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Journal of Chinese

                                                          Architecture and Urbanism




                                        ORIGINAL ARTICLE
                                        Development of a machine-simulated human

                                        scoring model for assessing child-friendly street
                                        environments: A case study of Sham Shui Po,

                                        Hong Kong SAR, China



                                        Xinyu Liu †  , Pengyu Lu * , and Jeroen van Ameijde*
                                                            †
                                        School of Architecture, The Chinese University of Hong Kong, Hong Kong SAR, China
                                        (This article belongs to the Special Issue: Chinese Cities of Tomorrow: Computing and Prototyping
                                        Intelligent Forms of Future Urbanism)





            †These authors contributed equally   Abstract
            to this work.
            *Corresponding authors:     With a growing interest in liveable cities, scholars and urban planners are increasingly
            Pengyu Lu                   studying the characteristics of child-friendly cities, including the ability to walk
            (periispengyu@link.cuhk.edu.hk);   and move freely in public spaces. While machine learning techniques and street
            Jeroen van Ameijde
            (jeroen.vanameijde@cuhk.edu.hk)  view imagery analysis have enabled the systematic analysis of streets, they have
                                        not yet been applied to assess street environments from a child’s perspective. This
            Citation: Liu, X., Lu, P., & van
            Ameijde, J. (2025). Development   study explores the use of deep learning models to address this gap by developing
            of a machine-simulated human   a machine-simulated human scoring model to assess health and safety indicators
            scoring model for assessing child-  in urban streets. Using a high-density, old urban district in Hong Kong SAR, China,
            friendly street environments: A case
            study of Sham Shui Po, Hong Kong   as a case, the study used semantic segmentation to analyze street environmental
            SAR, China. Journal of Chinese   features and extract elements related to safety, such as greenery, vehicles, and fences.
            Architecture and Urbanism, 7(1):   Subsequently, the model generated safety ratings, which were compared with
            3578.
            https://doi.org/10.36922/jcau.3578   scores provided by volunteer caregivers. The results indicate that natural elements
                                        and fences enhance safety, whereas an excess of buildings diminishes it. In contrast
            Received: May 6, 2024       to European cities, where high visibility and larger sky proportions are considered
            1st revised: July 8, 2024   beneficial for health, these factors were less relevant in the high-density, tropical
            2nd revised: July 21, 2024  context of Hong Kong. This analysis highlights the robustness and efficiency of the
                                        model, which can assist researchers in other cities in collecting empirical user rating
            Accepted: July 30, 2024     data and informing strategies for more child-friendly urban planning.
            Published online: November 18,
            2024
                                        Keywords: Child-friendly cities; Street perception; Street view imagery segmentation;
            Copyright: © 2024 Author(s).
            This is an open-access article   Machine-simulated human scoring model
            distributed under the terms of the
            Creative Commons Attribution-
            Non-Commercial 4.0 International
            (CC BY-NC 4.0), which permits all
            non-commercial use, distribution,   1. Introduction
            and reproduction in any medium,
            provided the original work is   As contemporary cities continue to expand in size and complexity, their internal
            properly cited.             reorganization often leads to inequalities in neighborhood characteristics, with varying
            Publisher’s Note: AccScience   physical attributes and differing economic and social prospects for communities
            Publishing remains neutral with   (Salesses et al., 2013). Children, comprising nearly 30 percent of the world’s population
            regard to jurisdictional claims in
            published maps and institutional   (UNICEF, 2023), experience a range of impacts from their environments. The child-
            affiliations.               friendliness of streets is an important factor in promoting their physical health and


            Volume 7 Issue 1 (2025)                         1                        https://doi.org/10.36922/jcau.3578
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