Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

6-2024

Abstract

In this paper, we analyze the results of a large study involving 934 older adults living in an urban Asian city that collected their mobility patterns, in the form of logged GPS data, along with a multitude of demographic and health data. We show that mobility, in terms of average distance travelled per day, is greatly affected by age and by employment status. In addition, other factors such as type of day, household size, physical and financial conditions and the onset of retirement also play a significant role in determining the mobility of an individual. These results will have high value to any researcher understanding and attempting to transform the lifestyle of older adults.

Keywords

Human-centered computing, Empirical studies in collaborative and social computing, Applied computing, Law, social and behavioral sciences

Discipline

Asian Studies | Databases and Information Systems | Gerontology

Research Areas

Information Systems and Management

Areas of Excellence

Digital transformation

Publication

BTIW '24: Proceedings of the Behavior Transformation by IoT International Workshop, Minato-ku, Tokyo, June 3-7

First Page

27

Last Page

32

ISBN

9798400706653

Identifier

10.1145/3662008.3662016

Publisher

ACM

City or Country

New York

Copyright Owner and License

Authors

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Additional URL

https://doi.org/10.1145/3662008.3662016

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