| 摘要: |
| 城市公共空间是人们进行社交活动的开放性场所，其活力的测度研究具有重要意义。人群及其活动是公共空间活力的主体和外在表现，传统的测度方法往往是对空间活力的间接反映。大数据能全面反映人群活动的行为特征和时空规律，从而使真实描述公共空间活力本质成为可能。从反映人群活动的稳定性、聚集性与多样性等3个基本特征的视角，提出了以大数据为基础的公共空间活力评价体系和定量计算方法。指出大数据质量及适用性研究、公共空间活力评价及其与物理空间的耦合机制研究应是未来的研究方向。 |
| 关键词: 风景园林 大数据 城市公共空间 活力 测度 研究方向 |
| DOI： |
| 分类号:TU986 |
| 基金项目: |
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| Measurement of Urban Public Space Vitality Based on Big Data |
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LIU Song, LAI Siqi
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Tongji University
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| Abstract: |
| Urban public space is an open place for people to engage in social activities. It is of great significance to study the measurement of its vitality. People and their activities are the main body and external manifestation of the vitality of public space. Traditional measurement methods are often indirect reflection of the space vitality. Big data can fully reflect the behavior characteristics and spatio-temporal laws of crowd activities. Thus, it is possible to truly describe the essence of public space vitality. From the perspective of reflecting the stability, aggregation and diversity of human activities, this paper puts forward the evaluation system and quantitative calculation method of public space vitality based on big data. It points out that the study of big data quality and applicability, public space vitality evaluation and coupling mechanism of public space vitality with the physical space should be the future research directions. |
| Key words: landscape architecture big data urban public space vitality measurement research direction |
