2017-08-13 superadmin

陆锋

■   电子邮箱：luf@lreis.ac.cn; luf@igsnrr.ac.cn
■   外部链接：实验室主页; 研究所主页

陆锋，博士，研究员，博士生导师，中国科学院地理科学与资源研究所所长助理、所学术委员会委员、学位评定委员会委员，兼任中国地理信息产业协会理论与方法委员会主任、中国卫星导航定位协会室内导航定位委员会副主任、国家“十三五”空天技术领域科技创新规划专家组成员、国家电子政务专家委员会委员、国际计算机学会空间信息委员会中国分会荣誉主席、国际空间研究会 (COSPAR) 中国委员会委员、《地球信息科学学报》常务副主编、船舶助导航国家地方联合工程研究中心学术委员会副主任、数字中国研究院（福建）专家委员会委员、福建省人民政府科技顾问、北京市自动驾驶车辆道路测试专家委员会委员、宁波市制造业高质量发展与智能经济战略咨询委员会委员、中国科学院大学岗位教授等。

工作经历

  • 2004年6月-至今，中国科学院地理科学与资源研究所研究员
  • 2008年9月-至今，中国科学院地理科学与资源研究所博士生导师
  • 2001年4月-至今，历任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、国家遥感中心地理信息系统部主任、资源与环境信息系统国家重点实验室常务副主任、中国科学院地理科学与资源研究所所长助理、所学术委员会委员、党委委员、纪委委员
  • 2001年4月-2004年6月，中国科学院地理科学与资源研究所副研究员
  • 2004年4月-2004年12月，香港大学高级访问学者
  • 1999年8月-2001年3月，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年7月-1993年7月，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

荣誉奖励

  • 2006年  新疆生态安全遥感监测与信息系统的技术集成和应用 国家科技进步二等奖
  • 2013年  数学省政务信息与空间信息资源共享服务关键技术及应用 福建省科技进步一等奖
  • 2014年  特大城市交通地理信息服务平台及应用 测绘科技进步二等奖
  • 2015年  城市交通诱导与导航出行关键技术研究与应用服务 北京市科学技术一等奖
  • 2016年  “出行地图+”动态服务计算关键技术及应用 湖北省科技进步一等奖
  • 2016年  城市地理信息系统关键技术与应用 江苏省科技进步二等奖
  • 2017年  面向城市管理的城市GIS关键技术 地理信息科技进步一等奖
  • 2017年 国产高分辨率对地观测系统区域应用关键技术及示范 新疆维吾尔自治区科技进步一等奖
  • 2018年  城市交通多源感知与智能计算的研究和推广 福建省科技进步一等奖  

主要研究项目

  1. 国家重点研发计划项目课题 “室内高精度测图与实时GIS技术”
  2. 国家自然科学基金重点项目“网络文本蕴含地理信息理解与知识图构建”
  3. 国家自然科学基金面上项目“城市道路网络空间结构对出行行为的影响研究”
  4. 中国科学院重点项目课题 “印度洋港口地缘优势分析与运输态势动态评估”
  5. 中国科学院STS计划区域重点项目 “京津冀区域交通污染排放车联网+监控技术与应用”
  6. 中国科学院战略性先导科技专项项目 “生态文明建设地理图景技术与应用示范”

