■ 电子邮箱：pengp@lreis.ac.cn
■ 外部链接：Google Scholar
彭澎，男，1989年生，湖南岳阳人，博士，中国科学院地理科学与资源研究所博士后、特别研究助理。主要从事复杂网络分析、海事大数据挖掘等研究。已发表科研论文23篇，第一作者/通讯作者论文9篇，申请或授权发明专利11项；受邀担任SCI期刊IJGI客座编辑、第二届海事大数据国际研讨会组委会成员。并担任Transport Reviews, Transportation Research Part E, Ocean Engineering, Maritime Policy & Management, Journal of Cleaner Production等领域主流SCI期刊审稿人。
研究兴趣
- 复杂网络分析、海事大数据挖掘
工作经历
- 2019年7月-至今，中国科学院地理科学与资源研究所，博士后、特别研究助理，合作导师：陆锋
学习经历
- 2015年9月-2019年6月，中国科学院地理科学与资源研究所，博士，导师：陆锋
- 2011年9月-2013年6月，武汉大学，硕士，导师：朱欣焰
- 2007年9月-2011年6月，河海大学，学士
发表论著
- 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 [Abstract]
- 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
- 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
- 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
- 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
- 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 [Abstract]
- 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 [Abstract]
- 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
- 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).
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Naixia Mou, Caixia Liu*, Lingxian Zhang, Xin Fu*, Yichun Xie, Yong Li, Peng Peng. 2018. Spatial pattern and regional relevance analysis of the Maritime Silk Road shipping network. Sustainability, 10(4): 977. doi: 10.3390/su10040977
- 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 [Abstract]
- 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
- 梅强, 吴琳, 彭澎, 周鹏, 陈金海*. 2018. 南海区域商船典型空间分布及贸易流向研究. 地球信息科学学报, 20(5): 632–639. doi: 10.12082/dqxxkx.2018.180017
- 牟乃夏, 廖梦迪, 张恒才*, 彭澎, 刘希亮. 2018. “海上丝绸之路” 沿线重要港口区位优势度评估. 地球信息科学学报, 20(5): 613–622. doi: 10.12082/dqxxkx.2018.170514
- 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
科研项目
- 国家自然科学基金青年基金项目，全球海洋油气运输网络结构特征、动态健壮性及关键港口影响力研究, 2021.01-2023.12，在研, 主持.
- 中国科学院特别研究助理项目, 多层网络视角下全球海洋油气运输格局及其演化研究, 2020.01-2022.12, 在研, 主持.
- 中国博士后科学基金面上项目第66批, 2020.01-2022.6, 在研, 主持.
- 中国博士后科学基金特别资助第13批, 2020.08-2022.6, 在研, 主持.
- 中国科学院战略性先导科技专项, 生态文明建设地理图景技术与应用示范, 2019.01-2023.12, 在研, 参与.
- 国家自然科学基金委员会重点基金项目, 网络文本蕴含地理信息理解与知识图构建, 2017.01-2021.12, 在研, 参与.
- 中国科学院重点部署课题, 北极航道演变对地缘环境影响, 2017.01-2020.12, 在研, 参与.
- 中国科学院重点部署课题, 印度洋港口地缘优势分析与运输态势动态评估, 2016.01-2019.12, 已结题，参与.