利用签到数据的空间互动模型

Spatial Interaction Modeling Using Check-in Data

理解空间互动(即人们在城市不同区域间的流动)可以更加智能地辅助交通规划、商业选址等决策。空间互动模型利用开放的社交网络用户签到数据,计算各地区联系指数、内部用户流动指数、外部用户流动指数、出行质量指数等四个维度。聚合了多个社交网络的签到数据,进行了兴趣点匹配和起止点计算,并可视化了一个具体城市的模型实例。结果表明该空间互动模型能够反映城市的空间动态结构,为各行业用户提供直观的咨询信息。

The spatial interaction is the human flow through different areas,which can make a more intelligent strategic decision of traffic planning,commercial location and many other industries.The paper aims at proposing a strategic analysis describing spatial interaction,and making an instantiation by check-in datum from some open social networks.There are four dimensions chosen to describe model：regional contact strength,natural flow index of internal users,entry index of external users and trip quality index,which can be estimated by popular check-in datum and have generality.The model firstly put many social networkscheck-in datum together,then matches them and calculates the distance from beginning to the end.After making a instantiation,the model provides data visualization solutions.The result shows that the strategic analysis has the ability of reflecting the citiesspatial dynamic structure,providies advisory information to users of lots of types of industries.