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Effect of Laud Use on Travel Behavior-A Case Study of Shenzhen Using the Structural Equation Modeling Framework

机译:使用量对旅行行为的影响-以结构方程建模框架为例

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The process of land use and travel behavior interactions can help to solve transportation congestion problems and optimize the city infrastructure. This paper addresses the relations between travel behavior and land use patterns using a structural equations modeling (SEM) framework. Base on the Shenzhen household travel survey, this paper considers travel behavior data as the endogenous latent variable; travel distance, travel time, and trip times as the endogenous variables; land-use, social economic attributes and household attributes as the exogenous latent variables; land-use entropy, age, income, number of bus stops in the living area, and other factors as the exogenous variables. Taking trips of one person as the analysis object, this paper quantitatively qualified the relationship among these variables. The results showed that social economic characteristics have a greatest influence on the travel behavior, and land-use factors of developed area and developing area have opposite effects on travel behavior.
机译:土地使用和旅行行为互动的过程可以帮助解决交通拥堵问题,并优化城市基础设施。本文使用结构方程模型(SEM)框架解决了旅行行为与土地利用方式之间的关系。在深圳家庭出行调查的基础上,本文将出行行为数据作为内生潜变量。行程距离,行程时间和行程时间作为内生变量;土地利用,社会经济属性和家庭属性作为外生潜在变量;土地利用熵,年龄,收入,居住区公交车站的数量以及其他因素作为外生变量。本文以一个人的出行为分析对象,对这些变量之间的关系进行了定量验证。结果表明,社会经济特征对出行行为的影响最大,发达地区和发展中地区的土地利用因素对出行行为的影响相反。

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