男，中国科学院地理科学与资源研究所，地理信息科学与技术全国重点实验室 研究员、博士生导师。兼任中国科学院地理科学与资源研究所学术委员会委员，期刊中心主任，中国科学院大学岗位教授。社会兼职包括国家重点研发计划“地球观测与导航”重点专项专家组成员、国家电子政务专家委员会委员、中国地理信息产业协会地理信息科学理论与方法工作委员会主任、中国卫星导航定位协会室内导航定位工作委员会副主任、中国测绘学会智慧城市工作委员会副主任、中国民航局低空地理信息与航路重点实验室常务副主任、海上交通运行智能控制与仿真技术国家地方联合工程研究中心技术委员会副主任、数字中国研究院（福建）专家委员会委员、福建省人民政府顾问、《地球信息科学学报》执行主编等。

研究领域与研究方向：

地理空间智能、轨迹数据挖掘、文本挖掘与知识图谱、复杂网络分析、导航与位置服务技术、交通地理信息系统等。

教育背景：

1996.03~1999.08  中国科学院遥感应用研究所，博士研究生

1993.09-1996.03  西南林学院林业系，硕士研究生

1987.09-1991.07  武汉测绘科技大学航测与遥感系，本科

工作经历：

2025.01~，中国科学院地理科学与资源研究所，地理信息科学与技术全国重点实验室  研究员

2004.06~2024.12，中国科学院地理科学与资源研究所，资源与环境信息系统国家重点实验室  研究员

2010.11~2015.05，中国科学院地理科学与资源研究所，资源与环境信息系统国家重点实验室  常务副主任

2001.05~2006.04，中国科学院地理科学与资源研究所，资源与环境信息系统国家重点实验室  副主任

2004.04~2004.12，香港大学地理系，高级访问学者

2001.04~2004.06，中国科学院地理科学与资源研究所，资源与环境信息系统国家重点实验室  副研究员

1999.08~2001.03，中国科学院地理科学与资源研究所，资源与环境信息系统国家重点实验室  博士后

1991.07~1993.07，武汉测绘科技大学航测与遥感系/测绘遥感信息工程国家重点实验室， 助教

科研业绩：

截至2025年，合著出版专著6部，正式发表学术论文320篇；获得发明专利授权26项；获得国家科技进步二等奖1项、省部级科技进步一等奖6项、二等奖2项。2020年获得中国智慧城市领军人物奖，2020年和2022年获得中国科学院优秀导师奖，2021年和2023年获得中国科学院大学领雁奖章。

科研项目：

近五年来，先后主持完成国家重点研发计划、国家自然科学重点基金、中国科学院战略性科技先导专项项目、中国科学院重点部署项目等。目前在研项目包括：城市生命体“城市病”主动治理和多要素智能精准配置技术（国家重点研发计划项目课题）、空地协同测图与自动标注技术研究（国家重点研发计划项目子课题）、多智能设备下交通态势协同探测系统与应用示范（中科院性先导专项项目子课题）等。

代表性论著（近五年）：

1.  Shifen Cheng,Peng Peng,Feng Lu*,A lightweight ensemble spatiotemporal interpolation model for geospatial data. International Journal of Geographical Information Science,2020,34(9):1849-1872.

2.  Yibo Zhao,Shifen Cheng*,Beibei Zhang,Feng Lu. Identifying the cargo types of road freight with semi-supervised trajectory semantic enhancement. International Journal of Geographical Information Science. 2024,38(3):432-453.

3.  Chen Chu,Hengcai Zhang*,Feng Lu. Simulating human mobility with a trajectory generation framework based on diffusion model. International Journal of Geographical Information Science. 2024,38(5):847-878.

4.  Shifen Cheng,Lizeng Wang,Peng Peng,Peixiao Wang,Feng Lu*. An ensemble spatial prediction method considering geospatial heterogeneity. International Journal of Geographical Information Science. 2024,38(9):1856-1880.

