论文标题
数据驱动的微型运动网络计划需求和安全性
Data-driven micromobility network planning for demand and safety
论文作者
论文摘要
开发安全的基础设施来进行微型摩托车或电子诉讼机，是通向气候友好，可持续和宜居城市的有效途径。但是，城市微型运动基础架构通常是计划的临时，充其量是通过调查数据告知的。在这里，我们研究微型旅行和崩溃的数据如何塑造和自动化此类网络计划过程。我们介绍了一个参数，该参数调整了基于需求的开发和基于安全的开发之间的重点，并系统地调查了都灵之城的这种权衡。我们发现，完全关注需求或安全性会在短期内产生不同的网络扩展，并在两者之间进行最佳的权衡。从长远来看，我们的框架可以改善整体网络质量，而不是短期关注点。因此，我们展示了数据驱动的流程如何为城市规划人员提供自动帮助，以提供可变的短期情景计划，同时保持可持续的，跨越城市的微型企业网络的长期目标。
Developing safe infrastructure for micromobility like bicycles or e-scooters is an efficient pathway towards climate-friendly, sustainable, and livable cities. However, urban micromobility infrastructure is typically planned ad-hoc and at best informed by survey data. Here we study how data of micromobility trips and crashes can shape and automatize such network planning processes. We introduce a parameter that tunes the focus between demand-based and safety-based development, and investigate systematically this tradeoff for the city of Turin. We find that a full focus on demand or safety generates different network extensions in the short term, with an optimal tradeoff in-between. In the long term our framework improves overall network quality independent of short-term focus. Thus, we show how a data-driven process can provide urban planners with automated assistance for variable short-term scenario planning while maintaining the long-term goal of a sustainable, city-spanning micromobility network.
