Mr Jin Shang (he/him)

School of Architecture and Landscape

PhD Research Student

jshang5@sheffield.ac.uk
44 7410596538

Arts Tower

Full contact details

Mr Jin Shang
School of Architecture and Landscape
Arts Tower
Western Bank
Sheffield
S10 2TN

Profile: The background of my Ph.D. research is about the seismic study of ancient architecture. In addition, because my major in my undergraduate and master degree is urban planning and urban design. I also cooperated with researchers in other universities to develop the research projects about environmental simulation and urban big data.

Research interests

Project Title

Dynamic properties of masonry pagodas in Henan, China

Project outline:

My Ph.D. research is mainly about the dynamic properties of Henan masonry pagoda. The aim of this research is to find the influence factors of dynamic properties of Henan masonry pagoda and how do these influence factors affect the dynamic properties of Henan masonry pagoda.

Primary Supervisor

Dr. Chengzhi Peng

Co-supervisors

Prof. Wen-Shao Chang

Date Started

12/08/2022

Publications

Journal articles

Shang J, Su H, Hu K, Guo X & Sun D (2023) Prediction of Traffic Volume of Motor Vehicles Based on Mobile Phone Signaling Technology. Computers, Materials & Continua, 75(1), 799-814.
Shang J, Guo X, Wang J & Su H () An approach for urban agglomerations integration evaluation based on multivariate big data: case of the Central Plains Urban Agglomeration. Geo-spatial Information Science, 1-19.
Shang J, Cai R & Feng Q () An urban energy recycling system that recycles the waste heat from industry for deicing on urban road in winter—taking Harbin as an example. Environmental Science and Pollution Research, 31(3), 4209-4219.

Conference proceedings papers

Shang J (2023) The structural health monitoring technology of urban cultural heritage based on climate change impact—Case of Chinese masonry pagoda. roceedings of the 5th Urban Economy Forum + 59th ISOCARP World Planning Congress (pp 343-347)
Shang J & Feng Q (2022) Prediction Method of Public Participation in Decision-making Based on Bayes Theorem. Journal of Physics: Conference Series, Vol. 2287(1) (pp 012017-012017)