Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learning Mobility Flows from Urban Features with Spatial Interaction
  Models and Neural Networks   A fundamental problem of interest to policy makers, urban planners, and other
stakeholders involved in urban development projects is assessing the impact of
planning and construction activities on mobility flows. This is a challenging
task due to the different spatial, temporal, social, and economic factors
influencing urban mobility flows. These flows, along with the influencing
factors, can be modelled as attributed graphs with both node and edge features
characterising locations in a city and the various types of relationships
between them. In this paper, we address the problem of assessing
origin-destination (OD) car flows between a location of interest and every
other location in a city, given their features and the structural
characteristics of the graph. We propose three neural network architectures,
including graph neural networks (GNN), and conduct a systematic comparison
between the proposed methods and state-of-the-art spatial interaction models,
their modifications, and machine learning approaches. The objective of the
paper is to address the practical problem of estimating potential flow between
an urban development project location and other locations in the city, where
the features of the project location are known in advance. We evaluate the
performance of the models on a regression task using a custom data set of
attributed car OD flows in London. We also visualise the model performance by
showing the spatial distribution of flow residuals across London.

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The categories of this paper are: math-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: chao-dyn
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The categories of this paper are: plasm-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: gr-qc
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The categories of this paper are: patt-sol
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The categories of this paper are: bayes-an
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The categories of this paper are: dg-ga
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The categories of this paper are: math
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The categories of this paper are: hep-th
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The categories of this paper are: acc-phys
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The categories of this paper are: hep-lat
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The categories of this paper are: eess
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The categories of this paper are: q-bio
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The categories of this paper are: comp-gas