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

Lu Lu; Yongping Bai

doi:10.54097/641c2c78

Authors

Lu Lu
Yongping Bai

DOI:

https://doi.org/10.54097/641c2c78

Keywords:

Cab empty rate, Factors affecting idling rate, Geographically weighted regression, Spatio-temporal relationship

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.

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