CN 11-5366/S     ISSN 1673-1530
“风景园林,不只是一本期刊。”

非物理边界感知模式对城市公园人群活动分布特征的影响

The Influence of Non-physical Boundary Perception Patterns on the Distribution Characteristics of Crowd Activities in Urban Parks

  • 摘要:
    目的 城市公园作为重要的共享公共空间,人群活动的空间分布呈现出明显的感知驱动特征。明确文化、社交、心理及行为等非物理边界对城市公园人群活动分布特征的影响机制,有助于推动公共空间设计从物理分割转向感知引导。
    方法 以武汉市3个典型城市公园为研究对象,构建包含文化、社会、心理与行为4个维度的非物理边界感知模式,通过结构化问卷和现场观察收集空间感知与行为数据,并运用结构方程模型分析路径选择和停留分布的影响因素,揭示各维度对人群活动分布特征的直接与间接作用路径。
    结果 社会边界感知与心理边界感知对空间行为具有显著直接影响,文化与行为边界感知则通过社会和心理边界感知间接影响人群活动分布特征。
    结论 城市公园的空间布局应兼顾社交距离与心理安全,文化认同与行为规范应融入社交场景,以提升空间使用的包容性与活力。通过构建非物理边界感知模式的结构方程模型,补充了感知维度对空间行为影响机制的理论解释路径,并为基于感知引导的城市公园设计实践提供了量化支撑。

     

    Abstract:
    Objective Urban parks, as critical nodes of public life in rapidly urbanizing contexts, play a vital role in providing recreation, social interaction, and psychological restoration. While traditional urban design research has largely emphasized the influence of physical boundaries—such as spatial morphology, green infrastructure, and facility layout—recent observations indicate that these tangible features alone cannot fully explain heterogeneous behavioral patterns such as crowd aggregation, avoidance, or uneven spatial use within open parks. This study aims to investigate how non-physical boundaries—including cultural identity, social distance, psychological safety, and behavioral norms—influence the distribution characteristics of crowd activities (DCCA) in urban parks. By developing and empirically validating a non-physical boundary perception pattern (NPBPP), the study seeks to reveal the mechanisms through which perception-driven processes influence DCCA and to support more inclusive park design .
    Methods Three representative urban parks in Wuhan, China—Jiefang Park, Hankou Riverside Park, and Shahu Park—were selected as case study sites. Fifteen 50 × 50 m observation zones were delineated to capture behavioral data across varied spatial functions. First, structured questionnaires (N=277 valid responses) were designed to measure perceptions across four dimensions of non-physical boundaries: Cultural, social, psychological, and behavioral. Items were adapted from established research in environmental psychology, sociology, and proxemics, after pre-testing for contextual validity. Second, on-site behavioral observations were conducted to record path selection, stay duration, and activity type, with demographic and temporal controls. Statistical analyses proceeded in several stages: descriptive statistics summarized visitor profiles and activity preferences. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted to assess the measurement model, with convergent and discriminant validity further evaluated. Reliability was confirmed with Cronbach’s α ranging from 0.79 to 0.87. A structural equation model (SEM) tested direct and indirect pathways between boundary perceptions and the distribution characteristics of crowd activities (DCCA). Bootstrap mediation analysis further examined indirect effects.
    Results Findings indicate that social and psychological boundaries exert significant direct effects on the distribution characteristics of crowd activities, whereas cultural and behavioral boundaries mainly act through indirect pathways. Specifically, the SEM results show: 1) Social boundary perception (SBP) has a significant positive impact on DCCA(β=0.161, p<0.05). It also plays a mediating role in the effects of cultural and psychological factors on DCCA. 2) Psychological boundary perception (PBP) also directly influences DCCA(β=0.158, p<0.05), and is further involved in indirect pathways through social and behavioral boundaries. 3) Cultural boundary perception (CBP) shows no significant direct effect, but influences DCCA through dual mediation: via social boundary perception (CBP→SBP→DCCA, 6%) and psychological boundary perception (CBP→PBP→DCCA, 3%). 4) Behavioral boundary perception (BBP) does not independently predict DCCA, yet its effect emerges when combined with social cohesion or psychological safety, suggesting that behavioral cues are contingent upon prior perceptual conditions. Bootstrap mediation analysis further supported these findings by identifying indirect pathways, such as PBP→SBP→DCCA and SBP、PBP→BBP→DCCA. Together, these findings suggest a “perception−cognition−behavior−space” transmission chain,The results support four design principles: social gradient permeation, psychological safety anchoring, cultural symbol embedding, and collaborative behavioral cueing.
    Conclusion This study contributes to research on urban public space design. Theoretically, it advances the understanding of non-physical boundaries by systematically integrating cultural, social, psychological, and behavioral dimensions into a single structural model, validated through empirical testing. The findings highlight that perceptual processes, rather than physical configurations alone, shape how individuals and groups occupy and interact within public parks. The model not only confirms the significance of direct effects (social and psychological boundaries) but also underscores the importance of indirect, chain-like mediation pathways (cultural and behavioral boundaries). Practically, these findings offer design for enhancing inclusivity and vitality in urban parks. By shifting the focus from physical segmentation to perception-oriented guidance, urban park design can more effectively accommodate diverse user groups, mitigate spatial exclusion, and foster environments that balance social interaction with psychological comfort. Future studies may extend the model across different cultural and climatic contexts, incorporate longitudinal and physiological measures of perception, and explore its applicability to other public space typologies such as plazas and waterfronts. Thus, the concept of non-physical boundaries may become a useful lens for bridging environmental psychology, sociology, and urban design in the pursuit of more human-centered and adaptive cities.

     

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