近 5 年发表论著

■    城市计算与交通分析方向

  1. 陆锋, 张恒才. 2014. 大数据与广义GIS. 武汉大学学报(信息科学版), 39(6): 645-654. doi: 10.13203/j.whugis20140148
  2. 陆锋, 刘康, 陈洁. 2014. 大数据时代的人类移动性研究. 地球信息科学学报 , 16(5): 665-672. doi: 10.3724/SP.J.1047.2014.00665
  3. Bisheng Yang*, Yunfei Zhang*, Feng Lu. 2014. Geometric-based approach for integrating VGI POIs and road networks. International Journal of Geographical Information Science, 28(1): 126-147. doi: 10.1080/13658816.2013.830728
  4. Bin Jiang*, Yingying Duan, Feng Lu, Tinghong Yang, Jing Zhao*. 2014. Topological structure of urban street networks from the perspective of degree correlations. Environment and Planning B: Planning and Design, 41(5): 813-828. doi: 10.1068/b39110
  5. Yingying Duan, Feng Lu*. 2014. Robustness of city road networks at different granularities. Physica A: Statistical Mechanics and its Applications, 411: 21-34. doi: 10.1016/j.physa.2014.05.073
  6. 于海璁, 陆锋*. 2014. 一种基于遗传算法的多模式多标准路径规划方法. 测绘学报 , 43(1): 89-96. doi: 10.13485/j.cnki.11-2089.2014.0013
  7. 余丽, 陆锋*, 杨林. 2014. 交通网络旅行商路径优化的遗传禁忌搜索算法. 测绘学报 , 43(11): 1197-1203. doi: 10.13485/j.cnki.11-2089.2014.0184
  8. 刘康, 段滢滢, 陆锋. 2014. 基于拓扑与形态特征的城市道路交通状态空间自相关分析. 地球信息科学学报 , 16(3): 390-395. doi: 10.3724/SP.J.1047.2014.00390
  9. 翟瀚, 陈洁*, 陆锋, 张晶. 2014. 群体互动时空可达性评价模型. 地球信息科学学报 , 16(6): 859-866. doi: 10.3724/SP.J.1047.2014.00859
  10. 陈洁, 陆锋, 翟瀚, 萧世伦. 2015. 面向活动地点推荐的个人时空可达性方法. 地理学报 , 70(6): 931-940. doi: 10.11821/dlxb201506007
  11. 刘希亮, 陆锋. 2015. 适于城市交通时序空间数据预测的层叠泛化模型. 地球信息科学学报 , 17(12): 1474-1482. doi: 10.3724/SP.J.1047.2015.01474
  12. 刘康, 段滢滢, 张恒才*. 2015. 基于路网拓扑层次性表达的驾车路径规划方法. 地球信息科学学报 , 17(9): 1039-1046. doi: 10.3724/SP.J.1047.2015.01039
  13. Xiliang Liu, Feng Lu. 2015. ST-CRF: A novel map matching approach for low-frequency floating car data. In Proceedings of the 6th ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS ’15), Bellevue, WA, USA: 9-18. doi: 10.1145/2833165.2833169
  14. Jianqin Zhang, Peiyuan Qiu, Yingchao Duan, Mingyi Du, Feng Lu. 2015. A space-time visualization analysis method for taxi operation in Beijing. Journal of Visual Languages & Computing, 31, Part A: 1-8. doi: 10.1016/j.jvlc.2015.09.002
  15. Ziliang Zhao, Shih-Lung Shaw*, Yang Xu, Feng Lu, Jie Chen, Ling Yin. 2016. Understanding the bias of call detail records in human mobility research. International Journal of Geographical Information Science, 30(9): 1738-1762. doi: 10.1080/13658816.2015.1137298
  16. Yang Xu, Shih-Lung Shaw, Ziliang Zhao, Ling Yin, Feng Lu, Jie Chen, Zhixiang Fang, Qingquan Li. 2016. Another tale of two cities: Understanding human activity space using actively tracked cellphone location data. Annals of the American Association of Geographers, 106(2): 489-502. doi: 10.1080/00045608.2015.1120147
  17. Kang Liu, Peiyuan Qiu, Mingxiao Li, Xiliang Liu*, Feng Lu. 2016. Exploring urban travel routes’ characteristics from a geometric perspective. In Proceedings of the 24th International Conference on Geoinformatics (Geoinformatics 2016), Galway, Ireland: 1-6. doi: 10.1109/GEOINFORMATICS.2016.7578981
