Spatial-temporal Heterogeneity Effects of Built Environment and Taxi Demand on Ride-hailing Demand

To study the interaction between the built environment and the travel demand of ride-hailing under the influence of taxi travel, this paper proposes urban built environment indicators around the four dimensions of density, design, diversity and distance to transit based on the data of ride-hailing and taxi orders in Nanjing city of China. A semi-parametric geographically weighted regression model (SGWR) considering local changes and global fixed terms is developed for the three periods of morning peak, evening peak and off peak to describe the spatial-temporal heterogeneity of the built environment on the travel demand of ride-hailing. The results show that: compared with ordinary least squares regression (OLS) and traditional geographically weighted regression (GWR), the AICc values of SGWR model decreased by 2.44% and 0.15% during morning peak, decreased by 4.01% and 0.30% during evening peak, and decreased by 1.89% and 0.27% in the off peak. Adjustment R2 increased by 6.52% and 0.11% during the morning peak, 8.02% and 0.55% in the evening peak, and 2.75% and 0.11% in the off peak, indicating that the SGWR model has better explanatory power and goodness of fit. The regression results of local variables show that different built environment variables have different effects on the travel demand of ride-hailing, with spatial-temporal heterogeneity. The regression results of the global variables show that the land use mix has a significant negative impact on the demand for ride-hailing in the morning and evening peak hours. There is a cooperative relationship between taxis and ride-hailing, and the number of high-density companies and bus stops will promote the demand for ride-hailing. This study can provide a theoretical basis for the rational allocation of ride-hailing resources. © 2023 Science Press. All rights reserved.