## 3 Results
### Satisfaction of Environmental Indicators  
As mentioned above, sound satisfaction is related to environmental satisfaction, therefore, evaluation of environmental satisfaction was analyzed. In this study, questions were asked about satisfaction of each of the following environmental indicators: sound, light, temperature, humidity, air, wind, water, color, health, urban planning, odor, traffic and people in both countries. The results are shown in Figure 4. The evaluation ranking of environmental satisfaction differs for each country. Figure 4 shows that wind (average score 0.69) and color (1.13) are the highest indicators by score, and health (average score 0.05) and humidity (0.41) are the lowest scores in China and Croatia respectively. The standard deviations are relatively low compared to the mean value. Satisfaction evaluation of environmental indicators in China is generally lower than in Croatia. The indicator of sound satisfaction is ranked as the tenth and the ninth among the totally 13 indicators in China and Croatia respectively. Figure 4: Average evaluation score of each environmental indicator in China and Croatia. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline  & & \multicolumn{5}{c}{**Spearman’s Rho Correlations**} \\ \cline{3-6}  & & \multicolumn{2}{c}{**Sound**} & \multicolumn{2}{c}{**Environmental**} & \multicolumn{2}{c}{**Transquility**} \\  & & **Satisfaction** & **Satisfaction** & **Importance** & **Pleasantness** & **Eventfulness** \\ \hline Sound satisfaction & China & 1 & & & & \\  & Croatia & 1 & & & & \\ \hline Environmental satisfaction & China & 0.500 \({}^{\ast}\) & 1 & & & \\  & Croatia & 0.520 \({}^{\ast}\) & 1 & & & \\ \hline Tranquility importance & China & -0.096 \({}^{\ast}\) & 0.006 & 1 & & \\  & Croatia & -0.221 \({}^{\ast}\) & -0.159 \({}^{\ast}\) & 1 & & \\ \hline \multirow{2}{*}{_Plasantness_} & China (Factor 2) & 0.147 \({}^{\ast}\) & 0.277 \({}^{\ast}\) & 0.002 & 1 & \\  & Croatia (Factor 1) & 0.407 \({}^{\ast}\) & 0.493 \({}^{\ast}\) & -0.274 \({}^{\ast}\) & 1 & \\ \hline \multirow{2}{*}{_Eventfulness_} & China (Factor 1) & 0.341 \({}^{\ast}\) & 0.298 \({}^{\ast}\) & -0.069 & 0.15 & 1 \\  & Croatia (Factor 2) & 0.032 & 0.045 & -0.012 & -0.054 & 1 \\ \hline \hline \end{tabular}  
\({}^{\ast}\) Significant at \(p<0.01\) and \({}^{\ast}\) significant at \(p<0.05\).  
\end{table} 
Table 3: Average score and Spearman’s rho correlations between subjective satisfaction, tranquility importance and soundscape factors. By using the independent samples test, it can be seen that there are generally significant differences (\(p<0.01\)) between satisfaction evaluations in China and Croatia, except temperature, humidity and wind (\(p>0.05\)). In general, the physical environments are different in China and Croatia, however, in summer, respondents' satisfaction with thermal comfort is not very different. Correlation between satisfaction of each environmental indicator and overall satisfaction is also studied. It can be noted that indicators are positively correlated to overall environmental satisfaction (\(p<0.01\)) as well as evaluation of sound satisfaction (\(p<0.01\)) both in China and Croatia. This mainly indicates the complexity of satisfaction evaluation in urban open public spaces. Environmental indicators, such as physical, urban and natural conditions, also influence satisfaction evaluation. Factor analysis was used to analyze the relationship between overall environmental satisfaction evaluation and subjective evaluation of various environmental indicators in China and Croatia respectively. Varimax-rotated principal component analysis was employed to extract the orthogonal factors from 13 environmental indicators. With the criterion factor of eigenvalue \(>\)1, factors are determined as shown in Table 4.  
For China, Factor 1 (21.0%) is mainly associated with natural conditions, including water, air, color and health. Factor 2 (20.6%) is generally associated with urban conditions, including traffic, people, urban planning, odor and sound.