摘要
将我国城市交通枢纽环境的适老化设计纳入当前大数据背景下,建立基于大数据应用的智慧适老化环境设计研究体系,旨在改善老年乘客的交通环境体验。从城市形态学、建筑类型学、交通学和行为心理学领域,引入环境形态分析法、环境类型解析法、行为数据仿真法和行为数据编码法。以笔者参加设计的南京铁路南站候车层适老化环境设计工程为例进行实证研究,诠释其适老化设计的过程与方法。城市交通枢纽环境的适老化设计是建立我国“老年宜居环境体系”发展战略的重要内容。
Under the background of incorporating the appropriate elderly-oriented design of urban transportation hub environment in China to current big data, to establish a research system for intelligent elderly-oriented environment design based on big data application. From the fields of urban morphology, architectural typology, transportation and behavioral psychology, introduce environmental morphological analysis, environmental type analysis, behavioral data simulation and behavioral data coding. Through the author’s typical engineering design cases, the empirical research was carried out to explain the process and method of aging design. To improve the traffic environment experience of elderly passengers is an important part of the development strategy of“establishing an elderly livable environment system”.
出处
《设计》
2019年第13期52-54,共3页
Design
基金
2017年度教育部人文社会科学研究青年基金项目“基于大数据应用的城市交通枢纽环境智慧适老化设计研究”(项目编号:17YJCZH011)的阶段性成果
关键词
大数据
城市交通枢纽
智慧适老化
环境设计
Big data
Urban transportation hub
Intelligent
elderly-oriented Environmental
design