专任教师

霍腾飞


个人简介:

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霍腾飞,管理学博士,副教授,博士生导师,“元光学者”, 美国劳伦斯伯克利国家实验室联合培养博士,香港理工大学研究助理,现任职于河北工业大学经济管理学院工程管理系。主持或参与国家自然科学基金项目、国家社科基金项目,教育部社科项目、河北省自然科学基金项目,河北省社科基金项目,企业咨询项目等10余项。曾在《Applied Energy》、《Energy Policy》、《Journal of Environmental Management》、《Journal of Management in Engineering》、《Sustainable Cities and Society》、《Group decision and negotiation》等SCI/SSCI期刊,《系统工程理论与实践》等管理科学重要期刊共发表学术论文40余篇,多篇论文入选ESI热点及高被引论文。担任《Journal of Environmental Management》、《Decision Science》、《Renewable and Sustainable Energy Reviews》、《Applied energy》、《Journal of Management in Engineering》等一系列国际期刊审稿人。

研究领域:

工程项目管理,新基建决策与治理,可持续建设与管理,城乡建设领域低碳治理

MBA招生方向:战略与决策模拟

主讲课程:

技术经济、学术素养与论文写作、房地产开发与经营

部分科研项目:

国家自然科学基金项目: 城镇居住建筑碳排放总量和强度双控目标设定与实现路径研究 2020-2022 主持
国家社会科学基金项目:基于公平和效率耦合的建筑能耗总量省际分配研究 2019-2022 参与
国家自然科学基金项目:重大公共建设项目决策与治理 2018-2020 参与

河北省自然科学基金项目:京津冀建筑碳排放达峰情景模拟研究 2021-2023 主持

河北省社会科学基金项目:京津冀跨域生态环境协同治理的隐性障碍与破解路径研究 2021-2024主持

教育部人文社科项目: 中国建筑节能核心数据量化研究2015-2018 参与

住建部重大改革咨询项目:建筑业农民工产业工人化的顶层设计研究 2015-2018 参与
咨询项目:中国建筑节能协会能耗数据发布支撑体系研究 2015-2022 参与
咨询项目:面向全生命周期的大渡河安谷水电站精益建造管理模式研究 2012-2015 参与

学术成果:

[1]     Huo, TF, Du, Q., Xu, L., Shi, Q., Cong, X., & Cai, W. Timetable and roadmap for achieving carbon peak and carbon neutrality of China's building sector[J]. Energy, 2023, 274, 127330. (SCI一区)

[2]     Huo TF, Xu LB, Liu BS, Cai WG & Feng W. China’s commercial building carbon emissions toward 2060: An integrated dynamic emission assessment model[J]. Applied Energy, 2022, 325: 119828. (SCI一区)

[3]     Huo, TF, Ma, YL, Xu, LB, Feng, W., & Cai, WG. Carbon emissions in China's urban residential building sector through 2060: A dynamic scenario simulation. Energy, 2022, 254, 124395. (SCI一区)

[4]     Huo, TF, Cao, RJ, Xia, NN, Hu, X, Cai, WG, & Liu, BS. Spatial correlation network structure of China's building carbon emissions and its driving factors: A social network analysis method. Journal of Environmental Management, 2022, 320, 115808. (SCI一区) (ESI热点、高被引论文)

[5]     Huo TF, Xu LB, Feng W, Cai WG, Liu BS. Dynamic scenario simulations of carbon emission peak in China's city-scale urban residential building sector through 2050 [J]. Energy Policy, 2021, 159: 112612. (SCI/SSCI一区) (ESI热点、高被引论文)

[6]     Huo TF, Ma YL, Cai WG, Liu BS, Mu LL. Will the urbanization process influence the peak of carbon emissions in the building sector? A dynamic scenario simulation [J]. Energy and Buildings, 2021, 232: 110590. (SCI二区) (ESI高被引论文)

[7]     Huo TF, Cao RJ, Du HY, Zhang J, Cai WG, Liu BS. Nonlinear influence of urbanization on China's urban residential building carbon emissions: New evidence from panel threshold model [J]. Science of The Total Environment, 2021, 772: 145058. (SCI一区) (ESI高被引论文)

[8]     Huo TF, Cai WG, Zhang WS, Wang J, Zhao Y, Zhu XS. How does income level impact residential-building heating energy consumption? Micro-level evidence from household surveys [J]. Environmental Impact Assessment Review, 2021, 91: 106659. (SSCI一区)

[9]     Yang XN, Hu MM, Tukker A, Zhang CB, Huo TF, Steubing B. A bottom-up dynamic building stock model for residential energy transition: a case study for the Netherlands [J]. Applied Energy, 2022, 306: 118060. (SCI一区)

[10]  Huo TF, Ma YL, Yu T, Cai WG, Liu BS, Ren H. Decoupling and decomposition analysis of residential building carbon emissions from residential income: Evidence from the provincial level in China [J]. Environmental Impact Assessment Review, 2021, 86: 106487. (SSCI一区) (ESI高被引论文)

[11]  Huo TF, Li XH, Cai WG, Zuo J, Jia FY, Wei HF. Exploring the impact of urbanization on urban building carbon emissions in China: Evidence from a provincial panel data model [J]. Sustainable Cities and Society, 2020, 56: 102068. (SCI一区) (ESI热点、ESI高被引论文)

