[1] HU Mingxing, WANG Chunxin,. Exploring the spatially and temporally varying impacts of built environment factors on rail transit ridership [J]. Journal of Southeast University (English Edition), 2025, 41 (2): 235-243. [doi:10.3969/j.issn.1003-7985.2025.02.013]
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Exploring the spatially and temporally varying impacts of built environment factors on rail transit ridership(
)
时空维度下建成环境对地铁客流影响研究
)Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]
- Volumn:
- 41
- Issue:
- 2025 2
- Page:
- 235-243
- Research Field:
- Architecture
- Publishing date:
- 2025-06-17
Info
- Title:
- Exploring the spatially and temporally varying impacts of built environment factors on rail transit ridership
- 时空维度下建成环境对地铁客流影响研究
- Author(s):
- HU Mingxing, WANG Chunxin
- School of Architecture, Southeast University, Nanjing 210096, China
- Keywords:
- built environment; rail transit ridership; spatiotemporal analysis; geographically and temporally weighted regression(GTWR)
- PACS:
- TU98
- DOI:
- 10.3969/j.issn.1003-7985.2025.02.013
- Abstract:
- This study examined the influence of the built environment surrounding rail stations on rail transit ridership and its spatiotemporal variations, aiming to enhance rail transit operational efficiency and inform station planning and development. Data from 159 metro stations in Nanjing, collected over a 14-d period, were analyzed to identify changes in weekday and weekend ridership patterns. The analysis included explanatory variables grouped into three categories: urban spatial variables, socioeconomic variables, and transit service variables. A geographically and temporally weighted regression (GTWR) model was developed, and its performance was compared with that of ordinary least squares (OLS) and geographically weighted regression (GWR) models. The results demonstrated that the GTWR model outperformed others in analyzing the relationship between rail transit ridership and the built environment. In addition, the coefficients of explanatory variables showed significant variation across spatiotemporal dimensions, revealing distinct patterns. Notably, the influence of commuter flows led to more pronounced temporal heterogeneity in the coefficients observed on weekdays. These findings offer valuable insights for optimizing urban public transportation systems and advancing integrated urban rail development.
- 探究轨道交通站点周边建成环境对地铁客流量的影响及其时空变化特征，有助于提升轨道交通运行效率，指导站点规划与开发。基于南京市14 d内159个地铁站的地铁刷卡数据，对工作日和周末客流量变化规律进行解释，解释变量包含城市空间变量、社会经济变量和站点技术服务变量3类。建立时空地理加权回归（GTWR）模型，将模型拟合结果与普通最小二乘（OLS）模型和地理加权回归（GWR）模型进行比较。研究结果表明，GTWR模型解释效果更优，更适用于研究城市建成环境和客流量的关系；解释变量的影响系数在不同时空维度下变化较大，并呈现一定的规律；受通勤客流的影响，工作日的影响系数表现出更显著的时间异质性。该结论可为优化城市公共交通系统和促进站城一体化建设提供借鉴与参考。
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Memo
- Memo:
-
Received 2024-07-03,Revised 2024-12-16.
Biography:Hu Mingxing (1968—), male, doctor, professor, humingxing@seu.edu.cn.
Foundation item:The National Key Research and Development Program of China (No. 2022YFC3800201).
Citation:HU Mingxing,WANG Chunxin.Exploring the spatially and temporally varying impacts of built environment factors on rail transit ridership[J].Journal of Southeast University (English Edition),2025,41(2):235-243.DOI:10.3969/j.issn.1003-7985.2025.02.013.DOI:10.3969/j.issn.1003-7985.2025.02.013