Digital urban checkup towards people-oriented city:An exploration based on multi-source spatio-temporal big data
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.
urban checkuppeople-oriented citypeople orientationdigitizationmulti-source spatio-temporal data
国家科技期刊平台
NSTL
万方数据
