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GI_Forum 2018, Volume 6, Issue 1Journal for Geographic Information Science
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |
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DATUM, UNTERSCHRIFT / DATE, SIGNATURE
BANK AUSTRIA CREDITANSTALT, WIEN (IBAN AT04 1100 0006 2280 0100, BIC BKAUATWW), DEUTSCHE BANK MÜNCHEN (IBAN DE16 7007 0024 0238 8270 00, BIC DEUTDEDBMUC)
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GI_Forum 2018, Volume 6, Issue 1, pp. 177-186, 2018/06/22
Journal for Geographic Information Science
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.
Keywords: healthy aging, framework, spatial activity, mobility indicator, real-life assessment