  18. Xiliang Liu, Li Yu, Peng Peng, Feng Lu*. 2016. A stacked generalization framework for city traffic related geospatial data analysis. In Proceedings of the 18th Asia Pacific Web Conference (APWeb 2016), Suzhou, China: 265-276. doi: 10.1007/978-3-319-45835-9_23
  19. Xiliang Liu, Feng Lu, Kang Liu, Peiyuan Qiu, Li Yu, Mingxiao Li. 2016. A principal curve-based method for geospatial data smoothing. In Proceedings of the 9th International Conference on Geographic Information Science (GIScience 2016), Montreal, Canada: 352-355. doi: 10.21433/B3118ng293vd
  20. 刘希亮, 程诗奋, 余丽, 刘康, 陆锋*. 2016. 架起GIS与计算机科学的桥梁：ACM SIGSPATIAL 2015会议综述. 地球信息科学学报 , 18(11): 1448-1455. doi: 10.3724/SP.J.1047.2016.01448
  21. 陈洁, 萧世伦, 陆锋. 2016. 面向人类行为研究的时空GIS. 地球信息科学学报 , 18(12): 1583-1587. doi: 10.3724/SP.J.1047.2016.01583
  22. Xiliang Liu, Kang Liu, Mingxiao Li, Feng Lu*. 2017. A ST-CRF map-matching method for low-frequency floating car data. IEEE Transactions on Intelligent Transportation Systems, 18(5): 1241-1254. doi: 10.1109/TITS.2016.2604484
  23. Shifen Cheng, Feng Lu*. 2017. A two-step method for missing spatio-temporal data reconstruction. ISPRS International Journal of Geo-Information, 6(7): 187. doi: 10.3390/ijgi6070187
  24. Xiliang Liu, Li Yu, Kang Liu, Peng Peng, Shifen Cheng, Mengdi Liao, Feng Lu*. 2017. ST-PF: Spatio-temporal particle filter for floating-car data pre-processing. In Proceedings of the 8th International Symposium “Information Fusion and Intelligent Geographic Information Systems” (IF&IGIS’17), Shanghai, China: 197-211. doi: 10.1007/978-3-319-59539-9_15
  25. 李明晓, 陈洁*, 张恒才, 仇培元, 刘康, 陆锋. 2017. 上海市精细时空尺度人口分布估计与特征分析. 地球信息科学学报 , 19(6): 800-807. doi: 10.3724/SP.J.1047.2017.00800
  26. Kang Liu, Song Gao, Peiyuan Qiu, Xiliang Liu, Bo Yan, Feng Lu*. 2017. Road2Vec: Measuring traffic interactions in urban road system from massive travel routes. ISPRS International Journal of Geo-Information, 6(11): 321. doi: 10.3390/ijgi6110321
  27. 刘康, 仇培元, 刘希亮, 张恒才, 王少华, 陆锋*. 2017. 利用词向量模型分析城市道路交通空间相关性. 测绘学报 , 46(12): 2032-2040. doi: 10.11947/j.AGCS.2017.20170166
  28. Yang Xu, Shih-Lung Shaw*, Feng Lu, Jie Chen, Qingquan Li. 2018. Uncovering the relationships between phone communication activities and spatiotemporal distribution of mobile phone users. In Human Dynamics Research in Smart and Connected Communities, Springer International Publishing, Cham: 41-65. doi: 10.1007/978-3-319-73247-3_3
  29. Feng Lu*, Kang Liu, Yingying Duan**, Shifen Cheng, Fei Du. 2018. Modeling the heterogeneous traffic correlations in urban road systems using traffic-enhanced community detection approach. Physica A: Statistical Mechanics and its Applications, 501: 227-237. doi: 10.1016/j.physa.2018.02.062
  30. Jie Chen, Tao Pei*, Shih-Lung Shaw, Feng Lu, Mingxiao Li, Shifen Cheng, Xiliang Liu, Hengcai Zhang. 2018. Fine-grained prediction of urban population using mobile phone location data. International Journal of Geographical Information Science, 32(9): 1770-1786. doi: 10.1080/13658816.2018.1460753
  31. Shifen Cheng, Feng Lu*, Peng Peng, Sheng Wu. 2018. Short-term traffic forecasting: An adaptive ST-KNN model that considers spatial heterogeneity. Computers, Environment and Urban Systems, 71: 186-198. doi: 10.1016/j.compenvurbsys.2018.05.009
