Lining Zhang

Prof. Dr. Lining Zhang


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 August 2024 in Buildings
Verified
Journal Article
Open access
PDF file
NYNan Yu
Nan Yu
YWYanhu Wang
Yanhu Wang
YZYihui Zhou
Yihui Zhou
Yukun HuYukun Hu
Yukun Hu
JWJinshun Wu
Jinshun Wu
LZLining Zhang
Lining Zhang
Passenger density is a major factor influencing indoor climate conditions and the corresponding energy consumption in the transfer halls of metro transportation hubs. In this study, passenger flow in a subway transfer hall in Beijing was measured across three typical seasons. A differential equation model was established to account for the characteristics of passenger density. Based on this, a passenger density prediction model was developed and utilized for analysis. The results show that passenger density is primarily affected by operation time and the surrounding population composition, with a relatively weak correlation to outdoor weather conditions. Additionally, passenger density differs significantly between weekdays and weekends, with the weekday peak being 2.5 times higher than that on weekends. During the four peak hours on weekdays, both in the morning and evening, passenger density exceeds the design capacity, resulting in insufficient fresh air supply. However, for most of the weekday hours and for all hours on weekends, passenger density remains below the design capacity. This indicates a substantial potential for energy savings by adjusting the fresh air supply according to actual passenger density.

1 September 2018 in Journal of Physics: Conference Series
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Conference Paper
Open access
PDF file
LZLining Zhang
Lining Zhang
SGShi-Gang Ge
Shi-Gang Ge
AJAn Jing
An Jing
Effective risk management is the key to the success of a engineering project. This study first analyzes various potential risk factors in the process of project implementation due to the impact of uncertain events, then the rough set method is introduced and applied to the risk decision of engineering project, and the project risk intelligent decision system based on rough set is constructed. Finally, the feasibility and effectiveness of the system are verified through an example analysis.

8 December 2024
Verified
Book Chapter
Open access
PDF file
JAJing An
Jing An
LZLining Zhang
Lining Zhang
NYNan Yu
Nan Yu
Practical teaching is the key link in undergraduate education for engineering management specialty, which directly affects students’ engineering practice and innovation abilities. In view of the current problems existing in practical teaching of engineering management in applied undergraduate colleges in China, a practical teaching system of engineering management specialty based on the OBE-CDIO concept is put forward, and the practical teaching links and specific contents are clarified. On this basis, a more scientific evaluation index system for practical teaching of engineering management is constructed. The research results can provide a new idea for improving the engineering practice and innovation ability of engineering management students.