| 摘要: |
| 人及其活动是城市公共空间活力的核心，聚焦人及其活动的公共空间活力测度一直是人本尺度城市研究的难点。针对公共空间活力表征问题，提出了基于人群轨迹聚类的空间活力表征新方法。该方法采用基于视频的多目标跟踪技术提取人群运动轨迹，并对轨迹聚类分组处理；根据轨迹类别的多样性和结构的差异性，提出了新的“空间轨迹熵”来反映公共空间人群行为模式的丰富度和混合度，从新颖而简洁的角度来测度人群活动复杂状态，以表征公共空间活力。以成都市武侯区3个公共空间为研究对象，用本方法计算出分时段的空间轨迹熵，结合人工检视探讨了3个场景的空间活力时序变化及成因并给出了空间优化建议。研究结果显示：该空间活力表征方法可以客观描摹人群时空运动状态，精准测度时空活力，有效解决传统活力表征方法时空精细度低等问题，反映空间中的城市运维现实，辅助建立人本尺度的空间活力动态评价机制，为公共空间活力评估、品质优化、场地微更新等城市治理课题提供精准的技术支持。 |
| 关键词: 公共空间 活力 轨迹聚类 活动丰富度 空间轨迹熵 |
| DOI：10.14085/j.fjyl.2022.01.0095.07 |
| 分类号:TU986.5 |
| 基金项目:国家自然科学基金（编号 61871278）；四川省科技计划项目（编号 2018HH0143） |
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| Research on Public Space Vitality Representation Based on Space Trajectory Entropy |
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LIU Bo1, QING Linbo1, HAN Longmei2, LONG Ying3
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1.Sichuan University;2.Chengdu Institute of Planning & Design;3.Tsinghua University
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| Abstract: |
| People and their activities are the core of the vitality of urban public space. The measurement of public space vitality focusing on people and their activities has always been a difficulty in human-scale urban researches. In view of the representation of public space vitality, this research proposes a new method of spatial vitality representation based on the crowd trajectory clustering. In this method, the multi-object tracking technology based on videos is used to extract the trajectory of the crowd, which is further clustered based on the trajectory structure. According to the diversity of trajectory categories and the difference of structures, “the space trajectory entropy” is put forward to reflect the diversity and mixing degree of the behavior patterns in public space, and to measure the complex state of crowd activity from a novel and concise perspective, so as to represent the vitality of public space. In this research, three public spaces in Wuhou District of Chengdu City are selected as the research objects. The spatial trajectory entropy of the three scenes is calculated under this method. Combined with manual review, it explores the changes and causes of the time series of spatial vitality of the three scenes and gives spatial optimization suggestions. The results show that the spatial vitality characterization method can objectively describe the temporal and spatial movement of the crowd, precisely reflect the spatial-temporal vitality of space, reflect the exact urban operation and maintenance reality in the space, and contribute to establish a human-scale dynamic evaluation mechanism of spatial vitality. As a result, the proposed work can provide precise technical support for city governance, such as public space vitality assessment, quality optimization and site micro-renewal. |
| Key words: public space vitality trajectory clustering activity diversity space trajectory entropy |
| 引用本文: | 刘博,卿粼波,韩龙玫,龙瀛.基于空间轨迹熵的公共空间活力表征方法研究[J].风景园林，2022，29（1）：95-101. |
| LIU Bo,QING Linbo,HAN Longmei,LONG Ying.Research on Public Space Vitality Representation Based on Space Trajectory Entropy[J].Landscape Architecture Journal, 2022, 29(1):95-101. |
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