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首页> 外文期刊>Transportation Research >Understanding neighbourhood design impact on travel behaviour: An application of structural equations model to a British metropolitan data
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Understanding neighbourhood design impact on travel behaviour: An application of structural equations model to a British metropolitan data

机译：了解邻里设计对旅行行为的影响：结构方程模型在英国大都会数据中的应用

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The objective of this study is to explore whether changes in neighbourhood characteristics bring about changes in travel choice. Residential self-selection is a concern in the connections between land-use and travel behaviour. The recent literature suggests that a longitudinal structural equations modelling (SEM) approach can be a powerful tool to assess the importance of neighbourhood characteristics on travel behaviour as opposed to the attitude-induced residential self-selection. However, the evidence to date is limited to particular geographical areas and evidence from one country might not be transferrable to another because of differences in land-use patterns and land-use policies. The paper is to address the gap by extending the evidence using British data. The case study is based on the metropolitan area of Tyne and Wear, North East of England, UK. A SEM is applied to 219 respondents who reported residential relocation. The results identify that neighbourhood characteristics do influence travel behaviour after controlling for self-selection. For instance, the more people are exposed to public transport access, the more likely they drive less. Neighbourhood characteristics also impact through their influence on car ownership. A social environment with vitality also reduces the amount of private car travel. These findings suggest that land-use policies at neighbourhood level can play an important role in reducing driving.
机译：这项研究的目的是探讨邻里特征的变化是否会导致出行选择的变化。住宅的自我选择是土地使用与旅行行为之间联系的关注点。最近的文献表明，纵向结构方程建模（SEM）方法可能是一种强大的工具，可用来评估邻里特性对出行行为的重要性，而不是由态度引起的住宅自我选择。但是，迄今为止的证据仅限于特定的地理区域，由于土地利用方式和土地利用政策的差异，一个国家的证据可能无法转移到另一个国家。本文旨在通过使用英国数据扩展证据来弥补这一差距。该案例研究基于英国英格兰东北部的泰恩威尔郡大都会地区。 SEM适用于219个报告了住宅搬迁的受访者。结果表明，邻域特征确实会影响自我选择控制后的出行行为。例如，越来越多的人接触公共交通，他们越有可能开车更少。邻里特征也通过影响汽车拥有量而受到影响。具有活力的社会环境也减少了私家车旅行的次数。这些发现表明，社区一级的土地使用政策可以在减少驾驶方面发挥重要作用。

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