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论文标题：

期刊：

作者：Bo Wan, Dongyang Wan, Qiang Sheng

发表时间：April 2024

DOI：

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FoAR是由高等教育出版社和东南大学建筑学院联合主办的全英文学术期刊

建筑学 / 城乡规划 / 风景园林

本刊已被 A&HCI / CSCD / Scopus / DOAJ / CSTPCD 收录

01、论 文 题 目

Manuscript Title

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

基于兴趣点(POI)数据分析的北京城市轨道交通枢纽商业分布变化评估(2008-2020)

02、作 者

Authors

Bo Wan, Dongyang Wan, Qiang Sheng*

School of Architecture and Design, Beijing Jiaotong University, Beijing 100044, China

03、论 文 摘 要

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.

本文以城市轨道交通网络扩张和城市动态发展为背景，聚焦北京市中心城市轨道交通区域内商业兴趣点 (POIs) 的分布与演变。研究分析了2008年、2013年、2017年和2020年四个不同年份的数据，以观察商业实体随时间的演变。研究确定了影响商业兴趣点分布与演化的稳定解释变量，包括轨道交通的可达性、车站周围工作与居住人口的分布特征，以及车站附近的施工强度。通过统计分析和模型构建，建立了相对稳定的线性回归方程，R²值普遍维持在0.5以上 (2017年除外)。该研究推进了我们对轨道交通对城市商业空间影响的理解，以及这种影响如何随着时间及城市发展而变化的认识。它阐明了商业数量变化与空间配置之间的相关性，为城市规划者和政策制定者提供了见解和信息。此外，该研究还为探索其他主要城市中轨道交通与商业空间的相互作用提供了一个模型。

04、关 键 词

Keywords

Urban rail transit areas / 城市轨道交通区

Spatial configuration / 空间组构

Distribution and evolution of commercial POIs / 商业兴趣点的分布与演变

05、章 节 标 题

Sections Title

1. Introduction / 引言

2. Literature review / 文献综述

3. Research content and methodology / 研究内容和方法

3.1. Research area / 研究区域

3.2. Research methodology / 研究方法

3.3. Exploratory indicators selection / 探索性指标选择

4. Conclusion / 结论

4.1. Distribution characteristics and evolution trends of commercial entities in central urban station areas / 中心城区车站区域商业实体分布特征及演变趋势

4.2. Interpretation of the regression model / 回归模型的解释

4.3. Conclusion summary / 结论总结

5. Discussion / 讨论

5.1. Stability of explanatory variables and their role in urban development / 解释变量的稳定性及其在城市发展中的作用

5.2. Identification and analysis of annual variability / 年变化的识别与分析

5.3. Inferring potential causes of change / 推断变化的潜在原因

5.4. Significance for urban planning and policy formulation / 对城市规划和政策制定的意义

06、主 要 插 图

Illustrations

▲ 图一：研究范围：本文以北京市中心位于三环内(含三环)的93个地铁站周边区域为研究对象，时间覆盖2008年、2013年、2017年和2020年。 © 本文作者

▲ 图二：北京轨道交通站点和线路变化(2008年、2013年、2017年和2020年)。 © 本文作者

▲ 图三：2008年、2013年、2017年和2020年，地铁站点区域600米半径内商业实体数量变化及核密度分析。 © 本文作者

▲ 图四：北京轨道交通车站拓扑结构计算。 © 本文作者

▲ 图五：北京轨道交通站点周边路网空间结构研究。 © 本文作者

07、作 者 介 绍

Authors’ Information

Bo Wan

Assistant Professor

School of Architecture and Design

Beijing Jiaotong University, China

Ph.D., Assistant Professor at the School of Architecture and Design, Beijing Jiaotong University, member of the Digital City Committee of the Chinese Society for Urban Studies, standing director of the Rammed Earth Construction Branch of the Architectural Society of China, and holds a Ph.D. in Urban Design from Tsinghua University. His main research directions include sustainable space research and design theories driven by data intelligence, focusing on cross-scale spatial structure characterization, measurement, and related studies. He also explores sustainable space design methods and creative practices driven by artificial intelligence (AIGC+), as well as educational spaces and urban innovation development. He has led and participated in multiple national and provincial-level fund projects, and has published research outcomes, including "School District Space in Beijing City" by Tsinghua University Press.

Dongyang Wan

Master of Architecture

School of Architecture and Design

Beijing Jiaotong University, China

Qiang Sheng

Professor / Head of the Department of Architecture

School of Architecture and Design

Beijing Jiaotong University, China

The main research areas include quantitative spatial analysis of land use function distribution based on multi-source big data applications of spatial syntax models, and research on neighborhood vitality supported by data spatial models, along with data-driven urban design and renewal practices. In his research, Sheng Qiang has consistently focused on the development and changes of self-organized small businesses such as food markets, applying data-driven spatial analysis tools like spatial syntax to discover patterns in the distribution of commercial and traffic flows in space to guide design. Academically, he has led one and participated in seven National Natural Science Foundation of China projects, published over 30 papers as the first author in both domestic and international core journals, and organized the first Chinese Spatial Syntax Symposium and the 12th International Space Syntax Symposium. In practical projects, serving as a senior consultant at the Beijing office of the UK Space Syntax firm, he has led more than ten architectural and planning design consultancy projects and is responsible for the training courses of Space Syntax Company in China.

08、原 文 阅 读

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