设计工作室,
Design Studio,

在传统的建筑、景观与城市规划设计中,设计决策往往依赖于经验、美学直觉与规范推演。然而,面对当代城市复杂的生态、社会与技术挑战,仅靠直觉已难以应对不断演化的需求。数据驱动设计,正是这一时代背景下的新范式。它通过对空间数据科学、环境信息、用户行为与社会动态的深入挖掘,将可量化的证据转化为可视化的设计逻辑,赋予设计更强的适应性、前瞻性与说服力。
In traditional architecture, landscape, and urban planning design, decision-making has long relied on experience, aesthetic intuition, and normative deduction. However, when confronted with contemporary urban challenges—ecological complexities, social dynamics, and technological disruptions—intuition alone proves insufficient to address evolving demands. Data-driven design emerges as a transformative paradigm for our era. By synthesizing spatial data science, environmental metrics, user behavior patterns, and societal trends, it translates quantifiable evidence into visualized design logic. This approach equips design with enhanced adaptability, foresight, and persuasive rigor.

任务 I Mission:
为传统规划设计与城市数据科学提供一个实验性的跨界融合平台,推动创新解决方案及概念落地。
To create an experimental platform bridging traditional planning/design with urban data science, catalyzing innovative solutions from concept to implementation.

核心组成 I Core Components:
Design Studio的核心板块包括三大部分:
1. 搭建实践协作平台:
与国内外先锋建筑、景观与城市设计事务所联合开展设计实践,推动真实项目的真实落地;
2. 探索数据驱动与在地性响应的竞赛流:
以国际国内设计竞赛为媒介,激发数据分析与前沿技术在气候正义、空间公平、历史语境等复杂议题中的应用潜力。
3. 建立跨国学术交流,评论与策展机制:
构建由海外学者、实践者、技术专家组成的导师网络,开展工作坊、评图与策展服务。

The three Core Components of Design Studio are:
1) Building a Practice Collaboration Platform: Partner with leading architecture, landscape, and urban design firms—both in China and internationally—to engage in hands-on design practice and support the real-world implementation of innovative projects.
2) Exploring Data-Driven and Context-Responsive Competition Streams: Use national and international design competitions as a vehicle to activate data analytics and emerging technologies in addressing complex issues such as climate justice, spatial equity, and historical context.
3) Establishing a Cross-National Framework for Academic Exchange, Critique, and Curation: Develop a mentoring network composed of international scholars, practitioners, and technical experts, offering workshops, design critiques, and curatorial programming to foster cross-cultural dialogue and knowledge exchange.





































工作室主任 | Studio Director
Yanyao Cui

美国知名景观事务所设计师
UC Berkeley 景观建筑硕士
University of Sheffield  城市设计硕士

最新学术奖项(点击链接了解更多内容):
2024-2025  美国景观建筑基金会2项奖学金获得者
(全美共26人获得,仅2人同时获得两项奖学金提名)
2024-2025  MIG毕业研究及设计奖(共2人获得)
2024 降低野火风险的景观设计竞赛个人奖第二名

擅长领域:
热岛效应分析 · 遥感数据及GIS空间数据分析及建模,EnviMet环境温度模拟,气候变化背景下的可持续设计,儿童友好空间营造。

设计实践及研究经历:
Cui 曾就职于UPDIS及ARUP担任城市设计师职位,拥有6年以上中国及美国设计实践经验。

在美国学习及工作期间,Yanyao曾参与多项先锋的城市研究及设计项目:包括与SWA合作的休斯顿中心区城市热岛及清凉策略研究;由MIG支持的针对加州Stockton高温脆弱社区中构建以儿童为中心的清凉网络研究与设计;与City of San Rafeal合作的应对滨海社区雨洪挑战问题的研究,与Watsonville Wetlands Watch合作研究的关于在百年一遇洪水情境下粮食危机应对的研究与城市设计策略,以及Richmond Field Station的公共空间提升改造等实施项目。

Yanyao还曾在中国参与多项国家级重点城市设计项目及竞赛,如香港流浮山片区用地规划提升研究,澳门滨海景观规划及设计竞赛,横琴粤澳深度合作区国际竞赛,深圳市罗湖火车站及周边城市设计国际咨询,深圳光明科学城城市设计国际咨询,深圳市海洋新城生态修复工程等重点项目。

多年的跨学科和跨区域的城市研究与实践使得Yanyao拥有更加开放、包容、严谨的态度看待设计对于城市的意义不仅仅是视觉上的提升,更应该是回应社会关切和需求。Yanyao倡导用客观的观点支持有温度和情怀的设计。通过先进的分析和研究方法,做可信任、负责任的设计。


Yanyao Cui

Designer at a renowned American landscape architecture firm
Master of Landscape Architecture, UC Berkeley
Master of Urban Design, University of Sheffield

Latest Academic Awards (click the links for more details):
2024-2025 Recipient of 2 Scholarships from the Landscape Architecture Foundation (only 26 recipients nationwide, and only 2 were nominated for both scholarships)
2024-2025 MIG Graduate Research & Design Award (awarded to 2 recipients)
2024 Second Place in the Individual Category of the Landscape Design Competition for Wildfire Risk Mitigation

Areas of Expertise:
Heat island effect analysis · Remote sensing and GIS spatial data analysis & modeling, EnviMet environmental temperature simulation, sustainable design under climate change, child-friendly space design.

