Table 1 Quantitative results of the Bayesian multivariate linear mixed model to explain the daily number of visits to POIs.

NPIs stringency

\(-0.148 \pm 0.004\)

\(-0.204 \pm 0.004\)

\(-0.242 \pm 0.009\)

Death ratio

\(-0.072 \pm 0.004\)

\(-0.053 \pm 0.003\)

\(-0.040 \pm 0.007\)

Max temperature

–

\(0.009 \pm 0.004\)

\(-0.001 \pm 0.099\)

Precipitations

–

\(-0.002 \pm 0.003\)

\(0.001 \pm 0.100\)

Risk adaptation

–

–

\(0.118 \pm 0.004\)

\(R^2\)

\(0.67 \pm 0.02\)

\(0.72 \pm 0.02\)

\( \mathbf{0.78 \pm 0.02}\)

PSIS-LOO

\(610.60 \pm 31.94\)

\(747.44 \pm 28.78\)

\( \mathbf{846.76 \pm 29.59}\)