Moped-style scooters are one of the most popular systems of micro-mobility. They are undoubtedly good for the city, as they promote forms of environmentally-friendly mobility, in which flexibility helps prevent traffic build-up in the urban centers where they operate. However, their increasing numbers are also generating conflicts as a result of the bad behavior of users, their unwarranted use in public spaces, and above all their parking. This paper proposes a methodology for finding parking spaces for shared motorcycle services using Geographic information system (GIS) location-allocation models and Global Positioning System (GPS) data. We used the center of Madrid and data from the company Muving (one of the city’s main operators) for our case study. As well as finding the location of parking spaces for motorbikes, our analysis examines how the varying distribution of demand over the course of the day affects the demand allocated to parking spaces. The results demonstrate how reserving a relatively small number of parking spaces for scooters makes it possible to capture over 70% of journeys in the catchment area. The daily variations in the distribution of demand slightly reduce the efficiency of the network of parking spaces in the morning and increase it at night, when demand is strongly focused on the most central areas.

中文翻译：

---

使用GIS位置分配模型和GPS数据的轻便摩托车共享服务的停车位

轻便摩托车式踏板车是最受欢迎的微型机动系统之一。毫无疑问，它们对城市有利，因为它们促进了环境友好型出行方式的发展，其中灵活性有助于防止其所在城市中心地区的交通拥挤。但是，由于用户的不良行为，他们在公共场所的不当使用以及最重要的是停车，他们数量的增加也引发了冲突。本文提出了一种使用地理信息系统（GIS）位置分配模型和全球定位系统（GPS）数据为共享摩托车服务寻找停车位的方法。我们使用马德里市中心和Muving公司（该市的主要运营商之一）提供的数据进行案例研究。除了查找摩托车停车位的位置外，我们的分析研究了一天中需求的变化分布如何影响分配给停车位的需求。结果表明，如何为踏板车预留相对较少的停车位，才能捕获集水区超过70％的行程。需求分布的每日变化会在早上将停车位网络的效率稍微降低，而在晚上将需求集中在最中心的区域时，夜间停车位网络的效率会有所提高。