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The built environment typologies in the UK and their influences on travel behaviour: new evidence through latent categorisation in structural equation modelling

机译:英国的建筑环境类型及其对旅行行为的影响:结构方程模型中潜在分类的新证据

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This paper uses a new latent categorisation approach (LCA) in structural equation modelling (SEM) to gain fresh insights into the influence of the built environment characteristics upon travel behaviour. So far as we are aware, this is the first LCA-SEM application in this field. We use all the main descriptors of the built environment in the UK National Travel Survey data in the analysis whilst accounting for the high correlations among the descriptors - this is achieved through defining a categorical rather than continuous latent variable for the built environment characteristics. This novel approach to defining a tangible typology of the built environment in the UK is capable of making the analytical results more cogent to formulating new, proactive land use planning and urban design measures as well as monitoring the outcomes of on-going planning and transport interventions. Since travel survey data are regularly collected across a large number of cities in the world, our approach helps to guide the design of future travel surveys for those cities in a way that enhances the analysis and monitoring of the impacts of planning and transport policies on travel choices.
机译:本文在结构方程模型(SEM)中使用了一种新的潜在分类方法(LCA),以获取有关建筑环境特征对出行行为影响的最新见解。据我们所知,这是该领域的第一个LCA-SEM应用。我们在分析中使用了英国国家旅行调查数据中建筑环境的所有主要描述符,同时说明了描述符之间的高度相关性-这是通过为建筑环境特征定义类别而不是连续的潜在变量来实现的。这种定义英国建筑环境实物类型的新颖方法,能够使分析结果更有说服力,以制定新的,积极的土地利用规划和城市设计措施,并监控正在进行的规划和交通干预措施的结果。由于旅行调查数据是在全球许多城市中定期收集的,因此我们的方法有助于加强对这些规划和运输政策对旅行影响的分析和监测,从而指导这些城市未来的旅行调查设计选择。

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