Activity Characterization for Modeling Behavioral-driven Human Mobility in Platial Networks

Gautam Thakur; Olivera Kotevska

doi:10.1145/3423334.3431449

Activity Characterization for Modeling Behavioral-driven Human Mobility in Platial Networks

Gautam Thakur, Olivera Kotevska

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

1 Scopus citations

Abstract

The population is increasingly becoming tractable as more and more people carry handheld devices as part of their everyday activities. Recent studies have shown that handheld devices' generated traffic share is now more than 50% of total global online traffic. This has created an unprecedented opportunity for modeling human mobility behavior. For example, aggregate check-ins and dwell time can reveal building level occupancies. However, there are clear limits to accurate modeling (e.g. reproducible, repeatable, and realistic), unless we decipher the underlying reason causing typical mobility patterns. We know that human behavior is a reflection of a set of activities, such as going to the gym or work, and which can be seen as a catalyst for humans to move from one location to another. This work envisions the use of activity characterization for modeling human mobility by introducing a context that maps activities to certain mobility patterns. In the end, we highlight the efficacy of the proposed approach by analyzing the impact of public policies surrounding stay at home order on human mobility.

Original language	English
Title of host publication	LocalRec 2020 - Proceedings of the 4th ACM SIGSPATIAL International Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising
Editors	Panagiotis Bouros, Tamraparni Dasu, Yaron Kanza, Matthias Renz, Dimitris Sacharidis
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450381604
DOIs	https://doi.org/10.1145/3423334.3431449
State	Published - Nov 3 2020
Event	4th ACM SIGSPATIAL International Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising, LocalRec 2020, 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2020 - Seattle, Virtual, United States Duration: Nov 3 2020 → …

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	4th ACM SIGSPATIAL International Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising, LocalRec 2020, 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2020
Country/Territory	United States
City	Seattle, Virtual
Period	11/3/20 → …

Bibliographical note

Publisher Copyright:
© 2020 ACM.

Funding

This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

Funders	Funder number
US Department of Energy
U.S. Department of Energy

Keywords

mobility
modeling
pattern recognition
probability and statistics

Access to Document

10.1145/3423334.3431449

Cite this

Thakur, G., & Kotevska, O. (2020). Activity Characterization for Modeling Behavioral-driven Human Mobility in Platial Networks. In P. Bouros, T. Dasu, Y. Kanza, M. Renz, & D. Sacharidis (Eds.), LocalRec 2020 - Proceedings of the 4th ACM SIGSPATIAL International Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising Article 3431449 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3423334.3431449

Thakur, Gautam ; Kotevska, Olivera. / Activity Characterization for Modeling Behavioral-driven Human Mobility in Platial Networks. LocalRec 2020 - Proceedings of the 4th ACM SIGSPATIAL International Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising. editor / Panagiotis Bouros ; Tamraparni Dasu ; Yaron Kanza ; Matthias Renz ; Dimitris Sacharidis. Association for Computing Machinery, 2020. (ACM International Conference Proceeding Series).

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abstract = "The population is increasingly becoming tractable as more and more people carry handheld devices as part of their everyday activities. Recent studies have shown that handheld devices' generated traffic share is now more than 50% of total global online traffic. This has created an unprecedented opportunity for modeling human mobility behavior. For example, aggregate check-ins and dwell time can reveal building level occupancies. However, there are clear limits to accurate modeling (e.g. reproducible, repeatable, and realistic), unless we decipher the underlying reason causing typical mobility patterns. We know that human behavior is a reflection of a set of activities, such as going to the gym or work, and which can be seen as a catalyst for humans to move from one location to another. This work envisions the use of activity characterization for modeling human mobility by introducing a context that maps activities to certain mobility patterns. In the end, we highlight the efficacy of the proposed approach by analyzing the impact of public policies surrounding stay at home order on human mobility.",

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Thakur, G & Kotevska, O 2020, Activity Characterization for Modeling Behavioral-driven Human Mobility in Platial Networks. in P Bouros, T Dasu, Y Kanza, M Renz & D Sacharidis (eds), LocalRec 2020 - Proceedings of the 4th ACM SIGSPATIAL International Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising., 3431449, ACM International Conference Proceeding Series, Association for Computing Machinery, 4th ACM SIGSPATIAL International Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising, LocalRec 2020, 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2020, Seattle, Virtual, United States, 11/3/20. https://doi.org/10.1145/3423334.3431449

Activity Characterization for Modeling Behavioral-driven Human Mobility in Platial Networks. / Thakur, Gautam ; Kotevska, Olivera.
LocalRec 2020 - Proceedings of the 4th ACM SIGSPATIAL International Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising. ed. / Panagiotis Bouros; Tamraparni Dasu; Yaron Kanza; Matthias Renz; Dimitris Sacharidis. Association for Computing Machinery, 2020. 3431449 (ACM International Conference Proceeding Series).

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

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Thakur G , Kotevska O. Activity Characterization for Modeling Behavioral-driven Human Mobility in Platial Networks. In Bouros P, Dasu T, Kanza Y, Renz M, Sacharidis D, editors, LocalRec 2020 - Proceedings of the 4th ACM SIGSPATIAL International Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising. Association for Computing Machinery. 2020. 3431449. (ACM International Conference Proceeding Series). doi: 10.1145/3423334.3431449

Activity Characterization for Modeling Behavioral-driven Human Mobility in Platial Networks

Abstract

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Keywords

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