived which in turn, can provide valuable insights for urban planning. This is particularly relevant in the smart cities' context. However, such movement data are often difficult to gather and analyse without infringing on privacy rights, especially with the increasing concerns on privacy issues. This paper reports on the use of aggregated mobile phone tracking data together with train network data to analyse movement patterns in, out, and within La Defense (Paris' business district). The findings can assist city planners by providing a better understanding of people's travel patterns.",

keywords = "Data analytics., Human mobility, Human movement, Travel pattern",

author = "Prawirodidjojo, \{Eric Valega\} and Quek, \{Rui Jie\} and Lee, \{Bu Sung\} and Vincent Gauthier and Markus Schlapfer",

note = "Publisher Copyright: {\textcopyright}2018 IEEE.; 17th International Conference on Cyberworlds, CW 2018 ; Conference date: 03-10-2018 Through 05-10-2018",

year = "2018",

month = dec,

day = "26",

doi = "10.1109/CW.2018.00077",

language = "English",

series = "Proceedings - 2018 International Conference on Cyberworlds, CW 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "399--402",

editor = "Alexei Sourin and Olga Sourina and Marius Erdt and Christophe Rosenberger",

booktitle = "Proceedings - 2018 International Conference on Cyberworlds, CW 2018",

}

Prawirodidjojo, EV, Quek, RJ, Lee, BS, Gauthier, V & Schlapfer, M 2018, Using mobile phone data to determine human mobility patterns in Paris. in A Sourin, O Sourina, M Erdt & C Rosenberger (eds), Proceedings - 2018 International Conference on Cyberworlds, CW 2018., 8590072, Proceedings - 2018 International Conference on Cyberworlds, CW 2018, Institute of Electrical and Electronics Engineers Inc., pp. 399-402, 17th International Conference on Cyberworlds, CW 2018, Singapore, Singapore, 3/10/18. https://doi.org/10.1109/CW.2018.00077

Using mobile phone data to determine human mobility patterns in Paris. / Prawirodidjojo, Eric Valega; Quek, Rui Jie; Lee, Bu Sung et al.
Proceedings - 2018 International Conference on Cyberworlds, CW 2018. ed. / Alexei Sourin; Olga Sourina; Marius Erdt; Christophe Rosenberger. Institute of Electrical and Electronics Engineers Inc., 2018. p. 399-402 8590072 (Proceedings - 2018 International Conference on Cyberworlds, CW 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Using mobile phone data to determine human mobility patterns in Paris

AU - Prawirodidjojo, Eric Valega

AU - Quek, Rui Jie

AU - Lee, Bu Sung

AU - Gauthier, Vincent

AU - Schlapfer, Markus

PY - 2018/12/26

Y1 - 2018/12/26

N2 - With the rapid expansion of cities around the world, large number of movements are made daily as people commute from their homes to their destinations, including workplaces. From these movements, trends and patterns can be derived which in turn, can provide valuable insights for urban planning. This is particularly relevant in the smart cities' context. However, such movement data are often difficult to gather and analyse without infringing on privacy rights, especially with the increasing concerns on privacy issues. This paper reports on the use of aggregated mobile phone tracking data together with train network data to analyse movement patterns in, out, and within La Defense (Paris' business district). The findings can assist city planners by providing a better understanding of people's travel patterns.

AB - With the rapid expansion of cities around the world, large number of movements are made daily as people commute from their homes to their destinations, including workplaces. From these movements, trends and patterns can be derived which in turn, can provide valuable insights for urban planning. This is particularly relevant in the smart cities' context. However, such movement data are often difficult to gather and analyse without infringing on privacy rights, especially with the increasing concerns on privacy issues. This paper reports on the use of aggregated mobile phone tracking data together with train network data to analyse movement patterns in, out, and within La Defense (Paris' business district). The findings can assist city planners by providing a better understanding of people's travel patterns.

KW - Data analytics.

KW - Human mobility

KW - Human movement

KW - Travel pattern

U2 - 10.1109/CW.2018.00077

DO - 10.1109/CW.2018.00077

M3 - Conference contribution

AN - SCOPUS:85061450559

T3 - Proceedings - 2018 International Conference on Cyberworlds, CW 2018

SP - 399

EP - 402

BT - Proceedings - 2018 International Conference on Cyberworlds, CW 2018

A2 - Sourin, Alexei

A2 - Sourina, Olga

A2 - Erdt, Marius

A2 - Rosenberger, Christophe

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th International Conference on Cyberworlds, CW 2018

Y2 - 3 October 2018 through 5 October 2018

ER -

Prawirodidjojo EV, Quek RJ, Lee BS, Gauthier V, Schlapfer M. Using mobile phone data to determine human mobility patterns in Paris. In Sourin A, Sourina O, Erdt M, Rosenberger C, editors, Proceedings - 2018 International Conference on Cyberworlds, CW 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 399-402. 8590072. (Proceedings - 2018 International Conference on Cyberworlds, CW 2018). doi: 10.1109/CW.2018.00077

Using mobile phone data to determine human mobility patterns in Paris

Abstract

Publication series

Conference

Keywords

UN SDGs

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Cite this