Data-driven Territorial Space Planning:Theory,Paradigm and Trends
The purposes of this study are to explore the relationship between new data and territorial space planning under the influence of technological changes,and to deeply analyze the theoretical basis,basic concepts,logical system,main paradigms and essential characteristics of data-driven planning.It provides theoretical reference and decision-making basis for building a new pattern of territorial space governance for the Chinese path to modernization facing the harmonious coexistence of human and nature in the future.The research methods include literature review and systematic analysis.The result shows that 1)data-driven planning is an important mode that achieves the acquisition,screening,analysis,mining,simulation and prediction of multi-source heterogeneous data through models and algorithms,and achieves the full process,full chain,and all-round quantification of territorial space planning.It has the 3S characteristics,which are systematic,scientific,and substantive.2)Data-driven planning follows three logical systems:a natural space based on a process optimization of"total quantity-incremental quantity-stock quantity-flow quantity-quality",a social space based on a multidimensional composite of"flow pattern-business format-form",and a digital space based on a technical support of"digitization-intelligence-wisdom".3)Data-driven planning can be divided into four paradigms:full-factor collaborative driving,multi temporal-spatial scale driving,full lifecycle driving,and diversified scene driving.Its essence is to effectively link and seamlessly connect self-occurring planning and human-guided planning by using data elements,which is a planning that pursues harmonious coexistence between humans and nature.And it presents the main characteristics of comprehensive perception,adaptive learning,and feedback governance.In conclusion,facing the future development trend of digital technology,we should strengthen the combination between big data and small data,new data and old data,and the identification between real data and fake data to improve the comprehensiveness and effectiveness of data-driven planning.In addition,we should strengthen the combination between generation and composition and tradition and emerging,to further reflect the core values and ultimate goals of data-driven planning that are"people-oriented,harmonious coexistence".
data driventerritorial space planningtheoretical basismain paradigmsfuture trends
万方数据
维普
