In rural regions, public transportation is often characterized by low accessibility as well as long waiting and travel times. In order to improve rural transportation systems, public decision-makers intend to implement alternative on-demand mobility modes. Herein, new intermodal travel itineraries with transfers at multimodal mobility hubs may enable faster public connections and thereby strengthen public transportation. Against this background, we present a decision support tool for locating multimodal mobility hubs to improve intermodal accessibility. As objectives, we aim at maximizing accessibility to workplaces and to places of private need. Our model decides on locations of multimodal mobility hubs and on the available on-demand mobility modes offered in addition to existing public transportation. We develop our model in an agile process together with rural decision-makers in the district of Heinsberg, Germany, and apply it in a real-world case study. As input for our model, we account for the existing public transportation system, identify points-of-interest, and estimate commuting volumes to workplaces based on official commuting data. Results promise a high potential to improve accessibility in rural areas. However, most of the improvement stems from unimodal car sharing trips.

在农村地区，公共交通的特点通常是可达性低、等待和旅行时间长。为了改善农村交通系统，公共决策者打算实施替代的按需移动模式。在此，在多式联运枢纽换乘的新多式联运旅行路线可以实现更快的公共连接，从而加强公共交通。在此背景下，我们提出了一种决策支持工具，用于定位多式联运交通枢纽以提高多式联运可达性。作为目标，我们旨在最大限度地提高工作场所和私人需求场所的可达性。我们的模型决定了多式联运枢纽的位置以及除现有公共交通之外提供的可用按需移动模式。我们与德国海因斯堡地区的农村决策者一起在敏捷过程中开发了我们的模型，并将其应用于现实世界的案例研究。作为我们模型的输入，我们考虑了现有的公共交通系统，确定了兴趣点，并根据官方通勤数据估计到工作场所的通勤量。结果承诺在改善农村地区的可及性方面具有很大潜力。然而，大部分改进源于单模式汽车共享旅行。结果承诺在改善农村地区的可及性方面具有很大潜力。然而，大部分改进源于单模式汽车共享旅行。结果承诺在改善农村地区的可及性方面具有很大潜力。然而，大部分改进源于单模式汽车共享旅行。