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Characterizing the global liquefied petroleum gas trading community using mass vessel trajectory data 期刊论文
JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 252, 页码: 9
Authors:  Peng, Peng;  Cheng, Shifen;  Lu, Feng
Favorite  |  View/Download：10/0  |  Submit date：2020/05/19
Liquefied petroleum gas  Vessel trajectory data  Complex network  Trading community  Multiple transshipments  
A high-resolution emissions inventory and its spatiotemporal pattern variations for heavy-duty diesel trucks in Beijing, China 期刊论文
JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 250, 页码: 14
Authors:  Cheng, Shifen;  Lu, Feng;  Peng, Peng
Favorite  |  View/Download：11/0  |  Submit date：2020/05/19
Heavy-duty diesel trucks  Traffic emissions  Vehicle emissions inventory  Spatiotemporal patterns  
A lightweight ensemble spatiotemporal interpolation model for geospatial data 期刊论文
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2020, 页码: 24
Authors:  Cheng, Shifen;  Peng, Peng;  Lu, Feng
Favorite  |  View/Download：9/0  |  Submit date：2020/05/19
Spatiotemporal interpolation  spatiotemporal dependence  lightweight ensemble  extreme learning machine  
Spatiotemporal evolution pattern detection for heavy-duty diesel truck emissions using trajectory mining: A case study of Tianjin, China 期刊论文
JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 244, 页码: 17
Authors:  Cheng, Shifen;  Zhang, Beibei;  Peng, Peng;  Yang, Zhenzhen;  Lu, Feng
Favorite  |  View/Download：9/0  |  Submit date：2020/05/19
Heavy-duty diesel trucks  Transport emission  Trajectory mining  Spatiotemporal cube  Spatiotemporal evolution pattern  
Spatial Characteristics and Factor Analysis of Pollution Emission from Heavy-Duty Diesel Trucks in the Beijing-Tianjin-Hebei Region, China 期刊论文
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 卷号: 16, 期号: 24, 页码: 16
Authors:  Zhang, Beibei;  Wu, Sheng;  Cheng, Shifen;  Lu, Feng;  Peng, Peng
Favorite  |  View/Download：9/0  |  Submit date：2020/05/19
heavy-duty diesel trucks  socioeconomic factors  spatial autocorrelation characteristic  spatial econometric model  geographical detector technique  
Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2019, 卷号: 180, 页码: 116-132
Authors:  Cheng, Shifen;  Lu, Feng;  Peng, Peng;  Wu, Sheng
Favorite  |  View/Download：23/0  |  Submit date：2019/09/24
Multi-view learning  Multi-task learning  Particle swarm optimization  Spatiotemporal dependency  Spatiotemporal heterogeneity  Task relationship learning  
Global oil traffic network and diffusion of influence among ports using real time data 期刊论文
ENERGY, 2019, 卷号: 172, 页码: 333-342
Authors:  Peng, Peng;  Poon, Jessie P. H.;  Yang, Yu;  Lu, Feng;  Cheng, Shifen
Favorite  |  View/Download：23/0  |  Submit date：2019/05/22
Global oil traffic networks  Automatic identification system  Ports  Modified liner threshold model  Influence diffusion  
Hub-and-spoke structure: Characterizing the global crude oil transport network with mass vessel trajectories 期刊论文
ENERGY, 2019, 卷号: 168, 页码: 966-974
Authors:  Peng, Peng;  Yang, Yu;  Cheng, Shifen;  Lu, Feng;  Yuan, Zimu
Favorite  |  View/Download：15/0  |  Submit date：2019/05/22
Crude oil trade  Automatic identification system  Complex network  K-core decomposition  Hub-and-spoke structure  
Modelling the competitiveness of the ports along the Maritime Silk Road with big data 期刊论文
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2018, 卷号: 118, 页码: 852-867
Authors:  Peng, Peng;  Yang, Yu;  Lu, Feng;  Cheng, Shifen;  Mou, Naixia;  Yang, Ren
Favorite  |  View/Download：23/0  |  Submit date：2019/05/23
Port competitiveness  Maritime Silk Road  Evaluation model  Entropy-AHP method  Vessel trajectory  Maritime transport network  
Short-term traffic forecasting: An adaptive ST-KNN model that considers spatial heterogeneity 期刊论文
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2018, 卷号: 71, 页码: 186-198
Authors:  Cheng, Shifen;  Lu, Feng;  Peng, Peng;  Wu, Sheng
Favorite  |  View/Download：14/0  |  Submit date：2019/05/23
Short-term traffic forecasting  Adaptive spatiotemporal k-nearest neighbor model  Spatial heterogeneity  Traffic patterns