多源数据解析城市交通特征与规律

随着信息技术的发展,城市交通领域不断涌现新的数据来源。有效利用这些数据,有助于深刻理解城市功能和交通特征与规律。回顾城市交通分析与建模中常用的多源数据,并着重介绍信息化数据的典型应用,包括手机信令数据、公共汽车信息系统数据、车辆GPS数据、交通检测数据和售票系统数据。基于传统城市交通分析框架下的数据需求,探讨多源数据间的关系与联合应用。提出信息化数据完全取代传统数据既不现实,也不必要;信息化数据的价值发挥在于未来交通分析与建模技术的创新。最后对多源数据的发展与应用方向进行展望。

Analyzing Urban Transportation Characteristics with Multi-Dimensional Data Sources

As the information technology advancing, new data sources are constantly emerging in the ur-ban transportation. Effectively utilizing these data helps us to better understand urban functionality and transportation characteristics. By reviewing the commonly used multi-dimensional data in urban travel analysis and modeling, this paper elaborates the typical applications of the data, including data from mo-bile phone, transit system, vehicle GPS, traffic detection and sale of transit fare system. Based on the data demand in the traditional urban transportation analysis framework, the paper discusses the interconnection among the multi-dimensional data sources and the combined applications. The paper emphasizes that re-placing the traditional data with new information data is neither practical nor necessary. The value of the in-formation data depends on the innovation of the travel analysis and modeling technology in the future. Fi-nally, the paper outlines the future development and application of multi-dimensional data.