基于大数据识别和分析广州市老城区的城市活力特征

Identifying and Analyzing Urban Vitality Characteristics of Old Urban Areas in Guangzhou City Based on Big Data

伴随大数据的出现和应用,如何利用大数据更精准识别城市活力的时空特征,对于城市的更新和发展具有重要意义。研究以广州市老城区为例,爬取了2个24小时的百度热力图数据,结合ArcGIS软件分析了老城区的城市活力的时空特征,结果表明:(1)用于研究城市活力的分析单元是很重要的;(2)在时间上,无论是工作日还是休息日城市活力在一天中随时间变化具有相似的变化规律,城市活力的变化规律和人类日常活动的时间相一致;(3)在空间上,城市活力在局部空间上存在差异,休息日高活力所占的单元空间要比工作日的少,但高活力的分布要比工作日的紧凑。最后,针对城市活力时空特征进一步提出对应的活力提升策略,为广州市存量空间优化提供依据。

With the emergence and application of big data,how to use big data to more accurately identify the spatiotemporal characteristics of urban vitality is of great significance for urban renewal and development.Taking the old urban area of Guangzhou as an example,the study crawled two 24-hour Baidu thermal map data and analyzed the spatiotemporal characteristics of urban vitality in the old urban area using ArcGIS software.The results showed that:①the analysis unit used for studying urban vitality is very important;②In terms of time,whether it is workdays or rest days,urban vitality has a similar pattern of change over time throughout the day,and the pattern of urban vitality is consistent with the time of human daily activities;③In terms of space,there are differences in urban vitality in local spaces.The unit space occupied by high vitality on rest days is less than that on weekdays,but the distribution of high vitality is more compact than that on weekdays.Finally,corresponding strategies for enhancing urban vitality are further proposed based on the spatiotemporal characteristics of urban vitality,providing a basis for optimizing the existing space in Guangzhou.