【摘要】 基于"人民城市"理念,以泰安市铁路新村小区和升平小区为案例,从居民的切实需求出发,关注居民多元参与和空间导向的关系,结合全卷积神经网络模型(SegNet)和城市景观数据集等人工智能技术手段提出以人为核心的老旧小区公共空间品质高颗粒度的精准测度。同时结合居民在日常活动和需求,对公共空间环境问题进行精准分析,为老旧小区精细化、系统化的更新提供技术支撑。更多还原

【Abstract】 Based on the concept of people’s city，taking Tai’an railway new village and shengping community as cases，starting from the practical needs of residents，this paper focuses on the relationship between residents’ multiple participation and spatial orientation.Combined with artificial intelligence techniques such as SegNet and Cityscapes dataset，proposes a precise measurement of high quality and granularity of public space in old residential areas with people-centered.At the same time，combined with the daily activities and needs of residents，analyzes the environmental problems of public space accurately to provide technical support for the refined and systematic renewal of the old communities.更多还原