Analysis Of Influencing Factors And Competition-Cooperation Relationship Between Taxi Trip And Metro Trip

In the urban public transportation system,taxis are responsible for about 30% of the ridership,which is inseparable from the urban rail transit system and has a relationship of competition-cooperation.Quantifying this relationship could help improve the operation efficiency of urban public transportation.This paper integrates taxi GPS data and metro card data,and uses metro trips as a reference to categorize taxi operating routes.Based on the types of operating routes,it discusses the competitioncooperation relationship between taxi trips and metro trips,and analyzes influencing factors to ensure more efficient and rational use of public transport resources.The main work and conclusions are as follows:(1)Taxi operating routes categorization and the basic statistics of taxi trips.Taking the metro as a reference,the taxi operating routes are divided into transit-competing routes(There are metro stations near the origin and destination of routes),transitcomplementing routes(There are no metro stations near the origin and destination of routes),and transit-extending routes(Only one trip end is near metro stations).The statistical results show that the taxi trips on the transit-competing routes and the transitextending routes account for 26.49% and 5.38% of the total taxi trips respectively.The order time and distance of the taxi trips on the transit-extending routes are about 1/4 of those of the other two types of routes,and taxi trips on the competing routes are more concentrated in the central area of the city.(2)The choice of taxi drivers’ operating routes and the analysis of their influencing factors.From three aspects including trip factors,weather factors and built environment factors,constructing the binary Logistic model of whether taxi drivers choose to operate on the transit-competing routes or transit-extending routes respectively and analyze their influencing factors.The results show that in the off-peak period,when the temperature is too high,and there is no wind or rain,the probability of taxi drivers choosing to operate on the transit-competing routes increases significantly;in the peak period,when the temperature is too high,and there is no wind or rain,the probability of taxi drivers choosing to operate on transit-extending routes increases significantly.(3)The interactive influence of taxis and metro trips and its influencing factors.For trips whose origin and destination are near metro stations,a simultaneous equation model is constructed to explore the interaction between taxi and metro ridership.The results show that the competition between the two is the most serious during the offpeak period,followed by the morning rush hour,and the weakest during the evening rush hour.Metro passengers do not switch to taxis due to the increase of transfer times;Metro ridership decreases under rainfall conditions,but the corresponding taxi trip increases in off-peak times;significant increase in outbound passengers at employmentoriented metro stations during morning rush hour and residence-oriented metro stations during the evening rush hour.From the above results,we can see the demand for taxi trip in certain road sections may not be met due to economic cost.The government can use policies such as reducing fuel surcharges to encourage taxi drivers operating on corresponding routes.