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首页> 外文期刊>Modern Applied Science >Spatial-temporal Dynamics of Population Aggregation during the Spring Festival based on Baidu Heat Map in Central Area of Chengdu City, China
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Spatial-temporal Dynamics of Population Aggregation during the Spring Festival based on Baidu Heat Map in Central Area of Chengdu City, China

机译：中国成都市中心区百度热图春节人口聚集的空间动力学

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摘要

The application of location-aware devices and location-based services enables big data to provide a convenient and efficient way to study the dynamics of urban population distribution. Based on the Baidu heat map data, the spatial-temporal population aggregation in the main urban areas of Chengdu City was explored in the context of the Spring Festival. The results suggested that population aggregation showed regular fluctuation within a day, consistent with the commuting activities. Also, population mobility showed difference before, during and after the festival; population density during the holiday was significantly lower than that on the other two working days, meanwhile the heat value on the working day before the festival was slightly higher than that after the festival. The conclusion showed that the Spring Festival affected the population distribution density. Chinese government's emergent measures taken to suppress the nationwide spread of COVID_19 at early 2020 also had great influence on the low population aggregation during and after the Spring Festival, indicating the effectiveness of emergency control of human interactions. Better understanding of Spatial-temporal dynamics of population aggregation during the Spring Festival is of great value for optimizing the city expansion and structure planning.
机译：位置感知设备和基于位置的服务的应用使大数据能够提供一种方便有效地研究城市人口分布的动态。基于百度热地图数据，在春节背景下探讨了成都市主要城区的空间颞人口聚集。结果表明，人口汇总在一天内显示出定期波动，与通勤活动一致。此外，人口流动性在节日期间和之后出现差异;假期期间人口密度明显低于另一个工作日的人口密度，同时节日前的工作日的热值略高于节日之后。结论表明，春节影响人口分布密度。 2020年初，中国政府采取的措施抑制Covid_19的全国范围内的措施也对春节和之后的低人口聚集产生了很大影响，表明人类互动应急控制的有效性。在春节期间更好地了解人口聚集的空间动态是优化城市扩张和结构规划的巨大价值。

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