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中国科学院地理科学与资源研究所机构知识库
KMS Institute Of Geographic Sciences And Natural Resources Research,CAS
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陆锋 [18]
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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
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View/Download:10/0
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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
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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
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View/Download:9/0
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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
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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
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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
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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
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View/Download:23/0
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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
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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
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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
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View/Download:14/0
  |  
Submit date:2019/05/23
Short-term traffic forecasting
Adaptive spatiotemporal k-nearest neighbor model
Spatial heterogeneity
Traffic patterns