The Research of Rail Transit Travel Characteristic and Sharing Rate
|School||Beijing Jiaotong University|
|Course||Traffic and Transportation Engineering|
|Keywords||Rail Transport Trip Characteristics Multinomial Logit Model Sharing Rate|
With the rapid development of china’s socio-economic level, sharp increase of urban space and population size, the contradiction between traffic demand and traffic supply is more prominent, the phenomenon of traffic congestion is increasing. Rail transport as an effective way to ease the pressure on urban traffic, with the advantage of large volume, speed, quasi-time, less pollution and safety, its exploration and research you can better find its own transportation advantage, provide a reference for the formulation of urban traffic congestion mitigation and traffic policy. Therefore, the article combined with the latest residents to travel on the basis of the survey data to research the characteristics and laws of the rail transportation, centralized spatial and temporal scales were established rail transit trip model of the spatial and temporal scales and share model SPSS19.0software with the latest model fitting, getting centralized spatial and temporal scales of the rail transit travel and rail transportation relative to other ways of sharing rate, the specific research topics include the following aspects:(1) According to the forth Beijing residents travel data, summary and analysis from a resident of the trip purpose, travel time, travel space characteristics of the rail transportation, introduction the impact factors of the rail transit travel from the macro and micro aspects.(2) Analysis of the aggregate model and disaggregate model of the traffic division, focus on the disaggregate model carried out a detail classification introduce and advantages and disadvantages of research, laid the foundation for the selection and application of the following model.(3) Combined with the residents and travel survey data to study the spatial and temporal scales of the rail transit travel. Select the curve model fitting the travel distance and travel time of the rail transit, getting track traffic travel distance and travel time consumption distribution scale model, so as to further calculate the concentration range of rail transit travel, and clear its own transport superiority.(4) Combined with data of BeijingChaoyang district residents travel, analysis of impact of gender, age, trip purpose, monthly family income, as well as travel distance on the choice of rail transit, bus, car, bicycle and taxi five kinds of modes of transportation, then selected in which a number of factors as a special type of variable model application SPSS19.0software model parameter calibration, and test the likelihood Ratio, likelihood Ration Index and hit rate of the model. From the analysis of the model parameters to determine the more significance factors that impact on rail transportation and its impact, pointed out the direction for the development and progress of the rail transportation, also provides the possibility for the transfer of rail transportation for passenger traffic to other modes of transportation.