基于卡口数据的机动车出行与空间关联分析

Analysis of Motor Vehicle Travel and Spatial Correlation Based on Checkpoint Data

摘要:

交通出行与城市空间关系高度耦合，空间布局、用地开发决定了出行需求和分布，交通设施尤其骨干交通成为了城市空间的骨架，空间与交通的紧密联系为两者的关联分析提供了可行基础。卡口数据具有追踪机动车出行全路径、全时段的优势，可用于精准分析机动车出行特征。为了快速分析空间开发可能带来的机动车出行需求，以C市主城区范围内的卡口数据为基础，辅以道路网数据、手机信令数据、用地开发建筑体量数据等多源数据，通过融合关联分析，探索了机动车出行与城市空间、用地开发的相关性特征，并定量标定出机动车出行与人口岗位、用地开发体量的关系函数，为提升城市用地规划和交通设施布局的互适性提供了数据支撑。

Abstract:

The relationship between the traffic travel and urban space is highly coupled. The spatial layout and the land development determine the travel demand and distribution. The transportation facilities, especially the backbone transportation, have become the framework of urban space. The close connection between space and traffic provides a feasible basis for the correlation analysis of the both. The checkpoint data has the advantage of tracking the entire path and all time periods of motor vehicle travel, and can be used to accurately analyze the characteristics of motor vehicle travel. In order to quickly analyze the demands of motor vehicle travel possibly caused by the spatial development, taking the checkpoint data within the main urban area of C city as the basis, supplemented by the multi-source data such as road network data, mobile signaling data and land development building volume data, and through the fusion correlation analysis, the correlation characteristics of motor vehicle travel, urban space and land development are explored, and the relationship function among the motor vehicle travel, population positions and land development volume quantitatively calibrated, which provides the data support for upgrading the mutual adaptability of urban land planning and traffic facility layout.