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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1, 陈昶宇1, 韩赟2, 陈志洋3, 孙拓3
1.同济大学;2.香港大学;3.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,人本化,数字化,精细化,多源时空数据
DOI:
分类号:TU98
基金项目:国家重点研发计划,国家自然科学基金项目(面上项目,重点项目,重大项目)
Digital city examination towards people"s city: an exploration based on multi-source spatiotemporal big data
YE Yu,HUANG Chengcheng,CHEN Changyu,HAN Yun,CHEN Zhiyang,SUN Tuo
Abstract:
The urban checkup, as a comprehensive assessment tool for urban development 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 generate tailored 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:  City  examination, People  orientation, Digitization, High-resolution, Multi-source  spatio-temporal  data