Abstract The node-place model is an analytical framework that was devised to identify spatial development opportunities for railway stations and their surroundings at the regional scale. Today, the model is predominantly invoked and applied in the context of ‘transit-oriented development’ planning debates. As a corollary, these model applications share the pursuit of supporting a transition towards increased rail ridership (and walking and cycling), and therefore assumingly a transition to more sustainable travel behavior. Surprisingly, analyses of the importance of node and place interventions in explaining rail ridership remain thin on the ground. Against this backdrop, this paper aims to integrate the node-place model approach with current insights that derive from the trip end modeling literature. To this end, we apply a series of regression analyses in order to appraise the most important explanatory factors that impact rail ridership in Flanders, Belgium, today. This appraisal is based on both geographical and temporal data segmentations, in order to test for different types of railway stations and for different periods of the day. Additionally, we explore spatial nonstationarity by calibrating geographically weighted regression models, and this for different time windows. The models developed should allow policy and planning professionals to investigate the possible demand impacts of changes to existing stations and the walkable area surrounding them.

中文翻译：

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整合节点位置和行程终点模型以探索比利时佛兰德斯铁路乘客的驱动因素

摘要 节点-地点模型是一个分析框架，旨在识别区域尺度上火车站及其周边地区的空间发展机会。今天，该模型主要在“以公交为导向的发展”规划辩论的背景下被调用和应用。作为推论，这些模型应用程序都追求支持向增加的铁路乘客量（以及步行和骑自行车）过渡，因此假设过渡到更可持续的旅行行为。令人惊讶的是，对节点和地点干预在解释铁路乘客量方面的重要性的分析仍然很薄弱。在此背景下，本文旨在将节点位置模型方法与源自行程终点建模文献的当前见解相结合。为此，我们应用了一系列回归分析来评估影响比利时法兰德斯铁路客流量的最重要的解释因素。该评估基于地理和时间数据分段，以测试不同类型的火车站和一天中的不同时段。此外，我们通过校准地理加权回归模型来探索空间非平稳性，这适用于不同的时间窗口。开发的模型应允许政策和规划专业人员调查现有车站及其周围可步行区域的变化对需求的可能影响。为了测试不同类型的火车站和一天中的不同时段。此外，我们通过校准地理加权回归模型来探索空间非平稳性，这适用于不同的时间窗口。开发的模型应允许政策和规划专业人员调查现有车站及其周围可步行区域的变化对需求的可能影响。为了测试不同类型的火车站和一天中的不同时段。此外，我们通过校准地理加权回归模型来探索空间非平稳性，这适用于不同的时间窗口。开发的模型应允许政策和规划专业人员调查现有车站及其周围可步行区域的变化对需求的可能影响。