  32. 陈丽娜, 吴升, 陈洁*, 李明晓, 陆锋. 2018. 基于手机定位数据的城市人口分布近实时预测. 地球信息科学学报 , 20(4): 523-531. doi: 10.12082/dqxxkx.2018.170536
  33. Shifen Cheng, Feng Lu*. 2018. Short-term traffic forecasting: A dynamic ST-KNN model considering spatial heterogeneity and temporal non-stationarity. In Proceedings of the Workshops of the EDBT/ICDT 2018 Joint Conference, Vienna, Austria: 133-140.
  34. Shifen Cheng, Feng Lu*, Peng Peng, Sheng Wu. 2018. A spatiotemporal multi-view-based learning method for short-term traffic forecasting. ISPRS International Journal of Geo-Information, 7(6): 218. doi: 10.3390/ijgi7060218
  35. Kang Liu, Song Gao, Feng Lu*. 2019. Identifying spatial interaction patterns of vehicle movements on urban road networks by topic modelling. Computers, Environment and Urban Systems, 74: 50-61. doi: 10.1016/j.compenvurbsys.2018.12.001
  36. Shifen Cheng, Feng Lu*, Peng Peng, Sheng Wu. 2019. Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting. Knowledge-Based Systems, 180: 116-132. doi: 10.1016/j.knosys.2019.05.023
  37. Beibei Zhang, Sheng Wu, Shifen Cheng*, Feng Lu, Peng Peng. 2019. Spatial characteristics and factor analysis of pollution emission from heavy-duty diesel trucks in the Beijing-Tianjin-Hebei region, China. International Journal of Environmental Research and Public Health, 16(24): 4973. doi: 10.3390/ijerph16244973
  38. Mingxiao Li, Song Gao, Feng Lu, Huan Tong, Hengcai Zhang*. 2019. Dynamic estimation of individual exposure levels to air pollution using trajectories reconstructed from mobile phone data. International Journal of Environmental Research and Public Health, 16(22): 4522. doi: 10.3390/ijerph16224522
  39. Kang Liu, Peiyuan Qiu, Song Gao, Feng Lu, Jincheng Jiang*, Ling Yin*. 2020. Investigating urban metro stations as cognitive places in cities using points of interest. Cities, 97: 102561. doi: 10.1016/j.cities.2019.102561
  40. Kang Liu, Ling Yin*, Feng Lu, Naixia Mou. 2020. Visualizing and exploring POI configurations of urban regions on POI-type semantic space. Cities, 99: 102610. doi: 10.1016/j.cities.2020.102610
  41. Shifen Cheng, Beibei Zhang, Peng Peng, Zhenzhen Yang, Feng Lu*. 2020. Spatiotemporal evolution pattern detection for heavy-duty diesel truck emissions using trajectory mining: A case study of Tianjin, China. Journal of Cleaner Production, 244: 118654. doi: 10.1016/j.jclepro.2019.118654
  42. Shifen Cheng, Feng Lu*, Peng Peng. 2020. A high-resolution emissions inventory and its spatiotemporal pattern variations for heavy-duty diesel trucks in Beijing, China. Journal of Cleaner Production, 250: 119445. doi: 10.1016/j.jclepro.2019.119445
  43. Shifen Cheng, Peng Peng, Feng Lu*. 2020. A lightweight ensemble spatiotemporal interpolation model for geospatial data. International Journal of Geographical Information Science, (Early Access): 1-24. doi: 10.1080/13658816.2020.1725016
  44. Shifen Cheng, Feng Lu*, Peng Peng. 2020. Short-term traffic forecasting by mining the non-stationarity of spatiotemporal patterns. IEEE Transactions on Intelligent Transportation Systems, (Early Access): 1-19. doi: 10.1109/TITS.2020.2991781

■   移动对象数据库与LBS方向

  1. 陆锋, 杨必胜. 2014. 移动GIS与位置服务进展研究. 地理学学科发展报告（地图学与地理信息系统）, 中国科学技术出版社, 北京.
  2. 张恒才, 陆锋*, 陈洁. 2014. 移动对象时空轨迹及社交关系一体化数据模型. 武汉大学学报(信息科学版), 39(6): 711-718. doi: 10.13203/j.whugis20140125
  3. Hengcai Zhang, Feng Lu*, Jie Chen. 2016. A geo-social data model for moving objects. In Proceedings of the First International Conference (DMBD 2016), Bali, Indonesia: 115-122. doi: 10.1007/978-3-319-40973-3_11
  4. Hengcai Zhang, Feng Lu*, Jianqiu Xu. 2016. Modeling and querying moving objects with social relationships. ISPRS International Journal of Geo-Information, 5(7): 121. doi: 10.3390/ijgi5070121
  5. Hengcai Zhang, Feng Lu*, Jie Chen. 2016. A line graph-based continuous range query method for moving objects in networks. ISPRS International Journal of Geo-Information, 5(12): 246. doi: 10.3390/ijgi5120246
  6. Hengcai Zhang, Feng Lu*. 2017. GSMNet: A hierarchical graph model for moving objects in networks. ISPRS International Journal of Geo-Information, 6(3): 71. doi: 10.3390/ijgi6030071
  7. 李明晓, 张恒才*, 仇培元, 程诗奋, 陈洁, 陆锋. 2018. 一种基于模糊长短期神经网络的移动对象轨迹预测算法. 测绘学报 , 47(12): 1660-1669. doi: 10.11947/j.AGCS.2018.20170268
  8. Mingxiao Li, Feng Lu, Hengcai Zhang*, Jie Chen. 2020. Predicting future locations of moving objects with deep fuzzy-LSTM networks. Transportmetrica A: Transport Science, 16(1): 119-136. doi: 10.1080/23249935.2018.1552334
  9. Mingxiao Li, Song Gao, Feng Lu, Hengcai Zhang*. 2019. Reconstruction of human movement trajectories from large-scale low-frequency mobile phone data. Computers, Environment and Urban Systems, 77: 101346. doi: 10.1016/j.compenvurbsys.2019.101346
  10. 傅梦颖, 张恒才*, 王培晓, 吴升, 陆锋. 2019. 基于移动对象轨迹的室内导航网络构建方法. 地球信息科学学报 , 21(5): 631-640. doi: 10.12082/dqxxkx.2019.190024
  11. Chunlei Mi, Feng Lu*. 2019. A method of urban road network extraction based on floating car trajectory data. In Proceedings of the Workshops of the ISPRS Geospatial Week 2019 (Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13), Enschede, The Netherlands: 1579-1585. doi: 10.5194/isprs-archives-XLII-2-W13-1579-2019
  12. Peixiao Wang, Hongen Wang, Hengcai Zhang*, Feng Lu, Sheng Wu*. 2019. A hybrid Markov and LSTM model for indoor location prediction. IEEE Access, 7: 185928-185940. doi: 10.1109/ACCESS.2019.2961559