5.  Shifen Cheng,Wenhui Zhang,Peng Luo,Lizeng Wang,Feng Lu*,An explainable spatial interpolation method considering spatial stratified heterogeneity. International Journal of Geographical Information Science. 2025,39(3):600-626.

6.  Xiaoyue Luo,Shifen Cheng*,Peixiao Wang,Feng Lu,A tensor decomposition method based on embedded geographic meta-knowledge for urban traffic flow imputation. International Journal of Geographical Information Science. 2025,39(4):788-816.

7.  Peixiao Wang,Hengcai Zhang*,Jie Liu,Feng Lu,Tong Zhang. Efficient inference of large-scale air quality using a lightweight ensemble predictor. International Journal of Geographical Information Science. 2025,39(4):900-924.

8.  程诗奋、彭澎、张恒才、陆锋*，异质稀疏分布时空数据重构与预测方法探讨，武汉大学学报（信息科学版），2020，45(12):1919-1929

9.  Jiaxin Wang,Feng Lu*,Modeling the electricity consumption by combining land use types and landscape patterns with nighttime light imagery,Energy,2021,234: 121305.

10. Jiaxin Wang,Feng Lu*,Shuo Liu,A classification based multifractal analysis method for identifying urban multifractal structures considering geographic mapping. Computers,Environment and Urban Systems. 2023,101:101952

11. Peixiao Wang,Hengcai Zhang*,Feng Lu. Quickly forecasting the future state of urban sensors by the missing-data-tolerant deep learning approach. Sustainable Cities and Society. 2025,DOI: 10.1016/j.scs.2024.106044

12. Lizeng Wang,Shifen Cheng*,Feng Lu. Decomposing spatio-temporal heterogeneity: Matrix-informed ensemble learning for interpretable prediction. Knowledge-based Systems. 2025,309: 112906.

13. Shifen Cheng,Feng Lu*,Peng Peng,Short-term traffic forecasting by mining the non-stationarity of spatiotemporal pattern, IEEE Transactions on Intelligent Transportation Systems, 2021,22(10):6365-6383.

14. Beibei Zhang,Shifen Cheng*,Yibo Zhao,Feng Lu. Inferring intercity freeway traffic volume from the perspective of the potential destination city attractiveness. Sustainable Cities and Society. 2023,98:104834.

15. Beibei Zhang,Shifen Cheng*,Peixiao Wang;Feng Lu. Inferring freeway traffic volume with spatial interaction enhanced betweenness centrality,International Journal of Applied Earth Observation and Geoinformation. 2024,129:103818

16. Yibo Zhao,Shifen Cheng*,Kang Liu,Beibei Zhang,Feng Lu. Intercity freight connections in China under the view of mass truck trajectories. Cities. 2024,150:105034

17. Yibo Zhao,Shifen Cheng*,Song Gao,Feng Lu. A gravity-inspired model integrating geospatial and socioeconomic distances for truck origin-destination flows prediction. International Journal of Applied Earth Observation and Geoinformation. 2025,136: 104328.

18. Yibo Zhao,Shifen Cheng*,Song Gao,Peixiao Wang,Feng Lu. Predicting origin-destination flows by considering heterogeneous mobility patterns. Sustainable Cities and Society. 2025,118:106015.

19. Peixiao Wang,Hengcai Zhang*,Beibei Zhang,Shifen Cheng,Feng Lu,Tong Zhang. Spatiotemporal variations of private e-bike trips with explainable data-driven technologies. Cities,2025,158:105712.

20. Jianing Yu,Hengcai Zhang*,Peixiao Wang,Jinzi Wang,Feng Lu. Sequence analysis of local indicators of spatio-temporal association for evolutionary pattern discovery. GIScience & Remote Sensing. 2025,10.1080/15481603.2025.2487292

21. 陆锋，诸云强，张雪英，时空知识图谱研究进展与展望，地球信息科学学报,2023,25(6):1091-1105. DOI: 10.12082/dqxxkx.2023.230154

22. Jialiang Gao,Peng Peng*,Feng Lu,Christophe Claramunt,A multi-scale comparison of tourism attraction networks across China,Tourism Management,2022,90:104489.

