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Bike-Repositioning Using Volunteers: Crowd Sourcing with Choice Restriction

AAAI 2021 · Probabilistic and scientific modeling › Molecules and proteins · approach: Cold-start recommendation models · 4 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Restrict the network from 3540 arcs to 480 arcsHubway volunteer re-balancing · Hubway, in-sampleexpected maximum flow: 134.10 vs 133.10Hurt
Restrict the network from 3540 arcs to 480 arcsHubway volunteer re-balancing · Hubway, out-sampleexpected maximum flow: 132.25 vs 130.53Hurt
Vary the sparse structure to 120, 240, 480, or 720 arcs (ablation)Hubway volunteer re-balancing · Hubway, in-sample and out-sampleexpected maximum flow: 130.46, 132.38, 133.10, 133.54 vs 134.10; 126.36, 129.50, 130.53, 131.15 vs 132.25Mixed
Restrict volunteer choices to the sparse structure instead of allowing the fully flexible structureOnline volunteer deployment · Hubway, 300-bike simulationre-balancing movesHelped
Restrict volunteer choices to the sparse structure instead of allowing the fully flexible structureOnline volunteer deployment · Hubway, 300-bike simulationdemand fulfilledNo clear effect
Increase the sparse structure from 120 to 480 arcs (ablation)Hubway network design · Hubway, worst-case expected maximum flowworst-case expected maximum flow: 109.4021 -> 112.9123Helped

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