通过大数据促进城市交通规划理论的变革

城市交通规划实践需求所产生的拉动力，大数据分析技术所产生的推动力，相关基础学科研究成果所产生的促进力，将推动城市交通规划理论发生变革。在继承传统技术方法的基础上，通过建立在证据理论基础上的决策判断概念框架，将大数据分析技术、模型分析技术和仿真分析技术纳入一个统一的分析模板，通过多维观察角度尽可能全面地表征问题，并将在“适时响应”机制基础上建立规划过程管控模式，这一系列的探索勾画出一个可供讨论的新理论框架的雏形。

Promoting Urban Transportation Planning Theory Innovation Using Big Data

The revolution of urban transportation planning theory has been driven by three forces, includ-ing the pulling force from the practices, the driving force from the big data technologies, and the promot-ing force from the contributions of interdisciplinary subjects. Based on the traditional methodologies and technologies, this paper tries to integrate big data technology, demand models, and simulation by introduc-ing an evidence theory-based decision-making framework. The paper further contributes to develop a new theoretical framework which aims to set up an adaptive-response-based process management module for urban transportation planning through a multi-dimensional problem diagnose.