@article{4310,
  author = {Yi Feng, Zhijiang Lan},
  title = {Factor Analysis of Railway Carrying Capacity Coordination Optimization Considering Energy Consumption},
  journal = {Journal of Electronic Systems},
  year = {2024},
  volume = {14},
  number = {4},
  doi = {https://doi.org/10.6025/jes/2024/14/4/139-145},
  url = {https://www.dline.info/jes/fulltext/v14n4/jesv14n4_4.pdf},
  abstract = {High-speed railways, as crucial transportation tools, are characterized by high efficiency,
safety, and eco-friendliness, making them an ideal mode of transportation.
However, we face increasing energy consumption pressures to achieve better transport
services. This paper employs factor analysis to explore improving high-speed
railway transport services by adopting resource-saving principles. Railway carrying
capacity construction is investigated to better understand its structural features
and development trends. Various methods, such as data cleaning, filling, and normalization,
are used to obtain more accurate results. Through in-depth analysis, we
identify several factors closely related to energy utilization, including train operation
speed, urban rail planning, and energy-saving technologies. These measures improve
the economic benefits of high-speed railways and contribute to sustainable
social development. However, challenges arising from these efforts should be noticed.
By combining factor analysis with optimization techniques, reducing energy
consumption enhances the railway’s cargo-carrying capacity and ensures its longterm
sustainability. Future scientific and technological advancements will further
explore and apply this approach.},
}