. 2021 Jun 6;109:107535. doi: 10.1016/j.asoc.2021.107535

Table 10.

Rules for evaluating performance.

Critical factor	Rule
Number of confirmed cases	${\tilde{p}}_{q 1} (x_{q}) = \{\begin{matrix} (0, 0, 1) & if & 0.1 \cdot {min}_{r} x_{r} + 0.9 \cdot {max}_{r} x_{r} \leq x_{q} or data not available \\ (0, 1, 2) & if & 0.35 \cdot {min}_{r} x_{r} + 0.65 \cdot {max}_{r} x_{r} \leq x_{q} < 0.1 \cdot {min}_{r} x_{r} + 0.9 \cdot {max}_{r} x_{r} \\ (1.5, 2.5, 3.5) & if & 0.65 \cdot {min}_{r} x_{r} + 0.35 \cdot {max}_{r} x_{r} \leq x_{q} < 0.35 \cdot {min}_{r} x_{r} + 0.65 \cdot {max}_{r} x_{r} \\ (3, 4, 5) & if & 0.9 \cdot {min}_{r} x_{r} + 0.1 \cdot {max}_{r} x_{r} \leq x_{q} < 0.65 \cdot {min}_{r} x_{r} + 0.35 \cdot {max}_{r} x_{r} \\ (4, 5, 5) & if & x_{q} < 0.9 \cdot {min}_{r} x_{r} + 0.1 \cdot {max}_{r} x_{r} \end{matrix})$ where $x_{q}$ is the number of confirmed cases in the region.

Population density	${\tilde{p}}_{q 2} (x_{q}) = \{\begin{matrix} (0, 0, 1) & if & 0.1 \cdot {min}_{r} x_{r} + 0.9 \cdot {max}_{r} x_{r} \leq x_{q} or data not available \\ (0, 1, 2) & if & 0.35 \cdot {min}_{r} x_{r} + 0.65 \cdot {max}_{r} x_{r} \leq x_{q} < 0.1 \cdot {min}_{r} x_{r} + 0.9 \cdot {max}_{r} x_{r} \\ (1.5, 2.5, 3.5) & if & 0.65 \cdot {min}_{r} x_{r} + 0.35 \cdot {max}_{r} x_{r} \leq x_{q} < 0.35 \cdot {min}_{r} x_{r} + 0.65 \cdot {max}_{r} x_{r} \\ (3, 4, 5) & if & 0.9 \cdot {min}_{r} x_{r} + 0.1 \cdot {max}_{r} x_{r} \leq x_{q} < 0.65 \cdot {min}_{r} x_{r} + 0.35 \cdot {max}_{r} x_{r} \\ (4, 5, 5) & if & x_{q} < 0.9 \cdot {min}_{r} x_{r} + 0.1 \cdot {max}_{r} x_{r} \end{matrix})$ where $x_{q}$ is the population density of the region.

Amount of government subsidies	${\tilde{p}}_{q 3} (x_{q}) = \{\begin{matrix} (0, 0, 1) & if & x_{q} < 0.9 \cdot {min}_{r} x_{r} + 0.1 \cdot {max}_{r} x_{r} or data not available \\ (0, 1, 2) & if & 0.9 \cdot {min}_{r} x_{r} + 0.1 \cdot {max}_{r} x_{r} \leq x_{q} < 0.65 \cdot {min}_{r} x_{r} + 0.35 \cdot {max}_{r} x_{r} \\ (1.5, 2.5, 3.5) & if & 0.65 \cdot {min}_{r} x_{r} + 0.35 \cdot {max}_{r} x_{r} \leq x_{q} < 0.35 \cdot {min}_{r} x_{r} + 0.65 \cdot {max}_{r} x_{r} \\ (3, 4, 5) & if & 0.35 \cdot {min}_{r} x_{r} + 0.65 \cdot {max}_{r} x_{r} \leq x_{q} < 0.1 \cdot {min}_{r} x_{r} + 0.9 \cdot {max}_{r} x_{r} \\ (4, 5, 5) & if & 0.1 \cdot {min}_{r} x_{r} + 0.9 \cdot {max}_{r} x_{r} \leq x_{q} \end{matrix})$ where $x_{q}$ is the amount of government subsidies for traveling to the region.

Number of outdoor attractions	${\tilde{p}}_{q 4} (x_{q}) = \{\begin{matrix} (0, 0, 1) & if & x_{q} < 0.9 \cdot {min}_{r} x_{r} + 0.1 \cdot {max}_{r} x_{r} or data not available \\ (0, 1, 2) & if & 0.9 \cdot {min}_{r} x_{r} + 0.1 \cdot {max}_{r} x_{r} \leq x_{q} < 0.65 \cdot {min}_{r} x_{r} + 0.35 \cdot {max}_{r} x_{r} \\ (1.5, 2.5, 3.5) & if & 0.65 \cdot {min}_{r} x_{r} + 0.35 \cdot {max}_{r} x_{r} \leq x_{q} < 0.35 \cdot {min}_{r} x_{r} + 0.65 \cdot {max}_{r} x_{r} \\ (3, 4, 5) & if & 0.35 \cdot {min}_{r} x_{r} + 0.65 \cdot {max}_{r} x_{r} \leq x_{q} < 0.1 \cdot {min}_{r} x_{r} + 0.9 \cdot {max}_{r} x_{r} \\ (4, 5, 5) & if & 0.1 \cdot {min}_{r} x_{r} + 0.9 \cdot {max}_{r} x_{r} \leq x_{q} \end{matrix})$ where $x_{q}$ is the number of outdoor attractions in the region.

Expected value	${\tilde{p}}_{q 5} (x_{q}) = \{\begin{matrix} (0, 0, 1) & if & x_{q} = “ {very low}^{''} \\ (0, 1, 2) & if & x_{q} = “ {low}^{''} \\ (1.5, 2.5, 3.5) & if & x_{q} = “ {moderate}^{''} \\ (3, 4, 5) & if & x_{q} = “ {high}^{''} \\ (4, 5, 5) & if & x_{q} = “ {very high}^{''} \end{matrix})$ where $x_{q}$ is the expected value of the travel destination.