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      An integrated cognitive framework for understanding modern cities

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          Abstract

          Modern urban development urgently requires a new management concept and operational mechanism to encourage the exploration of frameworks for cognizing and studying urban characteristics. In the present study, modern cities are first understood from the perspective of their basic theoretical evolution. Each modern city is seen as a complex system of organic life forms. Urban information science propels modern urban research in the direction of rationality. This paper also presents the new characteristics of modern cities (and how they have changed) in relation to external structure and internal functions. It examines the generation of urban problems and governance adaptability. On this basis, this paper proposes a cognitive model for studying modern cities, integrating basic theoretical, methodological support, and governance systems. It discusses the basic rationale and core idea for constructing each of these three systems. The research aims to guide and implement modern urban construction and sustainable development in a more effective way.

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          Most cited references39

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          A unified theory of urban living.

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            Affect and Creativity at Work

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              The New Science of Cities

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                Author and article information

                Contributors
                guorz@szu.edu.cn
                Journal
                Comput Urban Sci
                Comput Urban Sci
                Computational Urban Science
                Springer Nature Singapore (Singapore )
                2730-6852
                7 October 2022
                7 October 2022
                2022
                : 2
                : 1
                : 36
                Affiliations
                [1 ]Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen, 518060 China
                [2 ]GRID grid.453137.7, ISNI 0000 0004 0406 0561, Technology Innovation Center for Territory Spatial Big-Data, Ministry of Natural Resources, ; Shenzhen, 518060 China
                [3 ]GRID grid.453137.7, ISNI 0000 0004 0406 0561, Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, ; Shenzhen, 518060 China
                Article
                65
                10.1007/s43762-022-00065-8
                9542450
                abaa1280-71f2-4b51-a61a-4f25ea876076
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 15 August 2022
                : 27 September 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 42101427
                Award Recipient :
                Categories
                Opinion Paper
                Custom metadata
                © The Author(s) 2022

                theoretical system,governance system,modern city,characteristic recognition,integrated framework

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