An empirical model for trip distribution of commuters in the Netherlands: Transferability in time and space reconsidered.
An empirical model for trip distribution of commuters in the Netherlands: Transferability in time and space reconsidered.
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DOI：
10.1016/j.jtrangeo.2012.09.005
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发表时间：
2013
影响因子：
6.1
通讯作者：
T. Thomas;S. Tutert
中科院分区：
文献类型：
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作者：
T. Thomas;S. Tutert
在本文中，我们评估了荷兰通勤出行的分布，以评估其在空间和时间上的可转移性。我们使用1995年和2004-2008年的荷兰旅行调查，从空间相互作用模型中估计经验分布作为旅行时间和距离的函数。我们发现，分布函数在时间和空间上是不可转移的。相反，随着时间的推移，人们越来越倾向于花更长的时间去上班。因此，平均通勤时间增加了。相反，土地利用的变化似乎有一个小得多的影响通勤距离在此期间。城市规模越大，通勤时间越长的倾向也越大。然而，这并没有导致平均通勤距离随着城市规模的增加而增加，因为它被大城市的居住和工作之间的距离缩小所抵消。结果是相当相关的空间相互作用建模。他们指出，一个稳定的分布函数的概念是不足以准确地描述聚集的旅行行为。
In this paper, we evaluate the distribution of commute trips in The Netherlands, to assess its transferability in space and time. We used Dutch Travel Surveys from 1995 and 2004–2008 to estimate the empirical distribution from a spatial interaction model as function of travel time and distance. We find that the distribution function is not transferable in time and space. Instead, the propensity to travel longer to work has grown over time. As a result, the average commute length has increased. Contrary, land use changes appeared to have a much smaller effect on commuting distances in this period. The propensity to make longer commute trips also increases with city-size. However, this does not lead to an increase in average commuting distance with city-size, because it is offset by smaller distances between residences and jobs in large cities. The results are quite relevant for spatial interaction modeling. They indicate that the concept of one stable distribution function is insufficient to accurately describe aggregated travel behavior.