O-D space-time distribution prediction method based on variable-scale geographic weighted regression model

• Main Authors: ZHONG SHAOPENG, ZHOU ZHIJIAN, GONG YUNHAI, WANG ZHONG, ZOU YANQUAN, CHEN BO
• Format: Patent
• Language: Chinese; English
• Published: 06.09.2019
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to an O-D space-time distribution prediction method based on a variable-scale geographic weighted regression model, belonging to the technical field of urban traffic planning andmanagement as well as traffic systems. A built environment is used as a explanatory variable of O-D spatial and temporal distribution, and the interpretation of the built environment to the spatial and temporal distribution of O-D is proved by a case. A method for quantifying the spatial heterogeneity of O-D spatiotemporal distribution in urban built environment is presented. The effect and benefit of the present invention is to explain the spatial heterogeneity effect of the built environment on the temporal and spatial distribution of O-D, and a set of quantitative analysis methods suitable for traffic cells of different scales is provided, which can improve the accuracy of urban O-D spatial and temporal distribution prediction results. 本发明涉及一种基于变尺度地理加权回归模型的O-D时空分布预测方法，属于城市交通规划及管理和智能交通系统的技术领域。加入建成环境作为O-D时空分布的解释