储金龙,孙梦喆.基于网络数据的居民出行时空间特征研究——以合肥市中心城区为例[J].安徽建筑大学学报,2017,25(2):60-65 |
基于网络数据的居民出行时空间特征研究——以合肥市中心城区为例 |
Research on the spatial-temporal characteristics of urban residents’ behavior based on network data----With Hefei as an example |
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DOI:10.11921/j.issn.2095-8382.20170213 |
中文关键词: 大数据 基于位置服务 时空间行为 合肥 |
英文关键词: big data location based service spatial-temporal behavior urban Planning? Hefei |
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中文摘要: |
随着网络数据逐渐走向开源化,各大网站中基于位置服务(LBS)数据开始被运用到各类城市研究之中。基于新浪微博开放平台应用程序接口所提供的动态大数据,尝试利用数据的实时性开展空间使用强度的居民时空间行为特征研究;以合肥市中心城区为例,对居民的活动时间、空间聚集位置等特征在连续一周中随时间变化情况进行了考察与分析。结果表明,传统作息仍然支配着网络签到活动,不论是时间还是空间上居民活动在工作日、休息日与节假日都存在一定相似性与差异性;空间维度上工作日的主要活动热点集中于城市中心,而非工作日的次热点有向城市周边偏移的倾向。最后结合居民出行习惯对数据进行筛选与重组,尝试描绘合肥市中心城区内人群进行公共活动的聚集情况,为研究城市人口分布情况提供了新的视角。 |
英文摘要: |
With the gradual development of network data, the location-based services (LBS) data in the major sites began to be invested in various types of urban research. On the basis of the dynamic big data provided in the application interface of Sina microblogging open platform, the time of data-base being established the spatial behavior of residents, which based on spatial use intensity(译文无主语). Taking the urban area of Hefei as an example, this paper analyzed the characteristics of the residents' activities and the location of the space within one week according to the change of time. It’s found that the traditional work and rest still dominate the network check-in activities,. Both in time and space, the activities of residents in the working day, rest days and holidays bear some similarities and differences. In the spatial dimension, the main hotspots of the working day are concentrated in the city center, and the second hotspots of non-working days tend to shift to the periphery of the city. Finally, combined with the residents travel habits of the data screening and restructuring, trying to describe the city of Hefei city crowd for public activities of the gathering situation for the study of urban population distribution provides a new perspective. (译文无主语) |
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