| 摘要: |
| 新媒体时代，短视频媒介通过碎片化、虚拟化的场景叙事重构了城市空间认知逻辑，传统规划视角下的商业街区活力更新面临数据支撑不足、动态响应滞后等挑战。针对低活力街区更新需求，研究以长沙黄兴南路步行街、太平老街为实证对象，基于城市场景理论，融合短视频图像数据、空间核密度分析及百度热力图人群时空分布等多源数据，揭示高活力“网红场景”的空间集聚特征与生成机制。研究提出“文脉显性化、场景传播化、功能时段化”三大更新策略，为新媒体赋能下的城市空间更新优化提供数据支撑与技术路径。 |
| 关键词: 网红场景 多源数据 商业街区 城市更新 |
| DOI： |
| 分类号:TU29 |
| 基金项目: |
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| Research on Spatial Characteristics of “Internet-Famous Scene” Driven by Multi-source Data --Taking Changsha Commercial Street District as an Example |
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Shi Lei, Qi Qi, Duan Meng
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Central South University
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| Abstract: |
| In the era of new media, short video platforms have redefined the cognitive logic of urban space through fragmented and virtual narrative scenarios. Traditional planning approaches to revitalizing commercial districts face challenges such as insufficient data support and delayed dynamic responses. To address the renewal needs of low-vitality districts, this study uses Changsha Huangxing South Road Pedestrian Street and Taiping Old Street as case studies. Based on urban scene theory, it integrates short video image data, spatial kernel density analysis, and Baidu heatmap crowd spatiotemporal distribution data to reveal the spatial aggregation characteristics and generation mechanisms of high-vitality “Internet-Famous Scene.” The study proposes three major renewal strategies: “cultural heritage visualization, scenario dissemination, and functional temporalization,” providing data support and technical pathways for optimizing urban space renewal empowered by new media. |
| Key words: Netflix Scene Multi-source Data Commercial Neighborhoods Urban Renewal |
