## 4 Results and Discussion
### Interactive Detection Results
The interaction results between the FAR and the other three main influencing factors are shown in Table 6. For the pick-up ridership in the morning peak hours, the three interactions with the highest interactive \(q\) value were: the diversity index of mixed land use \(\cap\) FAR, the distance to the subway station \(\cap\) FAR, and the transportation POI density \(\cap\) FAR, with contributions of 39%, 37%, and 35%, respectively, and the percent changes in the \(q\) values after the interaction were +69.6%, +60.9%, and +52.2%, respectively. Computed with the factor detector, the \(q\) values of the distance to the nearest subway station and the diversity index of mixed land use were less than the \(q\) value of the transportation POI density, but the influence was greatly enhanced after the interaction with the FAR. The \(q\) value represents the contribution of the explanatory variable to the spatial distribution of the ridership of ride-hailing [40], which indicates that the spatial distribution of the pick-ups in the morning peak hours was more than 35% consistent with the spatial distribution of the interaction between the FAR and the three influencing factors just mentioned. This shows that during the morning peak hours, the vehicle dispatching needs to be adjusted to allocate more vehicles to the three types of areas: (1) areas with a high FAR and high diversity index of mixed land use, (2) areas with a high FAR and short distance to the subway station, and (3) areas with a high FAR and high transportation POI density. In addition, the \"diversity index of mixed land use \(\cap\) FAR\" had the strongest interaction for ride-hailing pick-ups in the morning peak hours. The operators of ride-hailing should pay special attention to the vehicle allocation and the temporary roadside parking in such areas to reduce the impact on non-motor vehicles. Attention should also be paid to vehicle allocation in areas with a high FAR around public transport stations, and planning and design for these areas should be considered to reduce the spatial conflict between public transport and ride-hailing. For the drop-off ridership in the morning 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 distance to the CBD \(\cap\) FAR, with contributions of 40%, 32%, and 31%, respectively, and the percent changes in the \(q\) values after the interaction were +135.3%, +88.2%, and +82.4%, respectively. This shows that during the morning peak hours, attention should be paid to the following areas: areas with a high FAR and short distance to the subway station, areas with a high FAR and high diversity index of mixed land use, and areas with a high FAR and short distance to the CBD. Traffic management should be set to prevent traffic congestion caused by the high-density demand of ride-hailing. It is worth noting that the \"distance to the nearest subway station \(\cap\) FAR\" had the strongest interaction for the drop-off ridership in the morning peak hours. The traffic management department should pay attention to the traffic management of high FAR areas near the subway station in the morning peak hours. For the pick-up 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 distance to the CBD \(\cap\) FAR, with contributions of 41%, 36%, and 34%, respectively, and the percent changes in the \(q\) values after the interaction were +86.4%, +63.6%, and +54.5%, respectively. This shows that during the evening peak hours, the ride-hailing operator needs to adjust the vehicle scheduling and vehicles should be allocated to the following areas: (1) areas with a high diversity index of mixed land use and a high FAR, (2) areas near the subway stations and with a high FAR, and (3) areas near the CBD and with a high FAR.