论文标题
基于手机数据的城市传感：方法，应用和挑战
Urban Sensing based on Mobile Phone Data: Approaches, Applications and Challenges
论文作者
论文摘要
随着功能强大的智能手机和创新的移动应用程序的扩散，数据量爆炸性增长。必须准确，广泛监视和分析这些数据的能力。移动数据分析中非常关注与人类及其行为有关。由于这些大量数据背后的潜在价值，因此有不同的方法来理解相应的模式。为此，监视人们的互动，无论是在固定位置计算它们还是通过产生原点用途矩阵来跟踪它们至关重要。前者可用于确定道路和城市景点等资产的利用。在计划运输基础设施时，后者很有价值。这种见解使政府可以预测采用新道路，新的公共交通路线，现有基础设施的修改以及对拥塞区的检测，从而实现了更有效的设计和改进。智能手机数据探索可以帮助各个领域的研究，例如城市规划，运输，医疗保健和业务营销。它还可以帮助组织在各个层面上进行决策，政策实施，监视和评估。这项工作旨在审查已实施的方法和技术，以发现手机数据中的知识。我们通过讨论他们的利弊来对这些现有方法进行分类，并介绍相关工作的分类法。
Data volume grows explosively with the proliferation of powerful smartphones and innovative mobile applications. The ability to accurately and extensively monitor and analyze these data is necessary. Much concern in mobile data analysis is related to human beings and their behaviours. Due to the potential value that lies behind these massive data, there have been different proposed approaches for understanding corresponding patterns. To that end, monitoring people's interactions, whether counting them at fixed locations or tracking them by generating origin-destination matrices is crucial. The former can be used to determine the utilization of assets like roads and city attractions. The latter is valuable when planning transport infrastructure. Such insights allow a government to predict the adoption of new roads, new public transport routes, modification of existing infrastructure, and detection of congestion zones, resulting in more efficient designs and improvement. Smartphone data exploration can help research in various fields, e.g., urban planning, transportation, health care, and business marketing. It can also help organizations in decision making, policy implementation, monitoring and evaluation at all levels. This work aims to review the methods and techniques that have been implemented to discover knowledge from mobile phone data. We classify these existing methods and present a taxonomy of the related work by discussing their pros and cons.
