Research on the Impact of Urban Passengers'Travel Mode Choice Based on Random Parameter Logit
In order to explore the impact of the opening of new urban train lines on passengers'travel route choices,this paper took passengers traveling from Huyi District to the main urban area of Xi'an as the research object to analyze the impact of the opening of urban trains on passengers'travel mode choices.The traditional multinomial logit model has nothing to do with scheme independence and cannot quantitatively study the differences in passengers'travel mode choices,therefore,this paper uses the random parameter logit model to analyze the city-wide passenger travel mode choices.We selected passengers'individual attributes,urban travel mode attributes,and arrival and departure attributes to design a questionnaire,we conducted a survey using a combination of online and offline methods,and obtained 1205 pieces of valid data.Based on this,we established and solved a random parameter Logit model.The results show that when passengers choose to travel by bus,city travel distance,occupation,ticket purchase method,arrival method and arrival time have a significant impact on passengers'choice of travel mode,the city travel time obeys the random distribution of(-0.15,0.1462)normal distribution parameter characteristics;Perform marginal effect analysis on the random parameters of urban travel time,after the urban travel time exceeds 30 minutes,passengers are less likely to choose buses and cars to travel,and more likely to choose urban trains to travel;Conduct elastic analysis on the variables that significantly affect the choice of passenger travel mode,for every 1%increase in arrival cost,the probability of passengers choosing the bus increases by 0.394%,the probability of choosing the high-speed rail decreases by 1.888%,the probability of choosing the urban train increases by 0.569%,and the probability of choosing the car decreases by 0.030%.The results confirm that passengers have heterogeneous preferences for urban travel time.Long urban travel time will reduce the probability of passengers choosing buses and cars,and reduced arrival time can increase the probability of passengers choosing urban trains.
万方数据
维普
