【摘要】 本文探索了生态优先的地段适建区及其容量配置分析与设计方法，旨在回应新时期城镇空间高质量发展诉求，促进低碳发展，提升室外环境舒适度。研究以生态优先和气候适应为导向，以“要素认知—适建分级—指标配置—评估验核”为路径，建立了多维综合的适建性相关要素及其系统框架，提出了基于适建要素价值评估的适建范围分级方法、基于正负面建设条件的高度与容量评估方法、科学的方案评价验核及反馈优化机制。研究成果通过科学、精细地布局城镇建设组团并配置容量，为平衡生态安全与土地开发效率提供了工作思路和方法技术，具有重要的理论意义与实践价值。更多还原

【Abstract】 From the site selection and construction of ancient cities to the design and building of traditional architecture, China has historically demonstrated remarkable wisdom in adapting to ecological and climatic conditions under limited technological constraints. However, rapid urbanization has disrupted existing ecosystems, exerting a significant impact on urban climate. Analyzing and evaluating the construction suitability of land has become a critical foundation for achieving harmony between human activities and the natural environment. From an urban design perspective, the study of construction suitability must go beyond the two-dimensional boundaries and scales of land parcels to also include three-dimensional spatial characteristics. Accurate assessments of construction suitability are essential for balancing ecological security and development efficiency, and they serve as a fundamental component in refined urban design strategies for development-oriented areas.Guided by the principles of ecological priority and climate adaptation, this study follows a methodological framework of "element recognition—suitability classification—indicator configuration—evaluation and verification". It establishes a multi-dimensional and integrated system of construction suitability factors, proposing a classification method for suitability scope based on factor value assessment, an evaluation method for height and capacity based on both favorable and restrictive construction conditions, and a scientific mechanism for scheme evaluation, verification, and feedback optimization.Regarding element recognition, the study develops a systematic approach to identifying and understanding a wide array of construction suitability-related elements. Using digital tools, planning data, and field investigations, it identifies and synthesizes key factors including natural ecology, built environment, historical urban patterns, and physical site conditions, while analyzing how each element influences the urban environment and its associated value.For the assessment of construction suitability, the study proposes a graded classification method based on the value assessment and overlay integration of various factors. Techniques include cold island effect evaluation by using the ENVI platform, multi-factor assessment through overlay mapping and weighted analysis, suitability zoning based on factor values, and optimization of development cluster layouts through wind and thermal environment simulations. These methods enable a precise judgment of land suitability, thereby reconciling ecological preservation with development goals.For evaluation and optimization, the study introduces a feedback mechanism that integrates multidisciplinary assessment and verification. With support from digital technologies, this mechanism combines transportation evaluation, industrial and economic feasibility analysis, and physical environment simulations to enhance the rigor and scientific basis of spatial planning alternatives and design optimization.Overall, this research provides a methodological and technical framework for balancing ecological safety and land development efficiency through the scientific and precise planning of urban development clusters and capacity allocations. It holds significant theoretical and practical value. The specific outcomes include four invention patents, six software copyrights, and nine academic papers published in major domestic and international journals. The methodology has also been applied to more than 20 key urban design projects, such as the Urban Design of Nanjing Eastern District Core Area and the Integrated TOD Urban Design for the Core Area of Suzhou Science and Technology Town, earning accolades including the Second Prize for National Outstanding Urban Planning and Design.更多还原