Low-Altitude and High-Speed Transportation Approach for Improved Logistics Efficiency and Carbon Reduction in Urban Networks
DOI:
https://doi.org/10.71222/tqje9396Keywords:
low-altitude economy, high-speed transportation, smart scheduling system, multi-goal optimization model, delivery efficiency, carbon emissions, resource useAbstract
The new framework that combines the low-altitude economy with high-speed transportation offers a practical and effective solution for modern city logistics systems. It shows strong potential in boosting delivery efficiency, cutting costs, and reducing carbon emissions. This study focuses on Suzhou's logistics network, using a multi-goal optimization model and a smart scheduling system to assess how well the low-altitude economy works in different logistics situations. By combining an ARIMA time series prediction model with a Long Short-Term Memory (LSTM) network, the study looks at how logistics needs change during busy times, bad weather, and emergency situations. The research uses different data sources to help drones and ground vehicles work together smoothly. The model includes three main measures: delivery efficiency (T), transportation costs (C), and carbon emissions (E), and shows the real benefits of the low-altitude economy through clear data analysis. The results show that in normal conditions, delivery efficiency increased to 97.9, transportation costs dropped to 65.4, and carbon emissions fell to 58.2. During peak traffic and bad weather, delivery efficiency stayed strong at 85.5 and 80.3. The smart scheduling system managed resources well, keeping costs and emissions within safe limits (cost: 70.1-73.5; emissions: 61.8-67.9). Scheduling efficiency went up from 0.85 to 0.93, and resource use improved from 74.6% to 88.1%. The analysis showed a clear negative link between delivery efficiency and carbon emissions (-0.85) and a positive link between costs and emissions (0.78). This suggests the need to balance cost savings with environmental benefits. The suggested approach, combining the multi-goal optimization model with a smart scheduling system, not only helps Suzhou handle complex logistics challenges but also provides a useful model for other large cities, supporting the move towards faster, greener, and smarter city logistics systems.
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Copyright (c) 2025 Jorge Mahoney, Deborah Ramirez, Thomas Ramirez, Nicholas Foster (Author)
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