Car holding and use behavior analysis method based on sample selection model

A technology for selecting models and analysis methods, applied in the research field of analysis methods for car ownership and use behavior based on sample selection models

Inactive Publication Date: 2017-08-25
BEIHANG UNIV
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  • Application Information

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Problems solved by technology

However, few people have combined the two for joint analysis. Considering the dependence and endogeneity of t

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  • Car holding and use behavior analysis method based on sample selection model
  • Car holding and use behavior analysis method based on sample selection model
  • Car holding and use behavior analysis method based on sample selection model

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Embodiment

[0033] 1) Take the traffic survey data of Zhongshan City as an example, import the traffic survey data of Zhongshan City into the statistical software, select explanatory variables, and build the model. This embodiment only gives the model results of simultaneously introducing the residential place and built environment attribute variables, and the modeling process of separately introducing the residential place and built environment attributes is consistent with the embodiment. The explanatory variables introduced by the constructed two-step model are as follows:

[0034] The explanatory variables of car ownership include: number of children in the family, whether the family has a passport, the total annual income of the household is less than 20,000, the total annual income of the household is greater than 60,000, H employment density, H_intersection density, H_bus stop Density, H_Land Mixed Use Entropy, H_CBD Distance, W_Jobs Density, W_Intersection Density, W_Bus Stop Dens...

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Abstract

The invention discloses a car holding and use behavior analysis method based on a sample selection model and further analyzes a role of the built residence place and employment place environment. The method comprises steps that 1, data is acquired, and the data mainly comprises large-scale resident travel data, social economic attributes and the built residence place and work place environment data; 2, a car holding selection equation is determined according to the sample selection model; 3, a car use result equation is constructed for a car holding group acquired through selection in the step 2, and the result equation is added into selection deviation items; 4, a model is constructed in statistic software, and the built environment is set to be the built residence place and employment place environment; and 5, practical significance and reasons implied in each parameter of the model result are analyzed. The method is advantaged in that endophytism and dependence relationships existing in car holding and use are considered, a combined model based on the sample selection model is utilized, sample selection deviation is eliminated, and influence of the built residence place and employment place environment on car dependence is studied.

Description

technical field [0001] The invention belongs to the field of traffic behavior modeling and analysis, and specifically relates to the research on an analysis method for car ownership and use behavior based on a sample selection model. Background technique [0002] The proportion of China's urban population increased from 19.39% in 1980 to 54.77% in 2014, accompanied by the rapid growth of car ownership. From 2005 to 2014, the number of cars in my country increased by nearly 10 times, reaching 106 million. Followed by a series of traffic congestion problems, environmental pollution problems, energy consumption problems. The government has to take some measures to solve these problems, and the policy of traffic restriction and purchase restriction has become a major measure of government departments. Large cities in my country and even some second-tier cities have implemented vehicle traffic restriction or vehicle purchase restriction policies. However, it is worth analyzing ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06
CPCG06Q10/06393
Inventor 丁川段金肖鹿应荣鲁光泉
Owner BEIHANG UNIV
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