Evaluating changes in business distribution within urban rail transit hubs in Beijing via Point of Interest (POI) data analysis (2008–2020)

IF 3.1 1区艺术学 0 ARCHITECTURE Frontiers of Architectural Research Pub Date : 2024-01-15 DOI:10.1016/j.foar.2023.12.002

Bo Wan, Dongyang Wan, Qiang Sheng

{"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}

引用次数: 0

Abstract

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.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

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）

本文以不断扩张的城市轨道交通网络和动态的城市发展为背景，重点研究北京中心城区轨道交通区域内商业兴趣点（POIs）的分布和演变。研究考察了 2008 年、2013 年、2017 年和 2020 年四个不同年份的数据，以观察商业实体的时间演变。研究确定了影响商业 POI 分布和演变的稳定解释变量，包括轨道交通的可达性、车站周边工作人口和居住人口的分布特征以及车站周边地区的建设强度。通过统计分析和模型建立，建立了相对稳定的线性回归方程，R2 值一般保持在 0.5 以上（2017 年除外）。这项研究加深了我们对轨道交通对城市商业空间的影响以及这种影响如何随着时间和城市发展变化而变化的理解。它阐明了商业数量变化与空间布局之间的相关性，为城市规划者和政策制定者提供了见解和信息。这项研究还为探索其他大城市的城市轨道交通与商业空间之间的相互作用提供了范例。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Frontiers of Architectural Research ARCHITECTURE-

CiteScore

6.20

自引率

2.90%

发文量

430

审稿时长

30 weeks

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.