Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

8-2020

Abstract

For wheelchair users, social participation and physical mobility play a significant part in determining their mental health and quality of life outcomes. However, little is known about how wheelchair users move about and engage in social interactions within their life-spaces. In this project, we investigate the social participation performance of the wheelchair users based on a combination of geolocational and lifestyle survey data collected over a period of three months. This paper adopts a multi-variate approach combining geolocational travel patterns and various factors such as independence, willingness and self-perception to provide multi-faceted analysis to their lifestyles. We provide profiles of wheelchair users by combining these factors in an empirical analysis. With our users' geolocational data, we can demonstrate the influence of other factors on wheelchair users' social participation performance with regards to life-space mobility.

Keywords

Social participation, geospatial, mobility pattern, data analytics, social insights

Discipline

Computer Engineering | Databases and Information Systems

Research Areas

Data Science and Engineering

Publication

Proceedings of the 16th International Conference on International Conference on Automation Science and Engineering (CASE), Hong Kong, 2020 August 20-21

First Page

1

Last Page

6

Identifier

10.1109/CASE48305.2020.9216793

Publisher

IEEE

City or Country

Hong Kong

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