Design Practice & Research Experience:
Cui has worked as an urban designer at UPDIS and Arup, with over 6 years of design practice experience in China and the U.S.
During her studies and work in the U.S., Yanyao participated in multiple pioneering urban research
and design projects, including:
  • A study on urban heat islands and cooling strategies in downtown Houston, in collaboration with SWA;
  • Research and design of a child-centered cooling network for heat-vulnerable communities in Stockton, California, supported by MIG;
  • Research on addressing stormwater challenges in coastal communities, in collaboration with the City of San Rafael;
  • Urban design strategies for food crisis response under once-in-a-century flood scenarios, in collaboration with Watsonville Wetlands Watch;
  • Implementation projects such as the public space enhancement of Richmond Field Station.

While worked in China, Yanyao has also contributed to several national-level key urban design projects and competitions, including:
  • Land use planning and enhancement study for the Lau Fau Shan area in Hong Kong;
  • Coastal landscape planning and design competition in Macau;
  • International competition for the Guangdong-Macao In-Depth Cooperation Zone in Hengqin;
  • International consultation for urban design around Luohu Railway Station in Shenzhen;
  • International consultation for urban design of Shenzhen Guangming Science City;
  • Ecological restoration project for Shenzhen’s Marine New City.

Years of interdisciplinary and cross-regional urban research and practice have shaped Yanyao’s open, inclusive, and rigorous perspective on design. She believes that design should not only enhance the visual appeal of cities but also address social concerns and needs. Yanyao advocates for using objective analysis to support warm and empathetic design, employing advanced research methods to deliver trustworthy and responsible solutions.
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数据驱动的设计案例分享 | Data-Driven Design Showcase


城市高温的缓解与适应:构建以儿童为中心的清凉网络(以美国加州Stockton为案例研究)

Urban Heat Mitigation & Adaptation: Building Child-Centric Cooling Networks (Case Study: Stockton, California, USA)

该研究通过卫星遥感、人口数据和机器学习,识别高温脆弱社区,并分析儿童活动空间与热环境的关系。基于分析和调研,她提出了一套模块化设计策略——"清凉工具箱"(Cool Toolkit),包括Cool Street、Cool Hub、Cool Center、Cool Nature四个层级和24种具体措施,可根据社区不同场景需求灵活应用。通过对设计前后城市温度模拟模型的对比,这些干预措施能使区域空气温度降温10°F以上。研究不仅提供了缓解高温的技术方案,更强调以儿童需求为核心,提升城市空间的公平性与适应性。


This research employs satellite remote sensing, children population data, and machine learning to identify heat-vulnerable communities and analyze the relationship between children's activity spaces and thermal environments, proposing a modular "Cool Toolkit" design strategy with four intervention levels (Cool Street, Cool Hub, Cool Center, Cool Nature) and 24 specific adaptable measures that demonstrate over 10°F temperature reduction in urban thermal modeling while emphasizing child-centered solutions to enhance urban equity and climate adaptability.
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第一步:基于卫星遥感数据的夏季地表温度分析
Phase 1: Summer Surface Temperature Analysis Using Satellite Remote Sensing Data










第二步:儿童视角下社区尺度的高温空间识别
Phase 2: Heat-Vulnerable Space Identification at Community Scale Through Children's Perspective











第三步:儿童视角下社区尺度的清凉策略
Phase 3: Cooling Strategies at Community Scale Through Children's Lens











第四步:环境温度模拟为支撑的空间设计优化
Phase 4: Spatial Design Optimization Supported by Environmental Temperature Modeling
















数据驱动的可持续设计探索

Data-Driven Sustainable Design Explorations


数据驱动的可持续设计是基于气候变化研究的一系列城市空间设计探索。通过理论研究,数据分析,概念构建等多个模块为可持续的设计范式提供从顶层框架到技术、理论和政策的多维度支撑。
Data-driven sustainable design represents a series of urban spatial investigations grounded in climate change research. Through theoretical studies, data analysis, and conceptual development modules, it provides multidimensional support for sustainable design paradigms - spanning top-level frameworks to technical, theoretical, and policy dimensions.

这将是一个动态的,持续更新的研究与设计探索和实践过程。通过研究指导设计,通过设计验证研究结果的反复校核过程。
This constitutes a dynamic, continuously evolving process of research, design exploration, and practical implementation. It establishes an iterative calibration cycle where research informs design, and design validates research outcomes.




模块一气候变化驱动的设计研究
Module 1: Climate Change-Driven Design Exploration Research









模块二 :设计实践 1
应对在百年一遇洪水情境下导致的粮食危机
Module 2: Design Practice 1 (Addressing Food Crisis Under 100-Year Flood Scenarios)








模块二 :设计实践 2
可再生能源驱动的乡村振兴发展
Module 2: Design Practice 2 (Renewable Energy-Powered Rural Revitalization)










模块二 :设计实践 3
碳中和视角的包容性能效社区
Module 2: Design Practice 3 (Inclusive Energy-Efficiency Communities From Carbon Neutrality Perspective)