Analysis of the Spatial and Temporal Distribution Char-acteristics and Influenc-ing Factors of Urban Taxi Empty Load Rate: A Case Study of the Central Urban Area of Chengdu City
Abstract
This paper analyzes the spatial and temporal relationships between cab driver behavior-al factors and external environmental factors and cab unoccupancy rate based on the GPS trajectory data and POI data of cabs in Chengdu, using a geographically weighted regression (GWR) model. The results show that: (1) The average empty rate of Chengdu cabs on weekdays and non-weekdays is 53.9% and 56.7% respectively, and its empty rate on weekdays and non-weekdays as a whole shows the spatial distribution charac-teristics of clustering towards the city center. (2) The low empty rate of urban cabs is mainly dominated by the morning and evening peaks on weekdays and non-workdays. The external environmental factors can significantly reduce the cab idling time in most areas.
Fields of Study & Subjects
Transportation and Mobility Innovations
Transportation Planning and Optimization
Traffic Prediction and Management Techniques
Publication details
- Journal / source
- Frontiers in Business Economics and Management
- Volume
- 22
- Issue
- 2
- Pages
- 51–59
- Publication date
- 10 February 2026
- Language
- EN