{"title":"通过兴趣点（POI）数据分析评估北京城市轨道交通枢纽内商业分布的变化（2008-2020 年）","authors":"Bo Wan, Dongyang Wan, Qiang Sheng","doi":"10.1016/j.foar.2023.12.002","DOIUrl":null,"url":null,"abstract":"<div><p>This paper, set against the backdrop of expanding urban rail networks and dynamic urban development, focuses on the distribution and evolution of commercial Points of Interests (POIs) within the central urban rail transit areas of Beijing. The study examines data from four different years—2008, 2013, 2017, and 2020—to observe the temporal evolution of commercial entities. It identifies stable explanatory variables affecting the distribution and evolution of commercial POIs, which include rail transit accessibility, characteristics of the working and residential population distribution around stations, and the construction intensity in the vicinity of station areas. Through statistical analysis and model building, relatively stable linear regression equations were established, with <em>R</em><sup>2</sup> values generally maintained above 0.5 (except for 2017). The study advances our understanding of the influence of rail transit on urban commercial spaces and how this influence shifts with temporal and urban developmental changes. It elucidates the correlation between changes in the number of businesses and spatial configuration, offering insights and information for urban planners and policy makers. This research also serves as a model for exploring the interplay between urban rail transit and commercial spaces in other major cities.</p></div>","PeriodicalId":51662,"journal":{"name":"Frontiers of Architectural Research","volume":"13 2","pages":"Pages 305-318"},"PeriodicalIF":3.1000,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2095263523001097/pdfft?md5=9f34d108155723d9eefc673fdc3e96ac&pid=1-s2.0-S2095263523001097-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Evaluating changes in business distribution within urban rail transit hubs in Beijing via Point of Interest (POI) data analysis (2008–2020)\",\"authors\":\"Bo Wan, Dongyang Wan, Qiang Sheng\",\"doi\":\"10.1016/j.foar.2023.12.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper, set against the backdrop of expanding urban rail networks and dynamic urban development, focuses on the distribution and evolution of commercial Points of Interests (POIs) within the central urban rail transit areas of Beijing. The study examines data from four different years—2008, 2013, 2017, and 2020—to observe the temporal evolution of commercial entities. It identifies stable explanatory variables affecting the distribution and evolution of commercial POIs, which include rail transit accessibility, characteristics of the working and residential population distribution around stations, and the construction intensity in the vicinity of station areas. Through statistical analysis and model building, relatively stable linear regression equations were established, with <em>R</em><sup>2</sup> values generally maintained above 0.5 (except for 2017). The study advances our understanding of the influence of rail transit on urban commercial spaces and how this influence shifts with temporal and urban developmental changes. It elucidates the correlation between changes in the number of businesses and spatial configuration, offering insights and information for urban planners and policy makers. This research also serves as a model for exploring the interplay between urban rail transit and commercial spaces in other major cities.</p></div>\",\"PeriodicalId\":51662,\"journal\":{\"name\":\"Frontiers of Architectural Research\",\"volume\":\"13 2\",\"pages\":\"Pages 305-318\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-01-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2095263523001097/pdfft?md5=9f34d108155723d9eefc673fdc3e96ac&pid=1-s2.0-S2095263523001097-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers of Architectural Research\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2095263523001097\",\"RegionNum\":1,\"RegionCategory\":\"艺术学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers of Architectural Research","FirstCategoryId":"1087","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2095263523001097","RegionNum":1,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ARCHITECTURE","Score":null,"Total":0}
Evaluating changes in business distribution within urban rail transit hubs in Beijing via Point of Interest (POI) data analysis (2008–2020)
This paper, set against the backdrop of expanding urban rail networks and dynamic urban development, focuses on the distribution and evolution of commercial Points of Interests (POIs) within the central urban rail transit areas of Beijing. The study examines data from four different years—2008, 2013, 2017, and 2020—to observe the temporal evolution of commercial entities. It identifies stable explanatory variables affecting the distribution and evolution of commercial POIs, which include rail transit accessibility, characteristics of the working and residential population distribution around stations, and the construction intensity in the vicinity of station areas. Through statistical analysis and model building, relatively stable linear regression equations were established, with R2 values generally maintained above 0.5 (except for 2017). The study advances our understanding of the influence of rail transit on urban commercial spaces and how this influence shifts with temporal and urban developmental changes. It elucidates the correlation between changes in the number of businesses and spatial configuration, offering insights and information for urban planners and policy makers. This research also serves as a model for exploring the interplay between urban rail transit and commercial spaces in other major cities.
期刊介绍：
Frontiers of Architectural Research is an international journal that publishes original research papers, review articles, and case studies to promote rapid communication and exchange among scholars, architects, and engineers. This journal introduces and reviews significant and pioneering achievements in the field of architecture research. Subject areas include the primary branches of architecture, such as architectural design and theory, architectural science and technology, urban planning, landscaping architecture, existing building renovation, and architectural heritage conservation. The journal encourages studies based on a rigorous scientific approach and state-of-the-art technology. All published papers reflect original research works and basic theories, models, computing, and design in architecture. High-quality papers addressing the social aspects of architecture are also welcome. This journal is strictly peer-reviewed and accepts only original manuscripts submitted in English.
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