Header

UZH-Logo

Maintenance Infos

Towards a framework for assessing daily mobility using GPS data


Fillekes, Michelle; Giannouli, Eleftheria; Zijlstra, Wiebren; Weibel, Robert (2018). Towards a framework for assessing daily mobility using GPS data. GI_Forum, 1:177-186.

Abstract

In health and aging studies that include GPS assessments, mobility is often represented by a single indicator such as the number of activity locations, the size of the activity space, or the total distance covered. We argue, however, that mobility is a multi-dimensional construct. In this paper, we first provide a framework to categorize and systematically organize daily-life mobility indicators. We then illustrate this framework by computing several mobility indicators based on GPS data recorded from healthy older adults. We apply a correlational approach to the computed mobility indicators as a first step towards discovering underlying dimensions of daily mobility. We found a trend towards higher correlations between mobility indicators that represent more similar properties of mobility. The framework can be used by health researchers to inform the choice of appropriate mobility indicators in the design of empirical studies.

Abstract

In health and aging studies that include GPS assessments, mobility is often represented by a single indicator such as the number of activity locations, the size of the activity space, or the total distance covered. We argue, however, that mobility is a multi-dimensional construct. In this paper, we first provide a framework to categorize and systematically organize daily-life mobility indicators. We then illustrate this framework by computing several mobility indicators based on GPS data recorded from healthy older adults. We apply a correlational approach to the computed mobility indicators as a first step towards discovering underlying dimensions of daily mobility. We found a trend towards higher correlations between mobility indicators that represent more similar properties of mobility. The framework can be used by health researchers to inform the choice of appropriate mobility indicators in the design of empirical studies.

Statistics

Citations

Dimensions.ai Metrics

Altmetrics

Downloads

2 downloads since deposited on 11 Oct 2018
2 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:1 January 2018
Deposited On:11 Oct 2018 13:20
Last Modified:17 Sep 2019 19:38
Publisher:Verlag der Oesterreichischen Akademie der Wissenschaften
ISSN:2308-1708
OA Status:Closed
Publisher DOI:https://doi.org/10.1553/giscience2018_01_s177

Download

Content: Published Version
Language: English
Filetype: PDF - Registered users only
Size: 577kB
View at publisher