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Table 7 Factor loadings for the set of mobility indicators listed in Table 5 to uncover latent mobility dimensions (for one out of the 10 EFA runs for the data condition 3 days/8 h)

From: Towards a comprehensive set of GPS-based indicators reflecting the multidimensional nature of daily mobility for applications in health and aging research

VariableFactor
1
Extent of life space
2
Quantity OH activities
3
Time spent in ATM
4
Stability of life space
5
Elongation of life space
6
Timing of mobility
% explained variation22%12%11%9%8%7%
MaxDistb0.87     
CHullb0.94     
SDEb0.93     
LengthPerTripb0.70     
LocVara0.79     
DurPTMb0.48     
TOHc 0.64    
Entropyb 0.76    
NumLocb 0.83    
NumUniqLocb 0.37    
DurATMc  0.96   
MaxDurATMc  0.96   
RevisitedLSa   0.95  
AvgRevisitedLSc   0.74  
SDDirMaxDista   − 0.40  
GravCompactb    0.93 
Maj2MinAxisb    0.72 
TimeMaxDistc     0.74
TimeFirstMovec     0.65
TimePeriodActivec     0.51
  1. Extraction method: Maximum-likelihood factor analysis. Rotation method: varimax. Transformations: aoriginal, blog transformed, csquare-root transformed. Variables’ factor loadings are displayed for the factor that they correlated most with. Test of the hypothesis that 6 factors are sufficient cannot be rejected (p-value is 0.137). The six factors capture over 68% of the variance originally observed between the 20 variables