# Urban Greenway Planning and Designing Based on MGWR and the Entropy Weight Method
## 3 Results
### Sensitivity Analysis Results  
The most important four variables, which are the density of tourist attractions, POI entropy index, road density, and intermediate, are used to perform the sensitivity analysis. For the density of tourist attractions, as the density of scenic spots changes from 0 to 1, the sensitivity increases. As the density increases, it shows a downward trend and then increases. The average sensitivity was 0.63. For POI entropy index, the sensitivity shows an increasing trend. The average sensitivity was 1.25. For the road density, the sensitivity changes little, and the overall trend is increasing. The average sensitivity was 0.95. For intermediate, the sensitivity shows a decreasing trend. The average sensitivity was 0.78. Therefore, the POI entropy index have important effects on the greenway planning.  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Variables** & **Average** & **Standard Deviation** & **Quartile** & **Minimum Value** & **Maximum Values** \\ \hline POI entropy index & 0.2907 & 0.5232 & 0.0006 & \(-\)0.1036 & 1.5956 \\ Road density & 0.0108 & 0.0226 & 0.0000 & \(-\)0.0036 & 0.0836 \\ Intersection density & \(-\)2.3220 & 9.7592 & 0.0000 & \(-\)31.8100 & 15.3939 \\ Density of tourist attractions & \(-\)2.1328 & 6.6617 & \(-\)0.0074 & \(-\)50.3707 & 14.9779 \\ Distance to bus stop & 0.0021 & 0.0071 & 0.0000 & \(-\)0.0218 & 0.0481 \\ Accessibility & \(-\)17.3211 & 38.8871 & \(-\)0.0060 & \(-\)159.7316 & 39.8026 \\ Distance to metro station & \(-\)0.0033 & 0.0081 & 0.0000 & \(-\)0.0577 & 0.0027 \\ Greening ratio & 0.000035 & 0.0003 & 0.0000 & \(-\)0.0011 & 0.0007 \\ Intermediate & \(-\)0.0056 & 0.0179 & \(-\)0.0002 & \(-\)0.1714 & 0.0346 \\ Land use mix & 1.1058 & 6.2864 & 0.0560 & \(-\)17.5111 & 32.3014 \\ \hline \hline \end{tabular}
\end{table}
Table 4: The calculation results of the MGWR model.  
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Variables** & **Non-Standardized Coefficient** & **Standardized Factor** & **t** & **Sig.** &
\begin{tabular}{c} **Covariance Statistic** \\ **Tolerances** \\ \end{tabular} \\ \cline{2-7}  & **B** & **Standard Error** & **Trial Version** & & **Tolerances** & **VIF** \\ \hline (Constant) & \(-\)11.947 & 7.524 & & \(-\)1.588 & 0.112 & \\ Density of tourist attractions & \(-\)6.282 & 1.484 & \(-\)0.039 & \(-\)4.233 & 0.000 & 0.913 & 1.095 \\ Land use mix & \(-\)2.221 & 4.710 & \(-\)0.004 & \(-\)0.471 & 0.637 & 0.908 & 1.101 \\ POI entropy index & 1.365 & 0.023 & 0.622 & 60.448 & 0.000 & 0.733 & 1.365 \\ Distance to bus stop & 0.006 & 0.002 & 0.030 & 2.829 & 0.005 & 0.687 & 1.456 \\ Distance to metro station & \(-\)3.901 \(\times\) 10\({}^{-5}\) & 0.000 & \(-\)0.002 & \(-\)0.118 & 0.906 & 0.345 & 2.901 \\ Greening ratio & 0.0000082 & 0.000 & 0.013 & 1.186 & 0.236 & 0.694 & 1.442 \\ Accessibility & \(-\)7.118 & 5.175 & \(-\)0.018 & \(-\)1.376 & 0.169 & 0.452 & 2.214 \\ Road density & 0.043 & 0.003 & 0.275 & 15.516 & 0.000 & 0.247 & 4.046 \\ Intersection density & \(-\)14.825 & 1.736 & \(-\)0.119 & \(-\)8.538 & 0.000 & 0.400 & 2.501 \\ Intermediate & \(-\)0.002 & 0.012 & \(-\)0.001 & \(-\)0.152 & 0.879 & 0.925 & 1.081 \\ \hline \hline \end{tabular}
\end{table}
Table 2: The results of linear regression.  
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Variables** & **Moran’s I** & **Z-Score** & _p-Value_ \\ \hline POI entropy index & 0.686 & 78.013 & 0.000 \\ Road density & 0.635 & 72.016 & 0.000 \\ Intersection density & 0.589 & 66.712 & 0.000 \\ Density of tourist attractions & 0.393 & 47.253 & 0.000 \\ Distance to bus stop & 0.963 & 109.101 & 0.000 \\ Accessibility & 0.887 & 100.441 & 0.000 \\ Land use mix & 0.216 & 24.516 & 0.000 \\ Distance to metro station & 0.999 & 113.143 & 0.000 \\ Greening ratio & 0.714 & 80.877 & 0.000 \\ Intermediate & 0.207 & 23.697 & 0.000 \\ \hline \hline \end{tabular}
\end{table}
Table 3: The Moran’s I of each indicator.