测绘地理信息

在振兴夜间经济、扩大内需，建设夜间文旅消费集聚区的背景下，探究夜间城市活力时空演变特征及其影响因素具有十分重要的意义。本文基于百度热力图和大众点评POI(point of interest)数据，对2019—2023年武汉市主城区夜间城市活力进行测度和分析，并利用探索性回归模型构建影响因素指标体系，通过时空地理加权回归模型探究显著影响因素与作用机制，最终结合16个省级以上夜间文旅消费集聚区进行类型划分。研究表明：(1)2019—2023年武汉市主城区夜间城市活力呈先升高后降低再回升的趋势，整体呈现政策驱动增长—再次冲击调整—部分缓慢复苏的阶段性特征；(2)居住用地面积占比、公共管理与公共服务用地面积占比、用地混合度、容积率对夜间城市活力的影响最为显著；(3)16个省级以上夜间文旅消费集聚区可以划分高韧性核心消费区、高波动综合消费区、较稳定次级消费区、以功能导向消费区4类。

Against the backdrop of revitalizing the nighttime economy, expanding domestic demand, and building nighttime cultural and tourism consumption clusters, it is of great significance to explore the spatiotemporal evolution characteristics and influencing factors of nighttime urban vitality. Based on Baidu heat map and Dianping point of interest(POI) data, this article measures and s the nighttime urban vitality of the main urban area of Wuhan from 2019 to 2023. An exploratory regression model is used to construct an indicator system of influencing factors, and a spatiotemporal geographically weighted regression model is also used to explore significant influencing factors and mechanisms. Finally, 16 provincial-level or above nighttime cultural and tourism consumption clusters are combined for classification. Research shows that from 2019 to 2023, the nighttime urban vitality in the main urban area of Wuhan city showed a trend of first increasing, then decreasing, and then rebounding, presenting a phased characteristic of policy driven growth, further impact adjustment, and then partial slow recovery. The proportion of residential land area, the proportion of public management and public service land area, the degree of land mix, and the plot ratio have the most significant impact on the vitality of nighttime cities. The 16 provincial-level and above nighttime cultural and tourism consumption clusters can be divided into four categories: high resilience core consumption areas, high volatility comprehensive consumption areas, relatively stable secondary consumption areas, and function oriented consumption areas.