Research On The Correlation Between The Distribution Characteristics Of Taxi Trips And The Urban Built Environment Based On Geographically Weighted Regression Model

As an important mode of passenger transportation in cities,cruise taxis have always had the problem of imbalance between supply and demand.The urban built environment is an internal factor that affects traffic travel behavior.Analysis of its correlation with taxi travel distribution can effectively help traffic management departments and taxi companies to achieve reasonable traffic organization and scientifically optimized taxi dispatch to solve taxis.The contradiction between supply and demand with passengers.Starting from the characteristics of taxi travel distribution,this paper studies the impact of the urban built environment on the taxi travel distribution from the overall and local perspectives.The main research work is as follows:(1)The characteristics of taxi travel distribution are studied from the perspective of travel time and space characteristics.The temporal and spatial characteristics show that there is a big difference between the taxi trips on weekdays and weekends.On this basis,the hot spots of taxi trips are particularly extracted,and the improved adaptive DBSCAN algorithm is used to extract the peaks on weekdays and weekends.The hot spot of the taxi pick-up and drop-off point during the time.(2)By establishing a global least squares regression model,study the influence of the urban built environment on the distribution of taxi trips in the global area.Based on the existing research,5 types of indicators and 16 variables are used to characterize the urban built environment,and the overall impact of each significant influencing factor of the urban built environment on the distribution of taxi trips is studied.The results show that it affects taxis getting on and off in the morning and evening rush hours.The main factor for point distribution is external transportation facilities(train stations,airports,long-distance passenger stations),and the main factor affecting the distribution of taxi pick-up and drop-off points during peak hours is internal transportation facilities(metro stations,bus stations).(3)Through the establishment of a geographically weighted regression model to study the influence of the urban built environment on the distribution of taxi trips in a local area,the temporal and spatial heterogeneity of the influencing factors of the built environment are studied from the perspectives of time and space.The results show that the influencing factors are Different times have different degrees of influence on the distribution of taxi trips,and the same influencing factors have different effects in different local spaces.For internal transportation facilities with a greater degree of influence,they will affect taxis around external transportation hubs and residential areas.The distribution of travel has the strongest influence.(3)By quantifying the degree of influence of various influencing factors of the built environment in the hotspot area of taxi travel,the driver and passenger-oriented decisionmaking for passenger searching and riding were analyzed respectively.The results show that the influencing factors in the hot zone at each time period are different,and the degree of influence is also different.Drivers can decide their own search strategy according to the degree of influence of the influencing factors in the hot spot area at the corresponding time period;for passengers,the best working day is Taxi locations are around internal transportation facilities(metro stations,bus stations),financial insurance companies,and restaurants.The best taxi locations on weekends are around internal transportation facilities(metro stations,bus stations)and shopping malls.56 figures,33 tables,66 references.