| 基于位置轨迹挖掘的城市居民职住地识别方法研究 |
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| 引用本文： | 王艳涛,魏海平,何源浩,周烨.基于位置轨迹挖掘的城市居民职住地识别方法研究[J].测绘与空间地理信息,2017(2):113-116. |
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| 作者姓名： | 王艳涛 魏海平 何源浩 周烨 |
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| 作者单位： | 信息工程大学地理空间信息学院,河南郑州,450001 |
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| 摘 要： | 城市居民居住与就业的空间组织在城市空间结构的研究中非常重要,居民职住地的识别则是城市居民职住空间组织研究的首要任务。本文从位置轨迹入手,在基于时间聚类提取出停留点序列的基础上,重点对停留点序列的时间特征进行分析,对其做进一步的归纳,筛选出职住地出候选类,最终完成居住地、工作地的识别。实验结果表明,该方法能够有效地从位置轨迹数据中识别出城市居民的居住地和工作地。
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| 关 键 词： | 轨迹挖掘 基于时间聚类 职住地识别 |
Research on Technologies of Urban Home-work Locations Identification Based on Position Track Mining |
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| WANG Yan-tao,WEI Hai-ping,HE Yuan-hao,ZHOU Ye.Research on Technologies of Urban Home-work Locations Identification Based on Position Track Mining[J].Geomatics & Spatial Information Technology,2017(2):113-116. |
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| Authors: | WANG Yan-tao WEI Hai-ping HE Yuan-hao ZHOU Ye |
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| Abstract: | Spatial organization of urban living and working is very important in the study of urban spatial structure,and the home-work locations identification is one of the primary task in the research of urban space organization.On the basis of time-based cluste ring to extract a sequence of stay points,this paper starts with location trace,then stays focused on the point of a series of time to analyze the characteristics,generalizes in its further screened grade class of the candidate,and completes the recognition of residence and workplace in the end.The results show that this method can effectively identify urban living and workingposition from track data. |
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| Keywords: | track mining time-based clustering home-work locations identification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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