基于大数据的老年人服务空间分布失衡量化研究

本文基于北京石景山区218个小区，通过空间分析和机器学习的方法。探讨老年人服务设施分布和老年人死亡率代表的老年人生活质量之间的影响因子。结论显示交通设施的密度、医疗设施、生活服务设施、老年保健设施的可访问性关系最大，这为未来的城市规划和老龄化社会建设提供了建设。
This paper is based on 218 residential areas in Shijingshan District of Beijing, through spatial analysis and machine learning methods. To explore the influencing factors between the distribution of service facilities for the elderly and the quality of life represented by the mortality rate of the elderly. The conclusion shows that the density of transportation facilities, medical facilities, living service facilities and elderly health care facilities have the largest accessibility relationship, which provides construction for future urban planning and the construction of an aging society.

机器学习在历史保护街区活力分析上的应用

本文基于北京市有的八个历史街区，运用机器学习的方法对分为23个因子（形态、功能、视觉和交通四个方面）的活力特征进行分析建模，以便更好地管理历史保护街区。
Based on eight historic blocks in Beijing, this paper uses machine learning to analyze and model the dynamic characteristics divided into 23 factors (form, function, vision and traffic), so as to better manage historic protected blocks.

作为非专业人士如何使用游戏环境反映设计

本文基于过去的步行模拟需要的高学习成本，所以基于unity 3D这款游戏软件开发出有交互性多代理人步行模拟原型。建立该工作流 可以方便地将设计进行简单地步行实验，方便未来的设计和研究。
Based on the high learning cost of the past walking simulation, this paper develops a prototype of interactive multi-agent walking simulation based on the game software unity 3D. The establishment of the workflow can facilitate the design to carry out simple walking experiments, which is convenient for future design and research.

上海市养老助餐设施匹配以及空间分布研究

本文基于生活圈尺度视角，研究上海市助餐设施的服务能力与老年人口现实需求匹配程度，划定分割标准进行助餐可达性评价，并且计算各小区目前的助餐设施缺失数量。
Based on the perspective of life-circle scale, this paper studies the matching degree between the service capacity of assisted meal facilities and the actual needs of the elderly population in Shanghai, delimits the segmentation criteria to evaluate the accessibility of assisted meal facilities, and calculates the current number of missing assisted meal facilities in each community.