Showing 4,561 - 4,580 results of 5,188 for search '"Shanghai"', query time: 0.08s Refine Results
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    Managing Recurrent Congestion of Subway Network in Peak Hours with Station Inflow Control by Qingru Zou, Xiangming Yao, Peng Zhao, Fei Dou, Taoyuan Yang

    Published 2018-01-01
    “…Station inflow control (SIC) is an important and effective method for reducing recurrent congestion during peak hours in the Beijing, Shanghai, and Guangzhou subway systems. This work proposes a practical and efficient method for establishing a static SIC scheme in normal weekdays for large-scale subway networks. …”
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  5. 4565

    Optimization of Bus Bridging Service under Unexpected Metro Disruptions with Dynamic Passenger Flows by Jiadong Wang, Zhenzhou Yuan, Yonghao Yin

    Published 2019-01-01
    “…Finally, we apply the proposed model to Shanghai Metro to access the effectiveness of our approaches in comparison with the current bridging strategy. …”
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  6. 4566

    Revolutionizing agricultural stock volatility forecasting: a comparative study of machine learning and HAR-RV models by Houjian Li, Xinya Huang, Fangyuan Luo, Deheng Zhou, Andi Cao, Lili Guo

    Published 2025-12-01
    “…This study investigates the realized volatility of the Shanghai Agricultural Stock Index (March 2017–May 2021), focusing on predictive accuracy. …”
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  7. 4567
  8. 4568

    Sustaining the Fabric of Time: Urban Heritage, Time Rupture, and Sustainable Development by Kaixuan Wang, Kalliopi Fouseki

    Published 2025-01-01
    “…., the disruption of historical continuity caused by rapid urbanization, and its implications for urban heritage preservation, using Dongjiadu in Shanghai as a case study. Time rupture highlights the disconnection between modern development and cultural heritage, often diluting local identity and a sense of place. …”
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    Multivariate CNN-LSTM Model for Multiple Parallel Financial Time-Series Prediction by Harya Widiputra, Adele Mailangkay, Elliana Gautama

    Published 2021-01-01
    “…The effectiveness of the evolved ensemble model during the COVID-19 pandemic was tested using regular stock market indices from four Asian stock markets: Shanghai, Japan, Singapore, and Indonesia. In contrast to CNN and LSTM, the experimental results show that multivariate CNN-LSTM has the highest statistical accuracy and reliability (smallest RMSE value). …”
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    Big data tax collection and management, enterprise financialization and enterprise innovation: Quasi-natural test evidence based on the "Golden Tax Phase III". by Deliang Zhou, Zexuan Zhang

    Published 2024-01-01
    “…In this study, the quasi-natural test environment provided by the "Golden Tax Phase III" policy launched in 2013 and the method of propensity score matching and differentiation (PSM-DID) were used on combination of the samples of A-share listed enterprises in Shanghai and Shenzhen during 2010-2021 to analyze and demonstrate the impact of this policy on the innovation of the listed enterprises. …”
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    Provincial Climate Action Index and Its Use for Assessing Dual Carbon Policy of 31 Provinces in China by Jing Xu, Fengqiao Mei, Chuntian Lu, Bin Zhang, Min Wang

    Published 2025-01-01
    “…We calculate the index scores of 31 Chinese provinces and identify 3 clusters: leaders, followers, and laggards in dual carbon policy, demonstrating both differences and similarities in provincial‐level actions to achieve climate goals. Provinces such as Shanghai, Beijing, and Anhui are pioneering, nearly half of provinces including Shandong and Shanxi, exhibit medium commitments to the goals, while 10 underperforming provinces such as Qinghai and Xizang lag behind.…”
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  20. 4580

    Analysis of the Relationship between Dockless Bicycle-Sharing and the Metro: Connection, Competition, and Complementation by Yuru Wu, Weifeng Li, Qing Yu, Jian Li

    Published 2022-01-01
    “…A case study was carried out in Shanghai, China. The proposed method was applied to investigate when, where, and to what extent the dockless bicycle-sharing trips compete with, integrate with, and complement the metro. …”
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