Authors: SHIYUE ZHANG*,
Topics: Transportation Geography, Urban Geography, Urban and Regional Planning
Keywords: ridesourcing, travel demand, built environment
Session Type: Paper
Presentation File: No File Uploaded
In recent years, an app-based service, which connects travelers and drivers and is called ridesourcing, provides a new choice of modern mobility. This service is provided by transportation network companies (TNCs) such as Uber from the USA and DiDi Chuxing from China. Travelers can use mobile apps to send travel requests to TNCs, once a request is accepted by a driver, the traveler can see a real-time updated location of the driver and the estimated arrival time. Ridesourcing services have a rapid growth in urban areas, but the determinants of ridesourcing usage is still unclear in the literature. This research aims at clarifying the impacts of built environments on trip generation and trip distribution of ridesourcing uses.
This research uses the complete services records from the TNC “DiDi Chuxing” in Chengdu, China from November 1, 2016 to November 30, 2016 as the study data and applied spatial regression methods to analyze the data. Using “Jiedao” as a spatial observation unit, the dependent variables include number of requests at origins and destinations (O-D) and O-D travel time. To explain the dependent variables, the 5Ds variables are applied to measure built environment attributes, and the control variables include socioeconomic, transport and environmental characteristics. The empirical findings of this research not only identify how built environment attributes affect ridesourcing uses but also guide local administrations conducting integrated planning of land use and transportation and provide valuable information to TNCs for management strategies in the future.