https://wucai.me/tag/urban-mobility/Urban MobilityHugo Blox Builder (https://hugoblox.com)en-usSat, 13 Jun 2026 00:00:00 +0000https://wucai.me/media/icon_hu85d1edb00a0a31beb9b4c5ffd37a6d0d_2581_512x512_fill_lanczos_center_3.pnghttps://wucai.me/tag/urban-mobility/https://wucai.me/post/20260613-commuting-flows/Sat, 13 Jun 2026 00:00:00 +0000https://wucai.me/post/20260613-commuting-flows/<p>Our paper <a href="https://wucai.me/publication/zhao-2026-scs/"><em>Theory-informed and interpretable graph learning for urban commuting flows</em></a> became available online in <em>Sustainable Cities and Society</em> on <strong>13 June 2026</strong>.</p> <p>The paper introduces PIG-GNN, which brings geographic principles into graph learning for commuting-flow prediction. Using commuting data from England, the study examines how predictive accuracy and interpretable patterns of spatial interaction can be addressed together.</p> <p>Read the <a href="https://wucai.me/publication/zhao-2026-scs/">publication details</a> and <a href="https://doi.org/10.1016/j.scs.2026.107575" target="_blank" rel="noopener">publisher&rsquo;s version</a>.</p>