This paper presents a new smartphone application, Wander, to capture high resolution space-time information on urban dwellers. We detail both the mechanism as well as the analytic platform through which broad scale spatial mobility studies can be mounted to reveal how individuals move through spaces and interact with the social and physical elements of urban life. Results demonstrate the utility of Wander for collecting spatial mobility data that for the first time enables empirical testing of theories first forwarded by urban sociologists at the turn of the 20th Century. We use data collected through the Wander application to examine the timing and regularity of spatial mobility patterns, how these are related to particular urban features, and differ by participant characteristics.
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Using either the iOS Map Kit services or the Google Play Services (Maps).
A distance of 200 m was adopted following a series of tests that were designed to determine the most appropriate threshold that best captured mobility at a fine spatial scale whilst minimising battery use.
The temporary mobility profile depicts the count of mobility (all mobility and walking mobility) by hour. As such, this permits a broad comparison of the temporal distribution between both mobility types and participants.
Spatial mobility is a measure of the density of all point features falling within a given radius. Each participant is classified using the same class boundaries employing via a natural breaks classification: ‘Low’ spatial mobility = 1.79 points per square kilometre; ‘High’ spatial mobility = 457.11 points per square kilometre and higher.
Spatial mobility is a measure of the density of walking point features falling within a given radius. Each participant is classified using the same class boundaries employing via a natural breaks classification: ‘Low’ spatial mobility = 4.91 points per square kilometre; ‘High’ spatial mobility = 1,095.64 points per square kilometre and higher.
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This paper was found on research funded by the Australian Research Council, under discovery Project #DP150101293.
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Corcoran, J., Zahnow, R. & Assemi, B. Wander: A Smartphone App for Sensing Sociability. Appl. Spatial Analysis 11, 537–556 (2018). https://doi.org/10.1007/s12061-017-9228-4
- Smartphone app
- Spatial mobility
- Activity space