Influence Of New-built Subway Based On SP/RP Data Fusion On Residents' Travel Mode Choice

With the acceleration of urbanization in China and the increasing level of urban mobility,traffic congestion in cities has become a focus of attention and an urgent problem to be solved.In order to ease traffic congestion,major cities in China are vigorously developing public transportation.As a rapid,efficient,safe,convenient,large-capacity,and space-saving public transport system,rail transit has gradually received attention and has become a share of the ground in large cities.The main mode of transportation for passenger flow.The purpose of this study is to analyze the effects of traffic behavior theory and disaggregated model theory on the impact of the opening of the second phase of the new subway line 1 in Dalian on the choice of residents' travel mode,so as to improve the level of public transport services and improve the sharing of public transportation for reference.In December 2017,a pre-opening survey was conducted along the second phase of Metro Line 1 in Dalian City.A total of 300 questionnaires were returned,of which 287 were valid questionnaires.Firstly,combined with the utility maximization theory,using the SP(Stated Preference)data,RP(Revealed Preference)data,and SP/RP fusion data that were investigated before the subway opening,Multinominal Logit model,Nested Logit model,and Mixed Logit model were established.Calculating the hit rate of each model is better than selecting the optimal model.The model results show that the factors affecting the choice of residents' travel modes are: purpose of travel,time of travel,cost of travel,whether transfer in the course of travel,age,monthly income,whether the family Has a car,in which travel time has a greater impact on residents' choice of transportation mode than travel expenses and whether there are transfers during travel.Comparing the models based on three kinds of data,it is found that the SP/RP data fusion modeling method can overcome the insufficiency of modeling RP data and SP data separately and improve the model fitting degree.After the opening of the second phase of Metro Line 1 in Dalian,a questionnaire survey was conducted again on the choice of travel mode of residents along the subway in April 2018.448 questionnaires were returned,and 423 valid questionnaires were used as the validation data for the verification model.The verification results show that the model established by the SP/RP data fusion method is acceptable for the prediction of travel mode selection behavior.Finally,it proposes suggestions on the factors affecting residents' travel choices,including travel time,fare,and transfer.By increasing the frequency of train departures,establishing a reasonable and efficient station instruction and elevator system to reduce travel time;sub-times sub-routes to develop fare plans,reduce the number of transfers and transfer time and other measures,improve the subway sharing rate,and formulate relevant policies for the government.for reference.