Visualizing the intellectual landscape and evolution of transportation system resilience: A bibliometric analysis in CiteSpace

Autor: Yi Li, Qiang Du, Jiansong Zhang, Yi Jiang, Jiajie Zhou, Zhongnan Ye

Publikováno v: Developments in the Built Environment, Vol 14, Iss , Pp 100149- (2023)

As an emerging concept of a system's ability to resist disasters, transportation system resilience (TSR) has attracted the attention of scholars. In this study, a bibliometric analysis of 303 academic publications from the Web of Science related to T

Externí odkaz: https://doaj.org/article/a28651441c9c4be999c6b3aa6f08a700

Predicting real-time deformation of structure in fire using machine learning with CFD and FEM

Autor: Zhongnan Ye, Shu-Chien Hsu

Publikováno v: Automation in Construction. 143:104574

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1e074abca4bfb9641699654ff8ce7ea6
https://doi.org/10.1016/j.autcon.2022.104574

Community Renewal with Urban Diagnosis: Bajiao Community, Shijingshan District, Beijing

Autor: Zhongnan Ye, Hanxue Wei, Chuanren Lin

Publikováno v: Proceedings of the 57th ISOCARP World Planning Congress.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::da4a9c47ba520c46cb6f4a707875b04a
https://doi.org/10.47472/r78egjff

Identifying critical building-oriented features in city-block-level building energy consumption: A data-driven machine learning approach

Autor: Zhongnan Ye, Hsi Hsien Wei, Clara Cheung, Shu Chien Hsu, Kuangly Cheng

Publikováno v: Ye, Z, Cheng, K, Hsu, S-C, Wei, H-H & Cheung, C 2021, ' Identifying critical building-oriented features in city-block-level building energy consumption: A data-driven machine learning approach ', Applied Energy, vol. 301, 117453 .
University of Manchester-PURE

Understanding regional building energy patterns is the prerequisite to efficiently and effectively promote sustainable urban development. Previous studies have proposed various data-driven methods to investigate the relationship between building ener

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f98b05944dd6026ea0c82437faf0b6c7
https://doi.org/10.1016/j.apenergy.2021.117453

A practical approach to determining critical macroeconomic factors in air-traffic volume based on K-means clustering and decision-tree classification

Autor: Jieh Haur Chen, Hsi Hsien Wei, Hsin Yi Wei, Zhongnan Ye, Yi Ping Chen, Chih Lin Chen

Publikováno v: Journal of Air Transport Management. 82:101743

A given region's volume of air passengers and cargo is frequently taken to represent its economic development. This research proposes a practical methodology for investigating the inherent patterns of the relationships between air-traffic volume and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0ec75e9965816bb3cd47aa77a602cbc7
https://doi.org/10.1016/j.jairtraman.2019.101743