干预(咨询)
重新使用
人口
选择(遗传算法)
老年人
业务
计算机科学
环境规划
地理
心理学
老年学
工程类
医学
环境卫生
废物管理
人工智能
精神科
作者
Maryam Naghibi,Mohsen Faizi
出处
期刊:Cities
[Elsevier]
日期:2022-05-28
卷期号:127: 103769-103769
被引量:9
标识
DOI:10.1016/j.cities.2022.103769
摘要
Leftover spaces are constitutive elements of the city structure. The accurate selection of and intervention in certain hotspots can lead to an urban development that slowly takes over. The design intervention has a special effect on preventing the transition into vacancy; hence, user preferences should be properly considered. In 2017, the global population of adults aged 60 and upper reached 962 million. To address the needs of the elderly, we need to define local relevant design approaches. This research seeks to identify the elderly's preferences, particularly their use of open spaces. Application of the mixed-methodology with the BWM-questionnaire to vacant lands resulted in: a natural landscape with diverse vegetation and other facilities, gentle leisure activities, and community gardening as essential intervention attributes, leading to an ideal environment for the elderly. The innovation is implementing a mixed approach, BWM questionnaire, and considering both experts and public preferences to represent the demands of the elderly in cities. The kind of intervention and the needs of the elderly, particularly in restricted outdoor spaces, have still not been intensively reported. As these areas are too restricted, design components will play a greater role. Consequently, temporary, flexible, and experimental responses to leftover spaces are provided.
科研通智能强力驱动
Strongly Powered by AbleSci AI