基于热力图大数据的城市景区人群聚集研究——以南昌市主城区为例

Study on Crowd Aggregation in City Scenic Spots Based on Heat Map Big Data--Taking the Central Area of Nanchang City as an Example

本文以南昌市主城区的部分景区为研究对象,采集一周内不同时间段的百度热力图大数据作为基础研究数据,对景区的人群聚集情况进行研究,并利用ArcGIS软件进行栅格运算获得热力均值数据,基于周热力均值数据分析了景区人群聚集情况。研究表明,工作日和双休日两类时间段的景区人群集聚变动情况整体上趋于一致。

This paper takes some scenic spots in the main urban area of Nanchang as the research object,collects Baidu thermal map big data of different time periods in a week as the basic research data,studies the crowd aggregation in scenic spots,and obtains the thermal mean data by grid operation using ArcGIS software,and analyzes the crowd aggregation situation of scenic spots based on the weekly thermal average data.The results show that the changes of crowd concentration in scenic spots tend to be the same on weekdays and weekends.