■   自然语言处理与知识图谱方向

  1. 余丽, 陆锋*, 张恒才. 2015. 网络文本蕴涵地理信息抽取:研究进展与展望. 地球信息科学学报 , 17(2): 127-134. doi: 10.3724/SP.J.1047.2015.00127
  2. 张恒才, 陆锋, 仇培元. 2015. 基于D-S证据理论的微博客蕴含交通信息提取方法. 中文信息学报 , 29(2): 170-178. [link]
  3. 仇培元, 张恒才*, 陆锋. 2015. 互联网文本蕴含道路交通信息抽取的模式匹配方法. 地球信息科学学报 , 17(4): 416-422. doi: 10.3724/SP.J.1047.2015.00416
  4. 仇培元, 陆锋, 张恒才*, 余丽. 2016. 蕴含地理事件微博客消息的自动识别方法. 地球信息科学学报 , 18(7): 886-893. doi: 10.3724/SP.J.1047.2016.00886
  5. 余丽, 陆锋*, 刘希亮. 2016. 开放式地理实体关系抽取的Bootstrapping方法. 测绘学报 , 45(5): 616-622. doi: 10.11947/j.AGCS.2016.20150181
  6. 余丽, 陆锋*, 刘希亮, 程诗奋, 张雪英. 2016. 稀疏地理实体关系的关键词提取方法. 地球信息科学学报 , 18(11): 1465-1475. doi: 10.3724/SP.J.1047.2016.01465
  7. Li Yu, Xiliang Liu, Mingxiao Li, Peng Peng, Feng Lu. 2016. A holistic framework of geographical semantic web aligning. In Proceedings of the 10th Workshop on Geographic Information Retrieval (GIR ’16), Burlingame, California, USA: 1:1-1:10. doi: 10.1145/3003464.3003465
  8. 陆锋, 余丽, 仇培元. 2017. 论地理知识图谱. 地球信息科学学报 , 19(6): 723-734. doi: 10.3724/SP.J.1047.2017.00723
  9. 仇培元, 张恒才, 余丽, 陆锋. 2017. 微博客蕴含交通事件信息抽取的自动标注方法. 中文信息学报 , 31(2): 107-116. [link]
  10. Li Yu, Peiyuan Qiu, Xiliang Liu, Feng Lu*, Bo Wan. 2018. A holistic approach to aligning geospatial data with multidimensional similarity measuring. International Journal of Digital Earth, 11(8): 845-862. doi: 10.1080/17538947.2017.1359688
  11. 王姬卜, 陆锋, 吴升, 余丽*. 2018. 基于自动回标的地理实体关系语料库构建方法. 地球信息科学学报 , 20(7): 871-879. doi: 10.12082/dqxxkx.2018.180032
  12. 杨杰, 诸云强*, 宋佳, 陆锋, 孙凯, 李威蓉. 2018. 地理空间模型自动数据匹配结果精准表达方法. 地球信息科学学报 , 20(6): 744-752. doi: 10.12082/dqxxkx.2018.180113
  13. Li Yu, Peiyuan Qiu, Jialiang Gao, Feng Lu*. 2019. A knowledge-based filtering method for open relations among geo-entities. ISPRS International Journal of Geo-Information, 8(2): 59. doi: 10.3390/ijgi8020059
  14. Peiyuan Qiu, Jialiang Gao, Li Yu, Feng Lu*. 2019. Knowledge embedding with geospatial distance restriction for geographic knowledge graph completion. ISPRS International Journal of Geo-Information, 8(6): 254. doi: 10.3390/ijgi8060254
  15. Peiyuan Qiu, Li Yu, Jialiang Gao, Feng Lu*. 2019. Detecting geo-relation phrases from web texts for triplet extraction of geographic knowledge: a context-enhanced method. Big Earth Data, 3(3): 297-314. doi: 10.1080/20964471.2019.1657719
  16. 高嘉良, 余丽*, 仇培元, 陆锋. 2019. 基于通用知识库的地理实体开放关系过滤方法. 地球信息科学学报 , 21(9): 1392-1401. doi: 10.12082/dqxxkx.2019.190005
  17. 黄宗财, 仇培元, 陆锋, 吴升*. 2019. 基于联合主题特征的网络新闻文本蕴含环境污染事件检测. 地球信息科学学报 , 21(10): 1510-1517. doi: 10.12082/dqxxkx.2019.190037
  18. 高嘉良, 仇培元, 余丽, 黄宗财, 陆锋*. 2020. 基于旅游知识图谱的可解释景点推荐. 中国科学: 信息科学 , 50(7): 1055-1068. doi: 10.1360/SSI-2019-0268

