Highlights The taxi trip pattern in Shanghai is demonstrated in the study and a regression model is developed to show different relationship between taxi ridership and external variables.
Abstract Taxicab is one of the critical components of the urban mobility in most metropolitan areas on the world, especially in the emerging countries. Last year in Shanghai, the total 50,000 taxicabs carry 2.8 million passengers and travel 17.1 million kilometers every day. The tremendous amount of the stochastic and independent trips across the city makes the taxi problem more complex than transit such as bus and metro. Multi-source data over space and time provide an efficient way to explore the taxi ridership and travel pattern. In this study, we first summarize the historical operation records of Shanghai taxicabs, and then compare the temporal and spatial variation patterns of the taxi trips in Shanghai and New York City using GPS data. A regression model is developed to investigate the relationship between ridership and variables including urban land use, resident population, employment and car ownership. The results of this study may first improve the transportation model, and also benefit the efficiency of taxi operation and policy making.
Urban taxi ridership analysis in the emerging metropolis: Case study in Shanghai
2018-09-17
7 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
A multiscale spatial analysis of taxi ridership
Elsevier | 2023
|Analysis of Grid Cell–Based Taxi Ridership with Large-Scale GPS Data
Transportation Research Record | 2016
|Influencing factors and heterogeneity in ridership of traditional and app-based taxi systems
Online Contents | 2018
|