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苏世亮、亢孟军等的论文在JOURNAL OF TRANSPORT GEOGRAPHY刊出
发布时间:2022-11-08 17:31:11     发布者:易真     浏览次数:

标题: Deciphering the influence of TOD on metro ridership: An integrated approach of extended node-place model and interpretable machine learning with planning implications

作者: Su, SL (Su, Shiliang); Wang, ZL (Wang, Zhuolun); Li, BZ (Li, Bozhao); Kang, MJ (Kang, Mengjun)

来源出版物: JOURNAL OF TRANSPORT GEOGRAPHY : 104 文献号: 103455 DOI: 10.1016/j.jtrangeo.2022.103455 出版年: OCT 2022

摘要: Many global high-density cities have embraced transit-oriented development (TOD) strategies around metro stations in a strong push toward promoting transit trips. However, the general TOD principles must be adapted to a variety of local features. Thus, conducting a baseline study that deciphers the locality-specific differences and similarities in the influence of TOD on metro ridership is of paramount importance. Using the case of Shanghai in China, this paper demonstrated a novel approach to unveiling the locality-specific influence of TOD on metro ridership that integrated the node-functionality-place model with interpretable machine learning. By exploring a wide range of explanatory variables, we discovered that the relative importance of TOD structural factors (e.g., node, place and functionality) and neighborhood sociodemographics as well as their interactions presented great spatial and temporal heterogeneity for boarding and alighting on weekdays and weekends. Among the TOD structural factors, functionality was of the highest importance, and a greater contribution was observed within the central districts during peak hours. Regarding the interactions among the TOD structural factors, the interaction between node and functionality presented the highest relative importance, followed by that between place between functionality and that between node and place. Additionally, neighborhood sociodemographics also accounted for a noticeable contribution, especially in the outskirts. Based on the locality-specific estima-tions, the affinity propagation clustering algorithm was further used to cluster the TODs into difference groups as nuanced representations of the TOD-metro ridership relationships. The findings refreshed the knowledge base concerning the spatiotemporal heterogeneity in the nonlinear influence of TOD on metro ridership and provided new insights into spatial planning. The proposed approach showed high computational feasibility with strong theoretical underpinnings and thus offered broad potential applications into other high-density cities worldwide.

作者关键词: Transit -oriented development; Metro ridership; Random forest regression; Shapley additive explanations; Nonlinear association

地址: [Su, Shiliang; Wang, Zhuolun; Li, Bozhao; Kang, Mengjun] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.

[Kang, Mengjun] 129 Luoyu Rd, Wuhan, Hubei, Peoples R China.

通讯作者地址: Kang, MJ (通讯作者),129 Luoyu Rd, Wuhan, Hubei, Peoples R China.

电子邮件地址: shiliangsu@whu.edu.cn; mengjunk@whu.edu.cn

影响因子:5.899

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