Home Journals Articles Updates About
CN
image
收藏切换
Environmental Comfort Evaluation and Prediction of Beijing Metro Station Public Area Based on Improved PMV-PPD Model
收藏切换
PDF
Wu-yin ZHANG1, Xu-gao SHENG2, *, Jun MAO2, Ming-zhu ZHAO1, Rui-nan ZHU1, Zheng LIU3
Science Technology and Engineering | 2025, 25(9) : 3851 - 3860
Less
收藏切换
Science Technology and Engineering | 2025, 25(9): 3851-3860
• Papers·Architectural Science •
Environmental Comfort Evaluation and Prediction of Beijing Metro Station Public Area Based on Improved PMV-PPD Model
Full
Wu-yin ZHANG1, Xu-gao SHENG2, *, Jun MAO2, Ming-zhu ZHAO1, Rui-nan ZHU1, Zheng LIU3
Affiliations
  • 1 Electromechanical Branch of Beijing Metro Operation Co., Ltd., Beijing 100040, China
  • 2 Beijing Jiaotong University, Beijing 100044, China
  • 3 Aerospace Macro Information Technology Beijing Co., Ltd., Beijing 100044, China
Published: 2025-03-28 doi: 10.12404/j.issn.1671-1815.2403355
Outline
收藏切换

The issue of comfort in subway stations is typically analyzed using the predicted mean vote (PMV) and the predicted percent dissatisfied (PPD) indices. Based on the PMV-PPD comfort indices calculation model, the weight proportions of different environmental parameters on comfort were studied. The PMV calculation model was improved by considering the spatiotemporal characteristics of passengers’ clothing and activity levels. The PPD calculation model was enhanced by taking into account the impact of drastic environmental temperature changes on comfort. The environmental comfort of public areas in stations was then analyzed using the improved PMV-PPD calculation model. On this basis, the feasibility of predicting environmental comfort using long short-term memory (LSTM) networks was explored. The research results indicate that the weight proportions of metabolic rate, air temperature, clothing thermal resistance, and humidity on environmental comfort are 0.558, 0.260, 0.113, and 0.069, respectively. At a given time, the maximum differences in PMV and PPD at different monitoring points on the platform are approximately 15% and 60%, respectively. The improved PMV-PPD calculation model is found to be more universally applicable compared to the traditional PMV-PPD calculation model. The neural network is shown to accurately predict PMV and PPD values, with a maximum error of 8% for PMV and 14% for PPD between the actual and predicted values.

platform  /  PMV  /  PPD  /  weight  /  neural network
Wu-yin ZHANG, Xu-gao SHENG, Jun MAO, Ming-zhu ZHAO, Rui-nan ZHU, Zheng LIU. Environmental Comfort Evaluation and Prediction of Beijing Metro Station Public Area Based on Improved PMV-PPD Model[J]. Science Technology and Engineering, 2025 , 25 (9) : 3851 -3860 . DOI: 10.12404/j.issn.1671-1815.2403355
Appendix
Less
Year 2025 volume 25 Issue 9
PDF
294
104
Cite this Article
BibTeX
Article Info
doi: 10.12404/j.issn.1671-1815.2403355
  • Receive Date：2024-05-07
  • Online Date：2025-07-09
  • Published：2025-03-28
Article Data
Affiliations
History
  • Received：2024-05-07
  • Revised：2024-12-26
Funding
Affiliations
    1 Electromechanical Branch of Beijing Metro Operation Co., Ltd., Beijing 100040, China
    2 Beijing Jiaotong University, Beijing 100044, China
    3 Aerospace Macro Information Technology Beijing Co., Ltd., Beijing 100044, China
References
Share
https://castjournals.cast.org.cn/joweb/kxjsygc/EN/10.12404/j.issn.1671-1815.2403355
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House