论文标题
提取城市运输网络的多模式指纹
Extracting the multimodal fingerprint of urban transportation networks
论文作者
论文摘要
城市流动性越来越多地依赖于多模式，结合了自行车路径，街道和铁路网络的使用。这些不同的运输方式通过多重网络很好地描述了。在这里，我们提出了重叠的人口普查方法，该方法从城市的多重运输网络中提取多模式轮廓。我们将此方法应用于15个城市，识别具有相似概况的城市群，并将此特征与每个集群的可持续发展级别联系起来。我们的工作强调了评估城市的所有运输系统的重要性，以充分识别并比较其可持续性，多模式流动性的潜力。
Urban mobility increasingly relies on multimodality, combining the use of bicycle paths, streets, and rail networks. These different modes of transportation are well described by multiplex networks. Here we propose the overlap census method which extracts a multimodal profile from a city's multiplex transportation network. We apply this method to 15 cities, identify clusters of cities with similar profiles, and link this feature to the level of sustainable mobility of each cluster. Our work highlights the importance of evaluating all the transportation systems of a city together to adequately identify and compare its potential for sustainable, multimodal mobility.
