上海城市规划2025，Vol.181Issue(2)：105-112,8.DOI:10.11982/j.supr.20250214
大数据支持下公共交通导向发展的新城特征比较
Characteristics of New Towns in Transit-Oriented Development Supported by Big Data:A Comparative Study of Shanghai,Tokyo,Singapore,and Hong Kong
摘要
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/TODKey words
new town/comprehensive node cities/multi-source big data/TOD分类
建筑与水利引用本文复制引用
崔敏榆,庄宇,张灵珠,卢涵..大数据支持下公共交通导向发展的新城特征比较[J].上海城市规划,2025,181(2):105-112,8.基金项目
国家自然科学基金"面向站城协同的高密城市铁路车站地区空间构型和绩效评估方法"(编号52178047) （编号52178047）
上海市浦江人才计划"基于多源数据的轨道车站地区协同性评价——以上海为例"(编号21PJC114) （编号21PJC114）
同济大学研究生国际交流基金项目(编号2023020018)资助. （编号2023020018）
