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    Measuring and Understanding Public Perception of Preference for Ordinary Landscape in the Chinese Context: Case Study from Wuhan

    Source: Journal of Urban Planning and Development:;2019:;Volume ( 145 ):;issue: 001
    Author:
    Tao Luo; Min Xu; Jiang Liu; Jin-qing Zhang
    DOI: 10.1061/(ASCE)UP.1943-5444.0000492
    Publisher: American Society of Civil Engineers
    Abstract: The change in public landscape cognition is of crucial significance in achieving sustainable landscape management, but it has not drawn enough attention in China. Landscape cognition was recognized as a cognitive process affected by both objective and subjective factors in this study. Information processing in landscape cognition was divided into two parts, which were measured by two indicators: perceptual priority (PP) and cognitive preference (CP). Factors impacting this process were analyzed based on a survey of 227 subjects with diverse backgrounds and life experiences. The results indicated that (1) a moderately patterned preference for natural landscape together with a consistent dislike of artificial landscape existed among the sample based on demographic subjects’ demographic characteristics—in particular, age and education showed significant influence on landscape preference; (2) water elements and elements with large areas, regular shapes, and low axial ratios were more easily perceived and identified. The study suggests a rationally grouping of landscape elements based on PP and CP values and illustrates how this grouping determines landscape valuation in a Chinese context. The results contribute to a general picture of public landscape perception and preference in China, which can be applied in planning practice and policy making to achieve sustainable landscape management.
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      Measuring and Understanding Public Perception of Preference for Ordinary Landscape in the Chinese Context: Case Study from Wuhan

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4254333
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    contributor authorTao Luo; Min Xu; Jiang Liu; Jin-qing Zhang
    date accessioned2019-03-10T11:49:41Z
    date available2019-03-10T11:49:41Z
    date issued2019
    identifier other%28ASCE%29UP.1943-5444.0000492.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4254333
    description abstractThe change in public landscape cognition is of crucial significance in achieving sustainable landscape management, but it has not drawn enough attention in China. Landscape cognition was recognized as a cognitive process affected by both objective and subjective factors in this study. Information processing in landscape cognition was divided into two parts, which were measured by two indicators: perceptual priority (PP) and cognitive preference (CP). Factors impacting this process were analyzed based on a survey of 227 subjects with diverse backgrounds and life experiences. The results indicated that (1) a moderately patterned preference for natural landscape together with a consistent dislike of artificial landscape existed among the sample based on demographic subjects’ demographic characteristics—in particular, age and education showed significant influence on landscape preference; (2) water elements and elements with large areas, regular shapes, and low axial ratios were more easily perceived and identified. The study suggests a rationally grouping of landscape elements based on PP and CP values and illustrates how this grouping determines landscape valuation in a Chinese context. The results contribute to a general picture of public landscape perception and preference in China, which can be applied in planning practice and policy making to achieve sustainable landscape management.
    publisherAmerican Society of Civil Engineers
    titleMeasuring and Understanding Public Perception of Preference for Ordinary Landscape in the Chinese Context: Case Study from Wuhan
    typeJournal Paper
    journal volume145
    journal issue1
    journal titleJournal of Urban Planning and Development
    identifier doi10.1061/(ASCE)UP.1943-5444.0000492
    page05018021
    treeJournal of Urban Planning and Development:;2019:;Volume ( 145 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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