Travelers or locals? Identifying meaningful sub-populations from human movement data in the absence of ground truth

Scherrer, Luca; Tomko, Martin; Ranacher, Peter; Weibel, Robert

doi:10.1140/epjds/s13688-018-0147-7

EPJ Data Science

Table 1 The initial 32 features derived from the spatio-temporal footprint of each user

From: Travelers or locals? Identifying meaningful sub-populations from human movement data in the absence of ground truth

	Feature name	Clarification and description	Feature type
1	Active days	The number of days the user has used the app	Temporal Activity
2	Consecutive days	The highest number of consecutive days the user has used the app	Temporal Activity
3	Weekdays	The number of distinct weekdays the user has used the app	Temporal Activity
4	Period	The number of days between the first and last usage	Temporal Activity
5	Total time	The total amount of time the app has been running [s]	Temporal Activity
6	Variation of time stamp	The standard deviation of all time stamps [s]	Temporal Activity
7	Total distance	The total distance the user has covered [m]	Spatial Distance
8	Maximum distance	The distance between two most distant points a user has visited [m]	Spatial Distance
9	Daily distance	The average distance covered in a day [m]	Spatial Distance
10	Variation of daily distance	The standard deviation of the average distances per day [m]	Spatial Distance
11	Daily centroid distance	The average distance of two consecutive^{Footnote 1} daily centroids [m] The centroid is the centroid of the daily concave hull	Spatial Distance
12	Variation of daily centroid distance	The standard deviation of the distance between two consecutive daily centroids [m]	Spatial Distance
13	Distance to centroid	The average distance between the daily centroid and the overall centroid [m]	Spatial Distance
14	Variation of distance to centroid	The standard deviation of the distance between the daily centroid and the overall centroid [m]	Spatial Distance
15	Average step length	The average distance covered in a move segment^{Footnote 2} [m]	Spatial Distance
16	Standard deviation of step length	The standard deviation of the distances covered in move segments [m]	Spatial Distance
17	Area	The total area the user has covered [m2]^{Footnote 3}	Spatial Area
18	Circumference	The circumference of the total area the user has covered [m]	Spatial Area
19	Complexity	The complexity of the total area (area/circumference)	Spatial Area
20	Compactness	The compactness of the total area [4∗area/π∗maximum distance squared]	Spatial Area
21	Daily area	The average area of the daily areas covered [m²]	Spatial Area
22	Variation of daily area	The standard deviation of the daily areas covered [m²]	Spatial Variability
23	Overlap	The average percent of overlap of two consecutive daily areas covered [%]	Spatial Variability
24	Variation of overlap	The standard deviation of the percentage of overlap of two consecutive daily areas covered [%]	Spatial Variability
25	Spatial clusters	The number of clusters of start, stop or end points^{Footnote 4}	Spatial Variability
26	Number of moves	The absolute number of move segments	Spatio-Temporal Dynamics
27	Average speed	The average speed in the move segments [m/s]	Spatio-Temporal Dynamics
28	Standard deviation of speed	The standard deviation of the speed in the move segments [m/s]	Spatio-Temporal Dynamics
29	Number of stops	The total number of stops	Spatio-Temporal Dynamics
30	Total stop duration	The total duration of all stops [s]	Spatio-Temporal Dynamics
31	Stop duration	The average duration of a stop [s]	Spatio-Temporal Dynamics
32	Variation of stop duration	The standard deviation of the stops [s]	Spatio-Temporal Dynamics

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