一种基于车辆轨迹数据的城市建成区边界识别方法

城市建成区边界是城市土地资源管理和城市扩张管理的重要依据。本文提出了基于出租车轨迹数据,利用多分辨率下规则格网对比分析法及Densi-Graph阈值确定法,来自动提取城市建成区边界的方法。试验采用北京市2008年出租车GPS轨迹点数据,依据该方法模型计算提取城市建成区并进行结果准确度评价,将提取结果与北京市2008年土地覆盖空间分布图进行比对,所提取建成区边界范围与城镇、建设用地区域范围基本相符;将提取结果与中国城市统计年鉴数据进行比对,该年鉴中给定2008年北京市建成区总面积为1 310.94 km^2,本文方法提取建成区总面积约为1 077.33 km^2,提取准确度约为82.18%,表明本文方法可以获得准确的建成区范围。

A method of urban built-up area boundary recognition based on vehicle track data

The boundary of urban built-up area is an important basis of urban land resource management and urban expansion management. In this paper, a method based on taxi track data is proposed, using multi-resolution regular grid contrast analysis and Densi-Graph threshold determination method to automatically extract urban built district boundaries. In this study, taxi track point data of Beijing city in 2008 is used to calculate and extract the boundary of urban built-up area according to this method. And the extraction results are consistent with the distribution map of Beijing's land cover in 2008. Besides, given in China's Urban Statistical Yearbook, the built-up area of Beijing municipality in 2008 is 1 310.94 km². And the area of the built-up area extracted by this method is about 1 077.33 km², so the extraction accuracy is about 82.18%, indicating that this method can get the accurate range of built-up area.