林业与环境科学2024,Vol.40Issue(2) :61-68.

杭州市公园绿地景观空间对使用者的感知恢复及行为意向影响研究

A Study on the Perceived Recovery and Behavioral Intention of Users in the Park Landscape Space in Hangzhou City

沈林骏 盛黎蔚 张宇晨 施春燕 应桃园 詹菁
林业与环境科学2024,Vol.40Issue(2) :61-68.

杭州市公园绿地景观空间对使用者的感知恢复及行为意向影响研究

A Study on the Perceived Recovery and Behavioral Intention of Users in the Park Landscape Space in Hangzhou City

沈林骏 1盛黎蔚 2张宇晨 3施春燕 1应桃园 1詹菁1
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作者信息

  • 1. 杭州萧山技师学院, 浙江 杭州 311201
  • 2. 杭州市萧山区第一中等职业学校, 浙江 杭州 311202
  • 3. 上汇实验学校,上海 200031
  • 折叠

摘要

杭州市作为第19 届亚洲运动会城市,其公园绿地对城市居民健康的推动起到重要作用.为了解杭州市公园绿地空间对使用者的感知恢复效果及行为特征的影响,以优化公园绿地的游憩和保健功能,分析363 名被试者的感知恢复指标(PRS)、感知评价及行为意向,研究结果表明:(1)使用者的感知恢复和行为意向受空间类型差异的影响;(2)草坪空间与林地空间的感知恢复效果最佳,其次是水景空间,对空间的感知评价同样会促进恢复;(3)空间感知评价及偏好会影响使用者行为意向;(4)人在公园绿地景观空间中的感知恢复与行为意向存在关联性.

Abstract

Hangzhou,as the host city of the 19th Asian,parks and green spaces play an important role in promoting the health of urban residents.In order to explore the effects of park green space in Hangzhou on user's perceived recovery effects and behavioral characteristics,this study measured the perceptual recovery indi-cators(PRS),perceived evaluations,and behavioral intentions of 363 participants to explore the impact of park green space landscapes in Hangzhou on the comprehensive healing value of users,in order to optimize the recrea-tional and healthcare functions of park green spaces.The results indicate that:(1)the perception recovery and behavioral intention of users are influenced by spatial type differences.(2)The perception restoration effect of lawn space and forest space is the best,followed by water feature space,and the perception evaluation of space will also promote restoration.(3)The spatial perception evaluation and preferences may have inhibitory or pro-moting effects on the user's different behavioral intentions.(4)There is a correlation between perceived recovery and behavioral intention.

关键词

公园绿地/感知评价/行为意向/感知恢复/无序logistic回归/杭州市

Key words

parks green spaces/perceptual evaluation/behavioral intention/perceptual recovery/disor-dered logistic regression/Hangzhou

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出版年

2024
林业与环境科学
广东省林学会,广东省林业科学研究院

林业与环境科学

影响因子:0.62
ISSN:1006-4427
参考文献量24
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