[12]  Huo TF, Tang MH, Cai WG, Ren H, Liu BS, Hu X. Provincial total-factor energy efficiency considering floor space under construction: An empirical analysis of China's construction industry [J]. Journal of Cleaner Production, 2020, 244: 118749. (SCI一区) (ESI高被引论文)

[13]  Gao JX, Zhong XY, Cai WG, Ren H, Huo TF, Wang X, Mi ZF. Dilution effect of the building area on energy intensity in urban residential buildings [J]. Nature Communications, 2019, 10: 1-9. (SCI一区)

[14]  Huo TF, Cai WG, Ren H, Feng W, Zhu ML, Lang NN, Gao JX. China’s building stock estimation and energy intensity analysis [J]. Journal of Cleaner Production, 2019, 27: 801-813. (SCI一区)

[15]  Huo TF, Ren H, Cai WG. Estimating urban residential building-related energy consumption and energy intensity in China based on improved building stock turnover model [J]. Science of The Total Environment, 2019, 650: 427-437. (SCI一区) (ESI高被引论文)

[16]  Huo TF, Ren H, Zhang XL, Cai WG, Feng W, Zhou N, Wang X. China's energy consumption in the building sector: A Statistical Yearbook-Energy Balance Sheet based splitting method [J]. Journal of Cleaner Production, 2018, 185: 665-679. (SCI一区) (ESI高被引论文)

[17]  Huo TF, Ren H, Cai WG, Shen QP, Liu BS, Zhu ML, Wu HQ. Measurement and Dependence Analysis of Cost Overruns in Megatransport Infrastructure Projects: Case Study in Hong Kong [J]. Journal of Construction Engineering and Management, 2018, 144: 05018001. (SCI二区)

[18]  Huo TF, Ren H, Cai WG, Feng W, Tang M, Zhou N. The total-factor energy productivity growth of China’s construction industry: evidence from the regional level [J]. Natural Hazards, 2018, 92: 1593-1616. (SCI三区)

[19]  Liu BS, Yang XD, Huo TF, Shen QP, Wang XQ. A linguistic group decision-making framework for bid evaluation in mega public projects considering carbon dioxide emissions reduction [J]. Journal of cleaner production, 2017, 148: 811-825. (SCI一区)

[20]  Liu BS, Huo TF, Shen QP, Yang ZY, Meng JN, Xue B. Which Owner Characteristics Are Key Factors Affecting Project Delivery System Decision Making? Empirical Analysis Based on the Rough Set Theory [J]. Journal of Management in Engineering, 2014, 31: 05014018. (SCI二区)

[21]  Liu BS, Xue B, Huo TF, Shen QP, Fu MQ. Project external environmental factors affecting project delivery systems selection [J]. Journal of Civil Engineering and Management, 2019, 25: 276-286. (SCI四区)

[22]  Liu BS, Huo TF, Meng JN, Gong J. Identification of key contractor characteristic factors that affect project success under different project delivery systems: empirical analysis based on a group of data from China [J]. Journal of Management in Engineering, 2016, 32: 1-11. (SCI二区)

[23]  Liu BS, Huo TF, Liao PC, Gong J, Xue B. A Group Decision-Making Aggregation Model for Contractor Selection in Large Scale Construction Projects Based on Two-Stage Partial Least Squares (PLS) Path Modeling [J]. Group Decision & Negotiation, 2015, 24: 855-883. (SSCI二区)

[24]  Liu BS, Huo TF, Liao PC, Yuan JF, Sun J, Hu X. A special Partial Least Squares (PLS) path decision modeling for bid evaluation of large construction projects [J]. KSCE Journal of Civil Engineering, 2017, 21: 579-592. (SCI四区)

[25]  Liu BS, Huo TF, Liang Y, Sun Y. Key factors of project characteristics affecting project delivery system decision making in the Chinese construction industry: Case study using Chinese data based on rough set theory [J]. Journal of Professional Issues in Engineering Education and Practice, 2016, 142: 05016003. (SCI四区)

[26]  Liu BS, Huo TF, Wang XQ, Shen QP, Chen Y. The decision model of the intuitionistic fuzzy group bid evaluation for urban infrastructure projects considering social costs [J]. Canadian Journal of Civil Engineering, 2013, 40: 263-273. (SCI四区)

[27]  霍腾飞, 刘炳胜, 陈媛, 王雪青. 新世纪中国建筑产业竞争力形成机理动态演进规律研究——兼论加入GPA后的发展策略[J]. 运筹与管理, 2015 (24): 251-258.

[28]  唐妙涵, 霍腾飞, 任宏, 宋向南,高景鑫. 基于CVM的建筑废弃物回收利用非市场价值评估[J]. 系统工程理论与实践, 2018 (38): 1227-1235.

[29]  刘炳胜, 霍腾飞, 王雪青, 杨志勇. 带有SEM约束锥的DEA模型及在建筑业效率中的应用[J]. 北京理工大学学报, 2012 (32): 865-870.

[30]  杨志勇, 申映华, 霍腾飞, 吴斌堂. 基于PCA-SVM的中国省域建筑产业竞争力预测[J]. 统计与决策, 2012 (23): 98-101.

[31]  霍腾飞, 周申蓓, 申映华. 基于DEA-Malmquist的中国建筑业大型承包商全要素生产率分析[J]. 工程管理学报, 2014 (28): 143-147.

联系方式:

联系地址:天津市红桥区光荣道8号河北工业大学经济管理学院

电子邮箱:htf2010@sina.cn; tfhuo@hebut.edu.cn





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