Article

FairMobi-Net: A Fairness-Aware Deep Learning Model for Urban Mobility Flow Generation

2023-09-07

Abstract excerpt

Generating realistic human flows across regions is essential for our understanding of urban structures and population activity patterns, enabling important applications in the fields of urban planning and management. However, a notable shortcoming of most existing mobility generation methodologies is neglect of prediction fairness, which can result in underestimation of mobility flows across regions with vulnerabl...

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Literature Corpus work: bcf6dc4c-e878-5d00-a89b-f4d7d3ccf064
DOI: 10.21203/rs.3.rs-3240312/v1

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