Modeling And Precise Regulation Of Residents’ Commuting Behavior Based On Urban Functional Zoning

At present,traffic congestion in large cities is becoming increasingly severe,especially in highly aggregated areas such as residential,commercial,office,and transportation hubs.The inefficient travel for residents and poor utilization of road space are prevalent.However,travel demand regulation,as a proactive guiding strategy,is gradually becoming an important means of alleviating the contradiction between transport supply and demand and improving transport efficiency under high-intensity travel conditions in large cities.Because of the complex timevarying patterns of travel demand in different urban functional areas and the spatial variability of urban residents’ travel behavior,there is an important practical need to carry out research on residents’ travel choice behavior and travel regulation strategies based on the division of urban functional areas.Based on the POI(Point of Interest)and AOI(Area of Interest)data,this paper constructs urban land use function weighting scores to quantify the degree of aggregation of urban land use functions.The K-medians clustering algorithm is used to divide urban land into 4 functional areas.After that,the trip origin-destination of urban residents is divided into 16 OD types according to the urban functional area where the trip origins and trip destinations are located.Based on the analysis of the departure time-travel mode characteristics of residents of different OD types,a joint resident departure time and travel mode choice model considering subdivided OD is constructed in conjunction with the NL model.This paper analyses the applicability of travel moderation strategies to different OD types of travel groups based on model prediction results and model parameter estimation results.The expected effects of travel regulation strategies are estimated quantitatively by using sensitivity analysis.The research results of this paper can provide model support for analyzing the travel choice behavior of urban residents,and provide some reference and theoretical basis for the spatially differentiated application of travel regulation strategies.