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Journal of Chinese

                                                          Architecture and Urbanism




                                        ORIGINAL ARTICLE
                                        Data-driven insights into age-friendly smart

                                        community development in China: A case study
                                        of Beijing



                                        Pokai Chuang  and Yuan Lai *

                                        Department of Urban Planning, School of Architecture, Tsinghua University, Beijing, China
                                        (This article belongs to the Special Issue: Chinese Cities of Tomorrow: Computing and Prototyping
                                        Intelligent Forms of Future Urbanism)




                                        Abstract

                                        The aging society has prompted a re-evaluation of community development
                                        strategies to better accommodate the needs of older populations. In this context,
                                        the concept of age-friendly smart communities has gained prominence, aiming to
                                        leverage technologies to enhance the quality of life for older residents. This article
                                        summarizes a general concept of an age-friendly community within the framework
                                        of smart city development in China. It then explores residential compounds in Beijing
                                        to investigate their potential for implementing age-friendly smart communities.
                                        Through data description and classification, the spatial distribution and local
                                        characteristics of residential compounds were examined.  The results highlight
            *Corresponding author:      housing compounds with the potential to become age-friendly smart communities,
            Yuan Lai                    based on factors such as building age, population demographics, and typological
            (yuanlai@tsinghua.edu.cn)   differences reflecting community conditions and surrounding resources. Overall,
            Citation: Chuang, P. & Lai, Y.   by  examining  the  intersection  of  the  aging  population,  urban  regeneration,  and
            (2024). Data-driven insights into   technology integration, this article contributes to understanding how data-driven
            age-friendly smart community   insights can shape the evolution of smart communities in an aging society.
            development in China: A case
            study of Beijing. Journal of Chinese
            Architecture and Urbanism, 6(3),
            1754.                       Keywords: Smart communities; Urban informatics; Aging society; Urban planning
            https://doi.org/10.36922/jcau.1754
            Received: September 4, 2023
            Accepted: January 3, 2024   1. Introduction
            Published Online: May 27, 2024  The global acceleration in the growth of the aging population has emerged as a
            Copyright: © 2024 Author(s).   predominant demographic feature worldwide, raising the concerns of aging communities
            This is an open-access article   in urban areas. According to the World Bank’s 2022 statistics on the total fertility rate
            distributed under the terms of the
                                                                                                   th
            Creative Commons Attribution-  for countries and economies, China’s total fertility rate (1.16) ranks 199  out of 208
            Non-Commercial 4.0 International   countries and regions (The World Bank, 2022). The National Bureau of Statistics of
            (CC BY-NC 4.0), which permits all   China further reveals that the annual number of births was 9.56 million, with a birth
            non-commercial use, distribution,
            and reproduction in any medium,   rate of 6.77‰, while the death toll reached 10.41 million, indicating a negative natural
            provided the original work is   growth rate that is increasingly difficult to reverse (National Bureau of Statistics of China,
            properly cited.             2023). Meanwhile, China has been actively exploring smart cities and communities in
            Publisher’s Note: AccScience   both research and practice through policy-driven initiatives, the establishment of new
            Publishing remains neutral with   development goals, and technological innovations. Cities including Beijing, Shanghai,
            regard to jurisdictional claims in
            published maps and institutional   Guangzhou, and Shenzhen are showing growing interest in the development of smart
            affiliations.               communities to improve quality of life, social equity, and adaptation to an aging society.

            Volume 6 Issue 3 (2024)                         1                        https://doi.org/10.36922/jcau.1754
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