Human perception of urban landscape, which signifies to what extent urban landscape is appreciated by local dwellers, informs human-oriented policies that reinforce public participation. Yet, conventional studies on human perception of urban landscape are largely dependent on individual experience, which may restrict the co-production of knowledge that can be operationalized across spatial scales and sectors. In this study, we mapped human perception of urban landscape in Shanghai by leveraging an advanced deep-learning approach and street-view images. Specifically, the ResNet50 model was employed to map four critical perceptions, i.e., security, depression, vitality, and aesthetic, at parcel level. We further explored the relationship between human perception and land-use types. Our results show that highly urbanized area (Puxi district encompassed by the Inner Ring Road) is perceived as more secure and vital, but more depressing. Besides, human perception varies substantially across different land-use types, among which administrative and service land is favored with regard to all the four perception types. This study advances our understanding of urban landscape through the lens of human perception, and provides nuanced insights into steering human settlement towards sustainability by strategically promoting mixed land use.

人类对城市景观的感知，表明当地居民对城市景观的欣赏程度，为加强公众参与的以人为本的政策提供了依据。然而，关于人类对城市景观的感知的传统研究在很大程度上依赖于个人经验，这可能会限制可以跨空间尺度和部门操作的知识的共同生产。在这项研究中，我们利用先进的深度学习方法和街景图像绘制了人类对上海城市景观的感知。具体而言，采用 ResNet50 模型来映射四种关键感知，即安全、抑郁、活力和审美，在包裹级别。我们进一步探讨了人类感知与土地利用类型之间的关系。我们的研究结果表明，高度城市化的地区（内环路环绕的浦西区）被认为更安全、更有活力，但更令人沮丧。此外，人类对不同土地利用类型的感知差异很大，其中行政和服务用地在所有四种感知类型中都受到青睐。这项研究通过人类感知的视角推进了我们对城市景观的理解，并为通过战略性地促进混合土地利用来引导人类住区走向可持续发展提供了细致入微的见解。