Analysis and modeling of ride-sharing service user behavior in urban area

In recent years, with the advent of ride-sharing, it has brought big influence to people's daily life. It makes calling a taxi easier with the help of Internet and application in smart phones. However, what quantitative and qualitative characteristics the ride-sharing has and whether some differences exist among the ride-sharing services of each Transportation Network Company (TNC) is unknown. To address these questions, this article tries to analyze the ride-sharing services of three TNCs from three quantitative perspectives: its temporal characteristic, spatial characteristic and distribution characteristic. From the temporal characteristic, we know how the number of users and passengers on each platform change with time in a week. From the spatial characteristic, we find the locations where people often use ride-sharing and how these locations change in different periods of a day. From the distribution characteristic, we draw time interval's distribution of ride-sharing usage behavior on each TNC and calculate its relevant indicators. These results help us understand the usage and condition of ride-sharing in China and help to improve the quality of TNC services and provide useful advises to urban planning.