知识与财富的链接
针对居民出行难以量化分析的问题,提出了一种顾及出租车轨迹和POI的GIS时空分析方法。首先,基于深圳市出租车轨迹提取居民出行OD;然后,结合POI数据,采用数理统计、核密度估计、缓冲区分析对居民出行的时空分布、不同出行目的的出行特征等进行量化分析。实验表明:深圳市居民出行具有明显的早、中、晚出行高峰;在空间上,居民出行呈现“局部密集、圈层递减”特征;居民购物和办公行为在出行时间、距离方面相似性较高。
Aiming at the problem that it is difficult to quantify the travel of residents,a GIS spatio-temporal analysis method that takes into account the taxi track and POI is proposed.Firstly,OD data was extracted based on the taxi track in Shenzhen.Then,combined with POI data,mathematical statistics,kernel density estimation and buffer analysis were used to conduct quantitative analysis on the spatial and temporal distribution of residents’travel and travel characteristics of different travel purposes.The experiment shows that the travel of Shenzhen residents has obvious peak in the morning,middle and evening.In terms of space,residents'travel presents the characteristics of“local density and circle decline”.Residents'shopping and office behaviors are highly similar in travel time and distance.
