居民居住选址与其出行生成密切相关。
The residential trip generation closely relates to the selection of residential location.
通过对个人出行选择决策的分析，建立了出行生成的非线性预测模型。
Through to goes on a journey personally the choice decision-making analysis, established went on a journey the production non-linearity forecast model.
论文主要分为两部分内容：城市交通出行生成现状分析和机动车出行生成研究。
The thesis consists of two parts: the actuality analysis of the traffic trip generation and the research on vehicle trip generation.
论文主要分为两部分内容：城市交通出行生成现状分析和机动车出行生成研究。
With the analysis and synthesis of actuality, we know some limitations of trip generation and some problems needing to solve in this stage.
出行生成模型：交通小区通达性和便利程度在很大程度上影响着居民的交通生成量，传统的出行生成预测模型无法反映这一特征。
This model demonstrates how the socioeconomic variable, traffic serving level and the socioeconomic variable around traffic zones contributes to the trip generations.
传统的交通需求4阶段分析模型大多基于各类出行的起讫点调查(OD调查)，建立出行生成、出行分布、出行方式选择和流量分配的4阶段预测模式。
The traditional travel demand model usually bases itself on the od study survey and employs a 4-step modeling process including trip generation, trip distribution, mode choice and assignment.
传统的交通需求4阶段分析模型大多基于各类出行的起讫点调查(OD调查)，建立出行生成、出行分布、出行方式选择和流量分配的4阶段预测模式。
The traditional travel demand model usually bases itself on the od study survey and employs a 4-step modeling process including trip generation, trip distribution, mode choice and assignment.
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