English  |  正體中文  |  简体中文  |  Items with full text/Total items : 21921/27947 (78%)
Visitors : 4202902      Online Users : 338
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://140.128.103.80:8080/handle/310901/29135


    Title: 北京鵝和鴨農莊景觀規劃設計
    Other Titles: Goose and Duck Farm Planning and Design
    Authors: 劉雲
    LIU,YUN
    Contributors: 黃章展
    Huang, Chang-Chan
    景觀學系
    Keywords: 高齡照護;高齡養生;Healing Garden
    Healing garden;Elderly care;Elderly health
    Date: 2016
    Issue Date: 2017-07-17T03:36:03Z (UTC)
    Abstract: 近年來全球高齡化越來越明顯,在未來高齡者的數目甚至要超過年輕人,中國為了積極應對人口老齡化也提出了各項措施以保證社會養老的需求,在高齡關懷——身體機能、友善環境、身心理照護、社交環境等方面也並未涉及,同時一些私人業者也開始提供各種類型的養老產品,比如說度假村、長期養護中心等等,因此本規劃設計以北京鵝和鴨農莊作為基地,創造出一個針對高齡者養生的療愈景觀環境。 本規劃設計主要運用兩個方向的文獻指導——WHO的高齡友善環境營造與療癒景觀。根據業者需求和目標市場定位,規劃療養產品定位分為長期和短期,景觀配置方面將依照四個方向——控制感、社會支持、運動與自然分散力,長期療養空間規劃上共有17個分區,主要有園藝空間、林場空間、靜謐水景、音樂草坪、馬場、天然泳池、靜謐竹林、枯山水、果園採摘和展覽空間。由於農莊把短期度假空間作為整體的示範區,預計首先開放進行使用。所以重點進行細部設計的區域為短期度假空間的景觀,主要以五感庭院、運動空間、林場空間等組成。 本設計構想在完成實質建設開始營運后,建議針對短期度假空間使用者做更加廣泛深入的調查。不僅能為長期療養空間提供更好的規劃,更期望能夠更好的營造高齡療癒空間,以作為未來高齡者的養護空間設計的參考。
    Ageing society has become a global issue and got more and more attention in recent years. The number of elderly people in the future even more than young people. To actively respond to the aging society, China proposed various measures to ensure that the needs of the elderly are properly fulfilled. Meanwhile the private sectors started to provide variety of products for the ageing group. Facilities such as resort or long-stay village specifically designed for the ageing population have emerged. In response to the trend of ageing society, the owner of Goose and Duck Farm intends to refurnish the farm into a resort farm whose target market consists of elderly people from Beijing City. The planning and design of the farm takes two directions into consideration. The first is global age-friendly city which was published by WHO in 2007, and the second one is therapeutic landscape based on varieties of literature. There are two segments of the farm: the long-term living facility for the retirees, and the short-term vacation facility for the retirees. For the therapeutic consideration, the landscape will be designed to create sense of control, social support, exercise opportunities, and natural distraction. The long-term living facility area includes a gardening space, a forest space, a serene waterscape, a concert lawn, a racecourse, a natural pools, a peaceful bamboo forest, a karesansui, an orchard picking, an exhibit space and so on. The short-term vacation facility area consists of several sensory gardens, an exercise space, and a forestry space. Farm is also make the short-term resort space as a whole demonstration area, expected to be the first open to use. Detail design will focus on the short-term vacation facility area since it is the first priority development area. It is suggested that a post-occupancy evaluation (POE) should be implemented to evaluate the planning and design of the short-term vacation facility after it is open to the public. The POE should include a comprehensive survey on customers of the Farm. The data collected from the POE will be analyzed to yield information not only for better planning and design for future development of the long-term living facility area, but also for therapeutic landscape design for the elderly.
    Appears in Collections:[景觀學系所] 碩士論文

    Files in This Item:

    File Description SizeFormat
    104THU00358003-001.pdf7107KbAdobe PDF675View/Open


    All items in THUIR are protected by copyright, with all rights reserved.


    本網站之東海大學機構典藏數位內容,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback