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

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.

Authors:
ORCiD logo [1]; ORCiD logo [1]
  1. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1761617
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: ACM SigSpatial Local Rec - Seattle, Washington, United States of America - 11/3/2020 5:00:00 AM-11/6/2020 5:00:00 AM
Country of Publication:
United States
Language:
English

Citation Formats

Thakur, Gautam, and Kotevska, Olivera. Activity Characterization for Modeling Behavioral-driven Human Mobility in Platial Networks. United States: N. p., 2020. Web. doi:10.1145/3423334.3431449.
Thakur, Gautam, & Kotevska, Olivera. Activity Characterization for Modeling Behavioral-driven Human Mobility in Platial Networks. United States. https://doi.org/10.1145/3423334.3431449
Thakur, Gautam, and Kotevska, Olivera. Sun . "Activity Characterization for Modeling Behavioral-driven Human Mobility in Platial Networks". United States. https://doi.org/10.1145/3423334.3431449. https://www.osti.gov/servlets/purl/1761617.
@article{osti_1761617,
title = {Activity Characterization for Modeling Behavioral-driven Human Mobility in Platial Networks},
author = {Thakur, Gautam and Kotevska, Olivera},
abstractNote = {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.},
doi = {10.1145/3423334.3431449},
url = {https://www.osti.gov/biblio/1761617}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {11}
}

Conference:
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