23. Jialiang Gao,Peng Peng*,Feng Lu,Christophe Claramunt,Yang Xu. Towards travel recommendation interpretability: Disentangling tourist decision-making process via Knowledge graph. Information Processing and Management. 2023,60:103369.

24. Jialiang Gao,Peng Peng*,Feng Lu,Christophe Claramunt,Peiyang Qiu,Yang Xu. Mining tourist preferences and decision support via tourism-oriented knowledge graph. Information Processing and Management. 2024,61:103523

25. 高嘉良、陆锋*、彭澎、徐阳，基于网络文本迁移学习的旅游知识图谱构建，武汉大学学报（信息科学版）,2022,47(8):1191-1200+1219

26. 高嘉良、仇培元、余丽、黄宗财、陆锋*，基于旅游知识图谱的可解释景点推荐，中国科学:信息科学版,2020,50(7):1055-1068

27. Shifen Cheng,Yibo Zhao,Beibei Zhang,Peng Peng,Feng Lu*,Structural decomposition of heavy-duty diesel truck emission contribution based on trajectory mining,Journal of Cleaner Production,2022,380:135172,

28. Shifen Cheng,Feng Lu*,Peng Peng,Ji Zheng,Emission characteristics and control policy scenario analysis of volatile organic compounds from heavy-duty diesel trucks,Journal of Environmental Management,2021,293:112915

29. Shifen Cheng,Beibei Zhang,Peng Peng,Feng Lu*,Health and economic benefits of heavy-duty diesel truck emission control policies in Beijing,Environment International. 2023,79:108152.

30. Beibei Zhang,Shifen Cheng*,Yibo Zhao,Feng Lu. Health effects of spatiotemporal variation in PM_2.5 concentrations from heavy-duty diesel trucks in Beijing. Journal of Cleaner Production. 2024,434:140025.

31. Peng Peng,Shifen Cheng,Feng Lu*, Characterizing the global liquefied petroleum gas trading community using mass vessel trajectory data, Journal of Cleaner Production, 2020,252: 119883.

32. Peng Peng,Feng Lu*,Shifen Cheng,Yu Yang,Mapping the global liquefied natural gas trade network: A perspective of maritime transportation,Journal of Cleaner Production. 2021,283:124640.

33. Peng Peng,Christophe Claramunt,Shifen Cheng,Yu Yang,Feng Lu*,A multi-layer modelling approach for mining versatile ports of a global maritime transportation network,International Journal of Digital Earth,2023,16(1):2129-2151.

34. Yang Xu,Peng Peng*,Christophe Claramunt,Feng Lu,Ran Yan. Cascading failure modelling in global container shipping network using mass vessel trajectory data,Reliability Engineering & System Safety. 2024,249:110231

35. Yang Xu;Peng Peng*,Feng Lu;Christophe Claramunt,Uncovering the multiplex network of global container shipping: Insights from shipping companies. Journal of Transport Geography,2024,120: 103991.

36. Yang Xu,Peng Peng*,Xiaowei Xie,Feng Lu. Structural analysis and robustness assessment of global LNG transport network from 2013 to 2023. Ocean & Coastal Management. 2025,263:107619.

研究生招生与培养:

招生专业：地图学与地理信息系统

招生方向：时空大数据分析、地理空间人工智能

联系方式：

通讯地址：北京市朝阳区大屯路甲11号 中国科学院地理科学与资源研究所

邮   编：100101

办公电话：010-64888966

传    真：010-64889630

E-mail地址:luf@lreis.ac.cn

微信公众号：大数据与普适GIS