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人民城市理念下的数字化城市体检探索 ——基于多源时空数据
叶 宇1, 黄成成2, 陈昶宇3, 韩 赟4, 陈志洋5, 孙 拓5
1.( 通讯作者):同济大学建筑与城市规划 学院,副教授,yye@tongji.edu.cn;2.同济大学建筑与城市规划学院,博士研 究生;3.同济大学建筑与城市规划学院,硕士研 究生;4.香港大学,博士研究生;5.腾讯云计算(北京)有限责任公司
摘要:
随着城市体检在城市更新与治理中的 重要性日益凸显,既有城市体检的不足也日益明 确。既有工作框架一方面存在人本化考量不足 的问题,多为自上而下的分析视角且数据时空精 度受限;另一方面缺乏数字化的通用性架构,难 以适应新时期精细化的分析需求。本研究一方 面基于2022版住建部城市体检指标体系,探索 在多源时空大数据支持下,融入人民城市理念, 拓展和优化人本化体检指标体系;另一方面探 索数字化城市体检云平台建构,满足动态监测、标准口径和实时交互需求,从而实现城市体检的理论创新、技术创新和治理创新。最后以徐汇滨 江某片区为例,展示该平台的应用。本研究为人民城市理念下的数字化城市体检提供了新思路, 是数字技术促进城市体检范式创新的有益尝试。
关键词:  城市体检  人民城市  人本化  数字化  多源时空数据
DOI:10.13791/j.cnki.hsfwest.20240306
分类号:
基金项目:国家自然科学基金面上项目(52078343);腾讯犀牛 鸟研究计划“面向城市体检与精准更新需求的TOD 指数建构”;高密度人居环境生态与节能教育部重点 实验室及上海同济城市规划设计研究院有限公司联 合自主课题(KY-2022-LH-A02)
Digital urban checkup towards people-oriented city: An exploration based on multi-sourcespatio-temporal big data
YE Yu,HUANG Chengcheng,CHEN Changyu,HAN Yun,CHEN Zhiyang,SUN Tuo
Abstract:
T he u rban c heckup, a s a c omprehensive a ssessment t ool f or u rban d evelopment and planning, has become increasingly significant in the context of urban renewal and refined governance. However, the limitations of current urban checkup methodologies are becoming increasingly evident. The primary issues include a lack of people orientation in the top-down analysis, which leads to a limited quantity and quality of indicators, as well as insufficient spatial and temporal accuracy. Additionally, the conventional static analysis methods are not equipped to handle the dynamic, standardized, and interactive demands of the digital era. To tackle these challenges, this study presents a dual-pronged approach. Firstly, it expands upon the urban checkup indicator system established by the Ministry of Housing and Urban-Rural Development in 2022. Utilizing multi-source spatio-temporal big data, the study enhances the existing system with a people-oriented perspective, thereby improving the spatial and temporal precision of the indicators to better align with the urban checkup’s people orientation requirements. The integration of new data sources such as Location-Based Services (LBS), user profiles, Points of Interest (PoIs), and built environment data allows for a more nuanced understanding of urban characteristics and citizen needs. Secondly, the study introduces a digitized urban checkup Software as a Service (SaaS) cloud platform. This platform is designed to fulfill the needs for dynamic monitoring, standard calibration, and real-time interaction, thereby facilitating innovation in urban checkup methodologies across perspectives, technologies, and governance approaches. Initially, the platform leverages dynamic Application Programming Interfaces (APIs) to access a vast array of spatial-temporal behavioral and built environment data in real-time. This enables continuous and dynamic monitoring of urban conditions, addressing the limitations of static analysis and manual data collection. Meantime, the SaaS cloud platform integrates the standardization of urban checkup calculations through the development of automated and standardized indicator operators. These operators unify the calculation methods, units, and evaluation criteria across different cities, enhancing the comparability and interpretability of the results. The platform supports a comprehensive range of analyses, from facility accessibility assessments to space quality evaluations, all while maintaining a standardized framework that allows for regional customization. Furthermore, the study emphasizes the importance of real-time interaction through the SaaS cloud platform. This approach transforms the static nature of traditional urban checkups into a dynamic and interactive process. Users can customize their analysis scopes, select different time periods, adjust indicator weights, and generatetailored urban checkup reports that reflect the unique characteristics and developmental goals of their regions. To demonstrate the application of this platform, a case study of a district in Xuhui Riverside is presented. The case study showcases how the platform can be utilized to assess a variety of indicators across different spatial scales, from neighborhoods to individual buildings. The platform’s ability to analyze real-time data provides a granular understanding of urban conditions, enabling decision-makers and planners to identify areas for improvement and develop targeted strategies for urban governance. The study concludes by highlighting the theoretical, technological, and governance innovations brought about by the digitized urban checkup approach. The people-oriented expansion and optimization of the urban checkup indicator system represent a significant theoretical advancement. Technologically, the study harnesses the power of big data and digital technologies to enhance the human-centric aspects of urban checkups. Governance-wise, the digitized platform offers a standardized yet flexible framework that can accommodate diverse urban contexts and needs. In summary, this study offers a novel approach to digitized urban checkups under the people-oriented city concept. It represents a beneficial attempt by digital technology to promote paradigm innovation in urban checkups, providing a valuable contribution to the field of urban planning and governance. The digitized urban checkup platform developed in this study stands as a testament to the potential of digital tools in enhancing the human-centric nature of urban assessments and fostering more effective and responsive urban management practices.
Key words:  urban checkup  people-oriented city  people orientation  digitization  multi-source spatio-temporal data