Under the background of the integration of multiple regulations, there is an urgent need for the coordinated optimization of transportation planning and land use integration in the aspects of urban overall planning, land use overall planning, and comprehensive transportation system planning. In order to achieve this purpose, at the macro level, this paper uses the DEMTEL model to simplify the factors affecting the interaction between the two, and establishes an interactive evaluation model between traffic and land use through non-parametric statistical analysis DEA. Then, the efficiency value of the evaluation result is used as the output value of BP neural network to learn, and the prediction model of traffic planning and land use coordination degree is established. Through the analysis of the prediction results, the key factors can be purposefully adjusted to make necessary preparations for the collaborative optimization of the two.

在多规融合的背景下，迫切需要在城市总体规划、土地利用总体规划、交通系统综合规划等方面进行交通规划和土地利用一体化的协调优化。为达到这一目的，本文在宏观层面采用DEMTEL模型简化影响两者交互作用的因素，通过非参数统计分析DEA建立交通与土地利用交互评价模型。然后将评价结果的效率值作为BP神经网络的输出值进行学习，建立交通规划与土地利用协调度预测模型。通过对预测结果的分析，