大数据支持下公共交通导向发展的新城特征比较——以上海、东京、新加坡、香港为例
Characteristics of New Towns in Transit-Oriented Development Supported by Big Data: A Comparative Study of Shanghai, Tokyo, Singapore, and Hong Kong
崔敏榆
同济大学建筑与城市规划学院 博士研究生
庄 宇(通信作者)
同济大学建筑与城市规划学院 教授,博士生导师 arch-urban@163.com
张灵珠
同济大学建筑与城市规划学院 高密度人居环境生态与节能教育部重点实验室 副教授,硕士生导师
卢 涵
同济大学建筑与城市规划学院 硕士研究生
摘要: 在大运量城市轨道交通的支持下,建设新城成为超大城市优化城镇空间布局、缓解城市人口与用地压力的有力手段。上 海作为我国的超大城市之一,在新一轮城市建设中提出了将五个新城建设成为独立的综合性节点城市的新要求。为了 更好地引导未来上海新城的建设与规划,选取东京、新加坡、香港3个亚洲城市中不同发展类型的新城与上海的松江新 城进行城市建成环境的特征比较。利用多源大数据对不同新城的建成环境进行量化及发展特征评估,探究不同发展类 型的新城的建成环境的异同,以了解上海新城的发展现状及其与发展成熟的新城间的差异。最后结合上海新城的规划 目标,为上海新城发展成为独立的综合性节点城市的目标提出优化策略与建议。
Abstract: Supported by high-capacity urban rail transit, building new towns has become a powerful means for mega-cities to optimize urban spatial layout and alleviate the pressure of population and land use. Shanghai as one of the mega cities in China, has proposed the new requirement of constructing 5 new towns as independent comprehensive node cities. In order to guide the future of Shanghai's new town construction and planning, this paper selects 6 new towns of different development types, from Singapore, Tokyo, and Hong Kong to make comparisons with Shanghai's Songjiang New Town in terms of urban built environment characteristics. By quantifying the built environment of different new towns and assessing their overall development characteristics using multi-source big data, this study explores the similarities and differences in the built environment of new towns and seeks to understand the development status of Shanghai's new towns and the differences with other Asian new cities. Finally, combined with the planning goals of Shanghai's new towns, optimization strategies and suggestions are proposed to achieve the goal of developing Shanghai's new towns into independent comprehensive cities.
关键词:新城;综合性节点城市;多源大数据;TOD
Keyword: new town; comprehensive node cities; multi-source big data; TOD
中图分类号:TU984
文献标识码: A
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