We perform a systematic analysis on the large-scale taxi trip data to uncover urban mobility and city dynamics in multimodal urban transportation environments. As a case study, we use the taxi origin-destination trip data and some additional data sources in Washington DC area. We first study basic characteristics of taxi trips, then focus on five important aspects. Three of them concern urban mobility, which are respectively mobility and cost including effect of traffic congestion, trip safety, and multimodal connectivity; the other two pertain to city dynamics, which are respectively transportation resilience and the relation between trip patterns and land use. For these aspects, we use appropriate statistical methods and geographic techniques to mine patterns and characteristics from taxi trip data for better understanding qualitative and quantitative impacts of the inputs from key stakeholders on available measures of effectiveness on urban mobility and city dynamics, where key stakeholders include road users, system operators, and city. Finally, we briefly summarize our findings and discuss some critical roles and implications of the uncovered patterns and characteristics from the relation between taxi system and key stakeholders. The results can support road users by providing evidence-based information of trip cost, mobility, safety, multimodal connectivity and transportation resilience, can assist taxi drivers and operators to deliver transportation services in a higher quality of mobility, safety and operational efficiency, and can also help city planners and policy makers to transform multimodal transportation and to manage urban resources in a more effective and better way.
翻译:我们对大型出租车旅行数据进行系统分析,以发现城市流动和城市多式城市运输环境中的城市动态。作为案例研究,我们使用出租车原产地目的地旅行数据和华盛顿特区的一些额外数据来源。我们首先研究出租车旅行的基本特点,然后侧重于五个重要方面。其中三个方面涉及城市流动,分别是流动性和成本,包括交通堵塞的影响、旅行安全以及多式联运连接;另外两个方面涉及城市动态,分别是运输复原力以及旅行模式和土地使用之间的关系。在这些方面,我们利用适当的统计方法和地理技术,从出租车旅行数据中了解地雷模式和特征,以便更好地了解主要利益攸关方对城市流动和城市动态有效性现有措施的投入在质量和数量上的影响,主要利益攸关方包括道路使用者、系统操作者和城市。最后,我们简要总结我们的调查结果,并讨论从出租车系统与主要利益攸关方之间的关系中发现的模式和特点的一些关键作用和影响。结果可以通过提供基于证据的出行成本、流动性、安全性、多式联运连接和交通复原力方面的信息,帮助出租车司机和运营商提高城市运输效率,从而提高城市运输效率,提高城市运输效率。