Peng Peng
Cited by
Cited by
Short-term traffic forecasting: An adaptive ST-KNN model that considers spatial heterogeneity
S Cheng, F Lu, P Peng, S Wu
Computers, Environment and Urban Systems 71, 186-198, 2018
Modelling the competitiveness of the ports along the Maritime Silk Road with big data
P Peng, Y Yang, F Lu, S Cheng, N Mou, R Yang
Transportation Research Part A: Policy and Practice 118, 852-867, 2018
A fine-grained perspective on the robustness of global cargo ship transportation networks
P Peng, S Cheng, J Chen, M Liao, L Wu, X Liu, F Lu
Journal of Geographical Sciences 28, 881-889, 2018
Hub-and-spoke structure: Characterizing the global crude oil transport network with mass vessel trajectories
P Peng, Y Yang, S Cheng, F Lu, Z Yuan
Energy 168, 966-974, 2019
Spatial pattern and regional relevance analysis of the maritime silk road shipping network
N Mou, C Liu, L Zhang, X Fu, Y Xie, Y Li, P Peng
Sustainability 10 (4), 977, 2018
Mapping the global liquefied natural gas trade network: A perspective of maritime transportation
P Peng, F Lu, S Cheng, Y Yang
Journal of Cleaner Production 283, 124640, 2021
Short-term traffic forecasting by mining the non-stationarity of spatiotemporal patterns
S Cheng, F Lu, P Peng
IEEE Transactions on Intelligent Transportation Systems 22 (10), 6365-6383, 2020
Impact of oil price fluctuations on tanker maritime network structure and traffic flow changes
H Yu, Z Fang, F Lu, AT Murray, H Zhang, P Peng, Q Mei, J Chen
Applied Energy 237, 390-403, 2019
A high-resolution emissions inventory and its spatiotemporal pattern variations for heavy-duty diesel trucks in Beijing, China
S Cheng, F Lu, P Peng
Journal of Cleaner Production 250, 119445, 2020
Multi-task and multi-view learning based on particle swarm optimization for short-term traffic forecasting
S Cheng, F Lu, P Peng, S Wu
Knowledge-Based Systems 180, 116-132, 2019
Spatiotemporal evolution pattern detection for heavy-duty diesel truck emissions using trajectory mining: A case study of Tianjin, China
S Cheng, B Zhang, P Peng, Z Yang, F Lu
Journal of Cleaner Production 244, 118654, 2020
Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges
M Chen, C Claramunt, A Çöltekin, X Liu, P Peng, AC Robinson, D Wang, ...
Earth-Science Reviews 241, 104438, 2023
Leveraging spatio-temporal graphs and knowledge graphs: Perspectives in the field of maritime transportation
G Del Mondo, P Peng, J Gensel, C Claramunt, F Lu
ISPRS International Journal of Geo-Information 10 (8), 541, 2021
Global oil traffic network and diffusion of influence among ports using real time data
P Peng, JPH Poon, Y Yang, F Lu, S Cheng
Energy 172, 333-342, 2019
A spatiotemporal multi-view-based learning method for short-term traffic forecasting
S Cheng, F Lu, P Peng, S Wu
ISPRS International Journal of Geo-Information 7 (6), 218, 2018
The robustness evaluation of global maritime transportation networks
P Peng, S Cheng, X Liu, Q Mei, F Lu
Acta Geographica Sinica 72 (12), 2241-2251, 2017
Emission characteristics and control scenario analysis of VOCs from heavy-duty diesel trucks
S Cheng, F Lu, P Peng, J Zheng
Journal of Environmental Management 293, 112915, 2021
A multi-scale comparison of tourism attraction networks across China
J Gao, P Peng, F Lu, C Claramunt
Tourism Management 90, 104489, 2022
A lightweight ensemble spatiotemporal interpolation model for geospatial data
S Cheng, P Peng, F Lu
International Journal of Geographical Information Science 34 (9), 1849-1872, 2020
Characterizing the global liquefied petroleum gas trading community using mass vessel trajectory data
P Peng, S Cheng, F Lu
Journal of Cleaner Production 252, 119883, 2020
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