## 4 Results and Discussion
### Interactive Detection Results
It is worth noting that the \(q\) value of the distance from the CBD computed with the factor detector was 0.04, but the interaction between the distance from the CBD and the residential POI density had a high \(q\) value of 0.39 with an increase of 875%, which indicates that the ride-hailing company should allocate more vehicles to residential communities near the CBD during the evening peak hours. In addition, the \(q\) value of the single-factor effect of transportation POI density was 0.14, and the interaction between the transportation POI density and the distance to the CBD had a high \(q\) value of 0.35 with an increase of 150%. This indicates that an increase in the transportation POI density near the CBD will result in more ride-hailing demand. For the drop-off ridership in the evening peak hours, the three interactions with the highest interactive \(q\) values were: the distance to the nearest subway station \(\cap\) FAR, the diversity index of mixed land use \(\cap\) FAR, and the population density \(\cap\) FAR, with contributions of 39%, 37%, and 35%, respectively, and the percent changes in the \(q\) values after the interaction were +62.5%, +54.2%, and +45.8%, respectively. It is worth noting that the \(q\) value of the single-factor effect of the distance to the CBD was 0.03, and the \(q\) value of the interaction with the residential POI density was 0.40, which is 1.233% higher than the single-factor effect. This indicates that an increase in the residential POI density near the CBD will result in more ride-hailing demand. \begin{table}
\begin{tabular}{c c c c c} \hline \hline \multirow{2}{*}{**Time**} & **Dependent** & **Dominant Factor** & **Interactive** & **Percent Change in \(q\)** \\  & **Variable** & **(\(q\) Value)** & & **Value after Interaction** \\ \hline \multirow{4}{*}{\
\begin{tabular}{c} Morning peak \\ hours \\ \end{tabular} } & Pick-ups of ride-hailing & \multirow{2}{*}{FAR (0.23)} & Diversity index of mixed land use \(\cap\) FAR: & 0.39 & +69.6\% \\  & & Distance to the nearest subway station \(\cap\) FAR: & 0.37 & +60.9\% \\  & & Transportation POI density \(\cap\) FAR & 0.35 & +52.2\% \\ \cline{2-5}  & Drop-offs of & \multirow{2}{*}{FAR (0.17)} & Distance to the nearest subway station \(\cap\) FAR: & 0.40 & +135.3\% \\  & ride-hailing vehicles & & Diversity index of mixed land use \(\cap\) FAR: & 0.32 & +88.2\% \\  & & Distance to CBD \(\cap\) FAR & 0.31 & +82.4\% \\ \hline \multirow{4}{*}{
\begin{tabular}{c} Evening peak \\ hours \\ \end{tabular} } & Pick-ups of ride-hailing & \multirow{2}{*}{FAR (0.22)} & Distance to the nearest subway station \(\cap\) FAR: & 0.41 & +86.4\% \\  & vehicles & Diversity index of mixed land use \(\cap\) FAR: & 0.36 & +63.6\% \\ \cline{1-1}  & & Distance to CBD \(\cap\) FAR & 0.34 & +54.5\% \\ \cline{1-1} \cline{2-5}  & Drop-offs of & \multirow{2}{*}{FAR (0.24)} & Distance to the nearest subway station \(\cap\) FAR: & 0.39 & +62.5\% \\ \cline{1-1}  & ride-hailing vehicles & & Diversity index of mixed land use \(\cap\) FAR: & 0.37 & +54.2\% \\ \cline{1-1} \cline{2-5}  & & Population density \(\cap\) FAR & 0.35 & +45.8\% \\ \hline \hline \end{tabular}
\end{table} 
Table 6: The interactive detector results of dominant variables.