人–环境交互作用是地理学中的经典议题，表明个体与其所处环境可能相互塑造。然而，关于人格特质与环境交互的具体机制尚未得到探索。本研究考察了美国德克萨斯州四座城市中，基于街景图像提取的建成环境特征与人类大五人格特质之间的关联，为理解此类复杂的人–环境动态关系提供了描述性基础。通过整合高分辨率的自报告人格评估数据与城市环境的计算机视觉分析，我们在邮政编码（ZIP code）尺度上识别出人格特质显著的空间聚类现象。回归分析结果表明，建成环境特征与社会经济特征共同解释了人格分布的较大变异量，其中开放性（Openness）的模型拟合度最高（R² = 0.47），其次为宜人性（Agreeableness）、尽责性（Conscientiousness）、外向性（Extraversion）和神经质（Neuroticism）。分组后的建成环境类别、社会经济因素及人口构成均呈现出与各人格特质特异性的关联模式。这些发现表明，人格特质可能在比以往研究更小的地理尺度上与物理空间相关联。本研究结果为心理特征与环境要素之间的联系提供了实证依据，有望从以人为中心的视角丰富地理学研究。
Human–environment interactions, a classic topic in geography, suggest that individuals and their environments might shape each other. Yet the specific mechanisms underlying these interactions regarding human personality traits have not been explored. This study examines the associations between human Big Five personality traits and built environment characteristics derived from street view imagery across four cities in Texas, United States, providing a descriptive foundation for understanding these complex human–environment dynamics. By integrating fine-resolution self-reported personality assessments with computer vision analysis of urban environments, we identified significant spatial clustering of personality traits at the ZIP code level. Our regression analyses reveal that built environment features and socioeconomic characteristics explain substantial variance in personality distributions, with Openness showing the strongest model fit (R2 = 0.47), followed by Agreeableness, Conscientiousness, Extraversion, and Neuroticism. Grouped built environment categories, socioeconomic factors, and demographic composition showed trait-specific patterns of association. These findings illustrate how personality traits could be associated with physical spaces at a smaller geographic scale than previously examined. Our results provide empirical evidence for understanding the link between psychological characteristics and environmental features, which can potentially enrich geography studies from a human-centered perspective.