Study on the correlation between rail station area vitality and built environment
To enhance the vitality of metro station areas and support station area development and optimisation, this study investigates 284 metro stations in Guangzhou. Utilising Weibo check-in data to measure station area vitality, the study selected 10 built environment indicators across three dimensions. A...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-08-01
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| Series: | Journal of Asian Architecture and Building Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/13467581.2025.2540082 |
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| _version_ | 1850036591592996864 |
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| author | Wangyang Gui Wenli Wu Di Wu |
| author_facet | Wangyang Gui Wenli Wu Di Wu |
| author_sort | Wangyang Gui |
| collection | DOAJ |
| description | To enhance the vitality of metro station areas and support station area development and optimisation, this study investigates 284 metro stations in Guangzhou. Utilising Weibo check-in data to measure station area vitality, the study selected 10 built environment indicators across three dimensions. An XGBoost model was trained and validated to analyse the association between station area vitality and built environment factors. SHAP was applied to interpret this relationship, examining the influence of built environment factors, feature feedback, and interaction effects. Results indicate that, compared to other models, the XGBoost model best analyzes the association between metro station area vitality and built environment factors. Intersection density, public facility density, and enterprise density significantly impact station area vitality. All indicators, except public facility density, exhibit a nonlinear association with station vitality, and several indicators–such as public facility density, building density, and enterprise density – show clear threshold effects. Based on these findings, this study proposes station area built environment optimization strategies to promote metro station area vitality. |
| format | Article |
| id | doaj-art-0c402032ed3244d0ab818b5e51a47942 |
| institution | DOAJ |
| issn | 1347-2852 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Asian Architecture and Building Engineering |
| spelling | doaj-art-0c402032ed3244d0ab818b5e51a479422025-08-20T02:57:07ZengTaylor & Francis GroupJournal of Asian Architecture and Building Engineering1347-28522025-08-010011410.1080/13467581.2025.25400822540082Study on the correlation between rail station area vitality and built environmentWangyang Gui0Wenli Wu1Di Wu2Anhui Jianzhu UniversityAnhui Jianzhu UniversityAnhui Jianzhu UniversityTo enhance the vitality of metro station areas and support station area development and optimisation, this study investigates 284 metro stations in Guangzhou. Utilising Weibo check-in data to measure station area vitality, the study selected 10 built environment indicators across three dimensions. An XGBoost model was trained and validated to analyse the association between station area vitality and built environment factors. SHAP was applied to interpret this relationship, examining the influence of built environment factors, feature feedback, and interaction effects. Results indicate that, compared to other models, the XGBoost model best analyzes the association between metro station area vitality and built environment factors. Intersection density, public facility density, and enterprise density significantly impact station area vitality. All indicators, except public facility density, exhibit a nonlinear association with station vitality, and several indicators–such as public facility density, building density, and enterprise density – show clear threshold effects. Based on these findings, this study proposes station area built environment optimization strategies to promote metro station area vitality.http://dx.doi.org/10.1080/13467581.2025.2540082spatial vitalitybuilt environment of the station areamachine learningxgboostshap |
| spellingShingle | Wangyang Gui Wenli Wu Di Wu Study on the correlation between rail station area vitality and built environment Journal of Asian Architecture and Building Engineering spatial vitality built environment of the station area machine learning xgboost shap |
| title | Study on the correlation between rail station area vitality and built environment |
| title_full | Study on the correlation between rail station area vitality and built environment |
| title_fullStr | Study on the correlation between rail station area vitality and built environment |
| title_full_unstemmed | Study on the correlation between rail station area vitality and built environment |
| title_short | Study on the correlation between rail station area vitality and built environment |
| title_sort | study on the correlation between rail station area vitality and built environment |
| topic | spatial vitality built environment of the station area machine learning xgboost shap |
| url | http://dx.doi.org/10.1080/13467581.2025.2540082 |
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