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刘莎
Sophie
(副教授)
硕士生导师
学位:博士
性别:女
毕业院校:香港城市大学
所在单位:建设管理系
电子邮箱:sophie_liu@dlut.edu.cn
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杨琳, 刘莎, 刘佳琦.The Interaction Effect of Occupant Behavior-Related Factors in Office Buildings Based on the DNAS...[J],Sustainability,2021,13
蒋雅君, 陶磊, 刘莎, 张梦烁, 陶双江.运营公路隧道结构预防性养护经济性评价方法探讨[J],隧道建设,2021,40(增2):332-339
刘莎, 李想, 贺川倪.Study on Dynamic Influence of Passenger Flow on Intelligent Bus Travel Service Model[J],Transport,2021
Liu, Sha, Ning, Xin, X (reprint author), Dongbei Univ Finance & Econ, Sch Investment & Construct Management, Dalian 116025, Liaoning, Peoples R China..A Two-Stage Building Information Modeling Based Building Design Method to Improve Lighting Envi...[J],APPLIED SCIENCES-BASEL,2019,9(19)
刘莎, 曾晰, 李想, 董国发.客流量动态影响下公交智慧出行服务模型研究[J],重庆大学学报(自然科学版),2019
Dahmas, Sabrinaji, Li, Zhongfu, Liu, Sha, S (reprint author), Dalian Univ Technol, Dept Construct Management, Dalian 116024, Peoples R China..Solving the Difficulties and Challenges Facing Construction Based on Concurrent Engineering in ...[J],SUSTAINABILITY,2019,11(11)
刘莎, 刘佳琦.基于全生命周期成本和碳排放量的绿色建筑设计优化研究[J],建筑经济,2017,38(10):59-65
Liu, Sha, Meng, Xianhai, Tam, Chiming, S (reprint author), Dalian Univ Technol, Fac Infrastruct Engn, Dept Construct Management, Dalian 116024, Liaoning, Peoples R China..Building information modeling based building design optimization for sustainability[J],ENERGY AND BUILDINGS,2015,105:139-153
Liu, Sha.Sustainable Building Design Optimization Using Building Information Modeling[A],2015,326-335
Cao, Xinying, Li, Zhongfu, Liu, Sha, XY (reprint author), Dalian Univ Technol, Dept Construct Management, Fac Infrastruct Engn, Dalian, Liaoning, Peoples R China..Study on factors that inhibit the promotion of SI housing system in China[J],ENERGY AND BUILDINGS,2015,88:384-394
Analysis of CO2 Emission in the Construction Industry of Hong Kong[C],COBRA 2011, the Royal Institution of Charted Surveyors International Research Conference,2011
Cost-benefit analysis of high-speed rail link between Hong Kong and mainland China[J],Journal of Engineering, Project, and Production Management,2019,1(1):36-45
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