Research on restorative perception mechanisms in rural landscapes based on structural equation modelling

结构方程建模 感知 地理 生态学 计算机科学 心理学 生物 机器学习 神经科学
作者
Songlin Jiang,Xi Li,Jiayi Lin,Xinmiao Ji,Wenli Ji
出处
期刊:Ecological Indicators [Elsevier BV]
卷期号:172: 113252-113252 被引量:4
标识
DOI:10.1016/j.ecolind.2025.113252
摘要

• Create a model for the mechanisms of restorative perception in rural landscapes. • Place attachment is the key mediating variable for restorative perception. • Woodland have the highest factor loading, followed by farmland, buildings, water, and roads. • Gender, age, professionalism and the degree of familiarity have moderating effects. • Offer guidance for crafting rural landscapes and enhancing recreational experiences. To alleviate the emotional stress in modern urban life, people are increasingly relying on restorative environments to retain their physical and mental well-being. The rural landscape is an underestimated potential restorative environment. This study took the traditional rural settlement “Linpan” in Chengdu as representative rural landscape, which was further divided into tourist and agricultural rural landscapes. A structural equation model was used to construct a restoration perception mechanism consisting of landscape elements perception, place attachment, recreational activity preference, and restorative perception. The results showed that the perception score of farmland and woodland in agricultural rural landscapes were the highest, and buildings in tourism rural landscapes were more effective. Landscape elements perception, place attachment, recreational activity preference all have a significant impact on restorative perception (P < 0.05), with place attachment being the most critical mediating factor affecting restorative perception (Standardized path coefficient = 0.805, P < 0.001). Gender (positive moderating effect for male), age (positive), professionalism and the degree of familiarity with the rural landscape (negative) had significant moderating effects (P < 0.05). The results of the study provide recommendations for rural landscape construction and tourism development, especially through the design of landscape elements and pro-natural activities to improve tourists' place attachment and further enhance restorative perception.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
12发布了新的文献求助10
刚刚
1秒前
Ahua发布了新的文献求助10
1秒前
2秒前
2秒前
顾矜应助书晨采纳,获得10
3秒前
CipherSage应助郭菱香采纳,获得10
3秒前
刘智舰应助Omni采纳,获得10
4秒前
萨格发布了新的文献求助10
4秒前
Flicker完成签到 ,获得积分10
4秒前
6秒前
细心城发布了新的文献求助10
6秒前
赘婿应助uiugi采纳,获得20
7秒前
冬野完成签到,获得积分10
7秒前
Moooi完成签到,获得积分10
7秒前
科目三应助YY采纳,获得10
7秒前
10秒前
10秒前
思源应助是问采纳,获得10
10秒前
科研通AI6.4应助高高树叶采纳,获得10
11秒前
香蕉觅云应助高高树叶采纳,获得10
11秒前
11秒前
孤独静枫发布了新的文献求助10
11秒前
12秒前
HZH发布了新的文献求助10
12秒前
晚风应助虚心的灵寒采纳,获得30
12秒前
真瑞卍完成签到,获得积分10
13秒前
SciGPT应助正月初九采纳,获得10
14秒前
14秒前
leec完成签到,获得积分10
14秒前
郭菱香发布了新的文献求助10
15秒前
lobster应助别管我是谁采纳,获得20
15秒前
书晨发布了新的文献求助10
15秒前
熊大发布了新的文献求助10
17秒前
木棉发布了新的文献求助10
17秒前
领导范儿应助威武草莓采纳,获得10
18秒前
Weirdo发布了新的文献求助10
19秒前
19秒前
19秒前
molihuakai应助glacial采纳,获得10
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
Management and the Arts 310
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7629518
求助须知:如何正确求助?哪些是违规求助? 9203974
关于积分的说明 19736300
捐赠科研通 7199027
什么是DOI,文献DOI怎么找? 3274277
关于科研通互助平台的介绍 2436423
邀请新用户注册赠送积分活动 2270424