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
Databases and Information Systems
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
Last Page
27
ISBN
9798400706653
Identifier
10.1145/3662008.3662016
Publisher
ACM
City or Country
New York
Citation
TAN, Yi Zhen; TRAN, Ngoc Doan Thu; LIN, Sapphire; ZHAO, Fang; NG, Yee Sien; MA, Dong; KO, JeongGil; and BALAN, Rajesh Krishna.
How is our mobility affected as we age? Findings from a 934 users field study of older adults conducted in an urban Asian city. (2024). BTIW '24: Proceedings of the Behavior Transformation by IoT International Workshop, Minato-ku, Tokyo, June 3-7. 27.
Available at: https://ink.library.smu.edu.sg/sis_research/9214
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3662008.3662016