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The impact of relocations on distances traveled for commuting and grocery shopping: structural equation models of panel data
Transportation ( IF 3.5 ) Pub Date : 2024-06-03 , DOI: 10.1007/s11116-024-10498-1
Katja Schimohr , Eva Heinen , Joachim Scheiner

Residential relocations open a window of opportunity to decrease distances to work and other important daily destinations, such as grocery stores. This study investigates changes in trip distances after residential relocation, using data from a panel survey of 435 movers in Germany. We estimate two structural equation models for changes in commute and shopping trip distance. These models additionally allow us to draw insights into the relationships between spatial structure, travel attitudes, satisfaction with the accessibility of the workplace or shopping facilities, and housing preferences in residential location search. We find that there is a weak indication of an association between residential location choice and changes in trip distances. However, the analysis suggests that especially long trip distances are shortened through relocation. While residents in urban areas travel on average shorter distances, both for working and grocery shopping, only the shopping distance decreases after a move to a more urban location. A preference for urban structures leads to an increase in urbanity after relocation only in the model for grocery shopping trips. Even though long trips before relocation lead to dissatisfaction with the commute, we do not observe a direct effect of dissatisfaction with trips or reasons for moving on trip distances after a move.



中文翻译:


搬迁对通勤和杂货购物距离的影响:面板数据的结构方程模型



住宅搬迁为缩短工作场所和杂货店等其他重要日常目的地的距离打开了一扇机会之窗。本研究利用对德国 435 名搬家者进行的小组调查数据,调查了住宅搬迁后出行距离的变化。我们估计了通勤和购物行程距离变化的两个结构方程模型。这些模型还使我们能够深入了解空间结构、旅行态度、对工作场所或购物设施可达性的满意度以及住宅位置搜索中的住房偏好之间的关系。我们发现,居住地点选择与出行距离变化之间的关联性微弱。然而,分析表明,特别是长距离的出行距离可以通过搬迁而缩短。虽然城市地区的居民工作和购物的平均出行距离较短,但搬到城市地区后,只有购物距离会缩短。仅在杂货购物旅行的模型中,对城市结构的偏好导致搬迁后都市性的增加。尽管搬家前的长途旅行会导致对通勤的不满,但我们没有观察到对旅行的不满或搬家的原因对搬家后的旅行距离产生直接影响。

更新日期:2024-06-03
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