Abstract
Taxi is an important part of urban passenger transportation system. The research and analysis of taxi trip behavior is the key to meet the demand of urban passenger transport and solve the traffic congestion problem. Based on the GPS data of taxis in Nanjing, the statistical method is used to analyze the taxi characteristics of the average number of passengers, the average passenger time, the no-load distance and the passenger distance. By using the double logarithmic coordinate, the trip distance and trip time of taxi passengers are analyzed, it is found that the average trip distance of taxi passengers is mainly concentrated in 3-20km, and the average trip time of taxi passengers is mainly concentrated in 10-30 minutes. Using the information entropy theory to construct the equilibrium model of taxi passenger-carrying point, and analyze the spatial distribution of taxi, it is found that the distribution of urban taxi is unbalanced. The peak clustering algorithm is used to determine the location of passenger gathering points, and the hot spot of taxi trip is analyzed, it is found that the hot spots of taxi trip are mainly concentrated in the central city of Nanjing. Combined with the results of urban taxi trip analysis, from the perspective of taxi and passenger, we found that the number of urban taxis, the passenger carrying rate of taxis, the duration period of passenger trip, the duration and distance of passenger trip and the location of passenger trip points will have an impact on the urban taxi carpooling in Nanjing. By using the probability model of urban taxi carpooling, this paper discusses and analyzes the influence of these factors on urban taxi carpooling. The research in this paper can provide a reference for the effective implementation of urban taxi carpooling policy.
Highlights
With the acceleration of urbanization in China and the rapid increase of vehicles, the problem of urban road traffic congestion has become a major problem that needs to be solved in urban development (Xiao et al, 2017)
Empirical data show that taxi carpooling has policy effectiveness in alleviating urban traffic congestion and resolving taxi operation difficulties
By using the spatial statistical method, the models of taxi passenger point equilibrium and passenger trip point density are established, and the spatial location and time distribution of the upper and lower passenger points are discussed, and the reasons that affect the taxi ride in urban area are analyzed from the perspective of taxi and passengers
Summary
With the acceleration of urbanization in China and the rapid increase of vehicles, the problem of urban road traffic congestion has become a major problem that needs to be solved in urban development (Xiao et al, 2017). This paper makes use of the taxi GPS data to calculate the daily average number of times of taxi passengers, the taxi no-load distance, the taxi passenger carrying distance and the duration of the taxi passengers carrying, and analyzes the characteristics of the urban taxi passenger trip. From the analysis of these characteristics, we can understand the passenger-carrying state, the duration and the daily trip time of the taxi, which provides the basis for the analysis of the influencing factors of the urban taxi carpooling. The average duration of passengers carrying per taxi is the ratio of the total taxi passenger carrying duration to the total number of times of taxi passengers carrying in unit time, which reflects the length of each taxi service The average distance of passengers carrying per taxi is the ratio of the total mileage of taxi passengers carrying to the number of taxi at specified intervals, Definition such as Formula (4): Kload
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