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《城市交通》杂志
2016年 第3期
通过大数据促进城市交通规划理论的变革
点击量:1921

文章编号: 1672-5328(2016)03-0072-09

杨东援
(同济大学,上海200092)

摘要: 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。

关键词: 交通规划;大数据;技术创新;理论变革

中图分类号: U491.1+2

文献标识码:A

Promoting Urban Transportation Planning Theory Innovation Using Big Data

Yang Dongyuan
(Tongji University, Shanghai 200092, China)

Abstract: The revolution of urban transportation planning theory has been driven by three forces, including the pulling force from the practices, the driving force from the big data technologies, and the promoting 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 introducing 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.

Keywords: transportation planning; big data; technology innovation; theoretical innovation