Dynamic population surfaces from GPS data show double-disadvantaged zones for services in Hefei cluster in the inner suburban belt, with daytime job centers experiencing sharp rises in demand competition.
The 15-Minute City Dilemma?
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
unclear 1representative citing papers
Multi-agent DRL framework shows dynamic incentives and pricing can cut commuter costs ~20%, emissions ~10%, and double public transport profit in simulated morning peak scenarios.
citing papers explorer
-
The Moving Target of Urban Equity: Spatiotemporal Demand and Double Disadvantage in Hefei, China
Dynamic population surfaces from GPS data show double-disadvantaged zones for services in Hefei cluster in the inner suburban belt, with daytime job centers experiencing sharp rises in demand competition.
-
Dynamic multi-agent deep reinforcement learning-based pricing and incentivization approach in multimodal transportation networks
Multi-agent DRL framework shows dynamic incentives and pricing can cut commuter costs ~20%, emissions ~10%, and double public transport profit in simulated morning peak scenarios.