■   海运船舶轨迹数据挖掘方向

  1. Jinhai Chen*, Feng Lu*, Guojun Peng. 2015. A quantitative approach for delineating principal fairways of ship passages through a strait. Ocean Engineering, 103: 188-197. doi: 10.1016/j.oceaneng.2015.04.077
  2. 陈金海, 陆锋*, 李明晓. 2015. 海上主航迹带边界统计推断与海西航路警戒区布局优化分析. 地球信息科学学报 , 17(10): 1196-1206. doi: 10.3724/SP.J.1047.2015.01196
  3. 葛全胜, 江东*, 陆锋, 邓祥征, 王绍强. 2017. 地缘环境系统模拟研究探讨. 地理学报 , 72(3): 371-381. doi: 10.11821/dlxb201703001
  4. 彭澎, 程诗奋, 刘希亮, 梅强, 陆锋*. 2017. 全球海洋运输网络健壮性评估. 地理学报 , 72(12): 2241-2251. doi: 10.11821/dlxb201712009
  5. 杨忍, 牟乃夏*, 彭澎, 刘希亮, 张恒才, 陆锋. 2018. “海上丝绸之路” 沿线重要港口竞争力评价. 地球信息科学学报 , 20(5): 623-631. doi: 10.12082/dqxxkx.2018.170515
  6. 余红楚, 方志祥*, 陆锋, 彭澎, 赵志远, 冯明翔. 2018. 重要经济发展区域间海运网络时空演变特性分析. 地球信息科学学报 , 20(5): 1-11. doi: 10.12082/dqxxkx.2018.180085
  7. Quansheng Ge, Dong Jiang*, Feng Lu, Jingying Fu, Shaoqiang Wang, Xiangzheng Deng. 2018. Spatio-temporal simulation of the geopolitical environment system. Journal of Geographical Sciences, 28(7): 871-880. doi: 10.1007/s11442-018-1510-0
  8. Peng Peng, Shifen Cheng, Jinhai Chen, Mengdi Liao, Lin Wu, Xiliang Liu, Feng Lu*. 2018. A fine-grained perspective on the robustness of global cargo ship transportation networks. Journal of Geographical Sciences, 28(7): 881-889. doi: 10.1007/s11442-018-1511-z
  9. Zhixiang Fang, Hongchu Yu*, Feng Lu, Mingxiang Feng, Meng Huang. 2018. Maritime network dynamics before and after international events. Journal of Geographical Sciences, 28(7): 937-956. doi: 10.1007/s11442-018-1514-9
  10. Peng Peng, Yu Yang, Feng Lu*, Shifen Cheng, Naixia Mou, Ren Yang. 2018. Modelling the competitiveness of the ports along the Maritime Silk Road with big data. Transportation Research Part A: Policy and Practice, 118: 852-867. doi: 10.1016/j.tra.2018.10.041
  11. Peng Peng, Yu Yang, Shifen Cheng, Feng Lu*, Zimu Yuan. 2019. Hub-and-spoke structure: Characterizing the global crude oil transport network with mass vessel trajectories. Energy, 168: 966-974. doi: 10.1016/j.energy.2018.11.049
  12. Peng Peng, Jessie P. H. Poon, Yu Yang**, Feng Lu*, Shifen Cheng. 2019. Global oil traffic network and diffusion of influence among ports using real time data. Energy, 172: 333-342. doi: 10.1016/j.energy.2019.01.118
  13. Hongchu Yu, Zhixiang Fang*, Feng Lu, Alan T. Murray, Hengcai Zhang, Peng Peng, Qiang Mei, Jinhai Chen. 2019. Impact of oil price fluctuations on tanker maritime network structure and traffic flow changes. Applied Energy, 237: 390-403. doi: 10.1016/j.apenergy.2019.01.011
  14. 陈闪闪, 彭澎*, 陆锋, 吴升. 2019. 海洋主航道对全球集装箱运输网络的影响分析. 地理研究 , 38(9): 2273-2287. doi: 10.11821/dlyj020181375
  15. Peng Peng, Feng Lu*. 2020. Mapping the Port Influence Diffusion Patterns: A Case Study of Rotterdam, Antwerp and Singapore. In Proceedings of the 20th International Conference on Computational Science (ICCS 2020), Amsterdam, The Netherlands: 266–276. doi: 10.1007/978-3-030-50423-6_20
  16. Peng Peng, Shifen Cheng, Feng Lu*. 2020. Characterizing the global liquefied petroleum gas trading community using mass vessel trajectory data. Journal of Cleaner Production, 252: 119883. doi: 10.1016/j.jclepro.2019.119883
  17. 彭澎, 程诗奋, 陈闪闪, 陆锋. 2020. 全球液化石油气运输网络贸易社区特征及其演化分析. 自然资源学报 , (录用待刊).

 

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
郑圣洁（团队助理）
zhengsj@lreis.ac.cn
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