Unfamiliarity inference from Familiarity: Perception of Informal Green Space from the understanding of urban green space.

Authors: Christoph Rupprecht, FEAST Project, Research Institute for Humanity and Nature, Kyoto , MINSEO KIM*,
Topics: Landscape, Urban and Regional Planning, Social Geography
Keywords: informal green space, text analysis, perception,
Session Type: Paper
Day: 4/6/2019
Start / End Time: 1:10 PM / 2:50 PM
Room: Directors Room, Omni, West
Presentation File: No File Uploaded


Multitudinous studies about urban green space (UGS) have sought to reveal that it is essential for not only human well-being but also urban ecology. However, urban areas are having several troubles creating new green spaces: physical limitations, high land prices, and getting behind from other urban plan policies. Therefore, recent studies suggest that there is a possibility of UGS not only for parks and forests, which are the main focus of existing studies about UGS, but also for vacant lots, brownfields, and street sides etc. which is called an informal green space (IGS). However, since IGS is not officially documented as UGS, IGS may be difficult to be perceived as UGS by residents even though they have an interest in it. Therefore, this study attempted to estimate the perception IGS from the participants’ perception toward UGS. We conducted three surveys for 65 undergraduate students who are studying the field of Landscape Architect and Agricultural Science, the first being the Text Analysis and the second being the Focus Groupwork, and the third being Questionnaire. In the first survey of text analysis, participants recognized only in formalized space such as urban parks and forest, but they did not recognize IGS. However, after performing a second focus group work to self-examine about green space, we in the third survey were able to figure out that participants' perception of IGS gets high. We conclude that IGS, which is not a familiar subject, can be perceived as UGS through the process of understanding about itself.

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