Deviation of Peak Hours for Urban Rail Transit Stations: A Case Study in Xi’an, China
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Cited by:
- Peikun Li & Chaoqun Ma & Jing Ning & Yun Wang & Caihua Zhu, 2019. "Analysis of Prediction Accuracy under the Selection of Optimum Time Granularity in Different Metro Stations," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
- Quantao Yang & Feng Lu & Jingsheng Wang & Dan Zhao & Lijie Yu, 2020. "Analysis of the Insertion Angle of Lane-Changing Vehicles in Nearly Saturated Fast Road Segments," Sustainability, MDPI, vol. 12(3), pages 1-17, January.
- Ying Zhao & Jie Wei & Haijun Li & Yan Huang, 2024. "Predicting Station-Level Peak Hour Ridership of Metro Considering the Peak Deviation Coefficient," Sustainability, MDPI, vol. 16(3), pages 1-16, February.
- Lijie Yu & Yarong Cong & Kuanmin Chen, 2020. "Determination of the Peak Hour Ridership of Metro Stations in Xi’an, China Using Geographically-Weighted Regression," Sustainability, MDPI, vol. 12(6), pages 1-22, March.
- Yi Cao & Xue Li, 2022. "Multi-Model Attention Fusion Multilayer Perceptron Prediction Method for Subway OD Passenger Flow under COVID-19," Sustainability, MDPI, vol. 14(21), pages 1-16, November.
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Keywords
transport planning; urban rail transit stations; peak deviation coefficient; clustering methods;All these keywords.
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