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Investigating the Nonlinear Effect of Built Environment Factors on Metro Station-Level Ridership under Optimal Pedestrian Catchment Areas via the Machine Learning Method

Exploring the built environment factor’s impact on metro ridership can help develop metro station area planning strategies. This is in order to compensate for the shortcomings of previous studies, which mostly used all uniform pedestrian catchment areas (PCA) around metro stations. Beijing was divid...

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Principais autores: Zhenbao Wang, Shihao Li, Yongjin Li, Dong Liu, Shuyue Liu, Ning Chen
格式: Artigo
语言:Inglês
出版: MDPI AG 2023-11-01
丛编:Applied Sciences
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在线阅读:https://www.mdpi.com/2076-3417/13/22/12210
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