交通数据分析决策下的地下空间规划方法探索

[摘　要]以地铁为代表的地下交通基础设施建设是城市地下空间大规模综合开发的重要基础，交通功能已成为地下空间开发的主导功能，围绕地铁站形成的地下步行交通系统是城市立体交通系统的重要组成部分。以往的地下空间规划更多的是采用“经验判断”“定性分析”等方法进行设计，对地下空间交通主导功能的研究缺位，导致地下空间建设在完成之后才发现交通功能不全、交通空间不足及交通组织混乱等问题，尤其是在地铁站等交通敏感地区，无法实现交通引导地下空间综合开发的初始理念。文章重点关注地铁站使用者的需求，运用“以行定形”的规划理念，通过交通数据分析和行人微观仿真两大技术手段，构建满足地铁站周边交通功能需求以及行人高效舒适体验的地下步行系统。
[关键词]数据分析；行人仿真；地下空间；以行定形；理性规划
[文章编号]1006-0022(2018)07-0071-06　[中图分类号]TU984.11+3　[文献标识码]B
[引文格式]王其东．交通数据分析决策下的地下空间规划方法探索[J]．规划师，2018(7)：71-76．

Underground Space Planning Based On Traffic Data Analysis/Wang Qidong
[Abstract] Underground transportation infrastructure represented by subway is an important foundation for large-scale comprehensive development of urban underground space. Traffic function has become the leading function of underground space development. The underground pedestrian traffic system around the subway station is an important part of the city’s three-dimensional traffic system. Underground space planning usually adopts empirical and qualitative methods, which has resulted in traffic problems and failure of comprehensive underground development. Based on subway users’ needs, the paper adopts “shape by flow” concept, makes traffic data analysis and pedestrian simulation, establishes a high efficient and comfortable underground pedestrian system that meets traffic needs of subway stations.
[Key words]  Data analysis, Pedestrian simulation, Underground space, Shape by flow, Rational planning