土地利用形态空间布局差异是城市交通产生的根源，而交通排放污染是当前我国空气质量恶化的主要来源。探索城市土地利用、交通和空气质量三者之间的关系，有助于从根源上掌握和改变交通需求的生成强度、空间分布特征，从而实现优化城市交通空间结构、减少交通排放和提高空气质量。本项目拟结合我国当前划背景，采用双层多目标优化理论和地理学空间智能方法，从微观定量角度构建土地利用（Land Use）、交通(Transporation) 和空气质量（Air Quanlity）一体化LTA模型，实现 GIS 可视化仿真，并研究其在我国城市规划应用领域及其应用的关键技术。通过LTA模型对低碳排放导向的空间布局、TOD模式和道路收费等策略进行情景模拟、分析评估、优化，并提出其配套政策建议。本研究旨在丰富城市低碳规划研究理论，为我国传统的“经验规划、拍脑袋规划”提供定量、科学的理论参考依据。

Difference in the spatial distribution of urban land use is the root cause of urban transportation, while traffic emission is a main source of deterioration of air pollution in Chian. To better understand both generation intensity and spatial distribution characteristics of traffic demand, investigating the interaction among Land use, Transportation and Air quality (LTA) could optimize urban spatial structure, remedy traffic emission and improve air quality. Based on Chinese current urban planning experience, this project aims to develop an integrated LTA model at a microscopic quantitative level. The proposed LTA model employs a bi-level multi-objective optimization and geography spatial intelligence methodologies, and implementation of GIS visualization and simulation. The LTA model is able to analyze, evaluate, and optimize the spatial layout and provide political receommendations for low-carbon emissions, Transit Oriented Development (TOD) strategy and road pricing management. This study is expected to enrich the theory of low-carbon urban planning, thereby providing the required quantitative, scientific, theoretical base for the traditional "experience-based planning" and "racking-brains planning" in China .