Understanding Human Mobility for Data-Driven Policy Making

Jesper Slik; Sandjai Bhulai

doi:10.1007/978-3-031-06668-9_12

Understanding Human Mobility for Data-Driven Policy Making

Jesper Slik^*, Sandjai Bhulai

^*Corresponding author for this work

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

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Abstract

This study aims to identify the patterns of behavior which underlie human mobility. More specifically, we compare commuters who drive in a car with those who use the train in the same geographic region of the Netherlands. We try to understand the mode choices of the commuters based on three factors: the cost of the transport mode, the CO₂ emissions, and the travel time. The analysis has been based on data consisting of travel transactions in the Netherlands during 2018 containing over half a million records. We show how this raw data can be transformed into relevant insights on the three factors. A large difference is observed in terms of CO₂ emissions and cost, a minor difference in speed. Besides, the computation of congestion shows intuitive results. These results can be used to stimulate behavioral change proactively and to improve trip planners.

Original language	English
Title of host publication	Innovations for Community Services
Subtitle of host publication	22nd International Conference, I4CS 2022, Delft, The Netherlands, June 13–15, 2022, Proceedings
Editors	Frank Phillipson, Gerald Eichler, Christian Erfurth, Günter Fahrnberger
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	155-167
Number of pages	13
ISBN (Electronic)	9783031066689
ISBN (Print)	9783031066672
DOIs	https://doi.org/10.1007/978-3-031-06668-9_12
Publication status	Published - 2022
Event	22nd International Conference on Innovations for Community Services, I4CS 2022 - Delft, Netherlands Duration: 13 Jun 2022 → 15 Jun 2022

Publication series

Name	Communications in Computer and Information Science
Volume	1585 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	22nd International Conference on Innovations for Community Services, I4CS 2022
Country/Territory	Netherlands
City	Delft
Period	13/06/22 → 15/06/22

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Carbon emissions
Data analysis
Highway sensors
Mobility transactions
Travel behavior
Travel times

UN SDGs

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

Access to Document

10.1007/978-3-031-06668-9_12

Understanding Human Mobility for Data-Driven Policy MakingFinal published version, 2.01 MBLicence: Article 25fa Dutch Copyright Act

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Cite this

Slik, J., & Bhulai, S. (2022). Understanding Human Mobility for Data-Driven Policy Making. In F. Phillipson, G. Eichler, C. Erfurth, & G. Fahrnberger (Eds.), Innovations for Community Services : 22nd International Conference, I4CS 2022, Delft, The Netherlands, June 13–15, 2022, Proceedings (pp. 155-167). (Communications in Computer and Information Science; Vol. 1585 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-06668-9_12

Slik, Jesper ; Bhulai, Sandjai. / Understanding Human Mobility for Data-Driven Policy Making. Innovations for Community Services : 22nd International Conference, I4CS 2022, Delft, The Netherlands, June 13–15, 2022, Proceedings. editor / Frank Phillipson ; Gerald Eichler ; Christian Erfurth ; Günter Fahrnberger. Springer Science and Business Media Deutschland GmbH, 2022. pp. 155-167 (Communications in Computer and Information Science).

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abstract = "This study aims to identify the patterns of behavior which underlie human mobility. More specifically, we compare commuters who drive in a car with those who use the train in the same geographic region of the Netherlands. We try to understand the mode choices of the commuters based on three factors: the cost of the transport mode, the CO2 emissions, and the travel time. The analysis has been based on data consisting of travel transactions in the Netherlands during 2018 containing over half a million records. We show how this raw data can be transformed into relevant insights on the three factors. A large difference is observed in terms of CO2 emissions and cost, a minor difference in speed. Besides, the computation of congestion shows intuitive results. These results can be used to stimulate behavioral change proactively and to improve trip planners.",

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Slik, J & Bhulai, S 2022, Understanding Human Mobility for Data-Driven Policy Making. in F Phillipson, G Eichler, C Erfurth & G Fahrnberger (eds), Innovations for Community Services : 22nd International Conference, I4CS 2022, Delft, The Netherlands, June 13–15, 2022, Proceedings. Communications in Computer and Information Science, vol. 1585 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 155-167, 22nd International Conference on Innovations for Community Services, I4CS 2022, Delft, Netherlands, 13/06/22. https://doi.org/10.1007/978-3-031-06668-9_12

Understanding Human Mobility for Data-Driven Policy Making. / Slik, Jesper; Bhulai, Sandjai.
Innovations for Community Services : 22nd International Conference, I4CS 2022, Delft, The Netherlands, June 13–15, 2022, Proceedings. ed. / Frank Phillipson; Gerald Eichler; Christian Erfurth; Günter Fahrnberger. Springer Science and Business Media Deutschland GmbH, 2022. p. 155-167 (Communications in Computer and Information Science; Vol. 1585 CCIS).

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

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Slik J, Bhulai S. Understanding Human Mobility for Data-Driven Policy Making. In Phillipson F, Eichler G, Erfurth C, Fahrnberger G, editors, Innovations for Community Services : 22nd International Conference, I4CS 2022, Delft, The Netherlands, June 13–15, 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 155-167. (Communications in Computer and Information Science). Epub 2022 Jun 6. doi: 10.1007/978-3-031-06668-9_12