On the Analysis of Moscow Metro Passenger Flows
The paper considers the model of analysis of passenger traffic of the Moscow Metro. The initial information for the analysis is the correspondence matrix describing the number of passengers traveling between pairs of metro stations for a specified time interval. This kind of data is collected on the basis of information from mobile operators. This kind
Filipp S. Pomatilov, Dmitry E. Namiot
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A Dynamic Correlation‐Information‐Fusion‐Based Spatiotemporal Network for Traffic Flow Forecasting
ABSTRACT Traffic Flow Forecasting (TFF) is a foundational task in the development of Intelligent Transport Systems (ITSs). The primary challenge is to undertake a comprehensive exploration of the intrinsic dynamic spatiotemporal correlations of the road network, unveiling the long‐term evolutionary traffic trends.
Dawen Xia +6 more
wiley +1 more source
Study on the adaptability of multilayer subway network under sudden large passenger flow disturbances. [PDF]
Lin NN, Yuan HW, Huang HT, Liu ZG.
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Passenger Flow Forecasting in Metro Transfer Station Based on the Combination of Singular Spectrum Analysis and AdaBoost-Weighted Extreme Learning Machine. [PDF]
Zhou W, Wang W, Zhao.
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Read the free Plain Language Summary for this article on the Journal blog. Abstract While fungal composition has been linked to soil carbon at global scales, these patterns are often difficult to disentangle from broad climatic gradients and species range limits. To address this constraint, we tested which aspects of ectomycorrhizal community structure
Robert A. Barber +14 more
wiley +1 more source
LTiT: A Deep Learning Model for Subway Section Passenger Flow Prediction Based on LSTM-TSSA-iTransformer. [PDF]
Liu J, Chen Y, Li Y, Yu F.
europepmc +1 more source
Bus passenger flow congestion risk evaluation model based on the Pressure-State-Response framework: A case study in Beijing. [PDF]
Ma S +4 more
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Abstract Efficiency is a pervasive yet insufficiently challenged managerial principle and an integral part of business school academia. However, while there is compelling evidence that efficiency gains can have severe undesirable social and ecological consequences that reduce overall welfare both in terms of well‐being and natural resources, business ...
Stephan M. Schaefer, Christopher Wickert
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Correction: Empirical mode decomposition based long short-term memory neural network forecasting model for the short-term metro passenger flow. [PDF]
Chen Q +6 more
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International Tourism in the Global South: Revealing an Extractive Development Process
Abstract Hosting international tourism remains a key development strategy for many Global South countries to generate economic growth, government revenue and employment. However, this conventional wisdom can be contested: tourism may instead be seen as an extractive process that disrupts livelihoods, ecosystems and host economies.
Julia Jeyacheya, Mark P. Hampton
wiley +1 more source

