Return
Generating efficient rebalancing routes for bikeshare programs using a genetic algorithm
DOI:10.1016/j.jclepro.2019.118880.png)
Abstract
En
Keywords:
REVERSE LOGISTICS NETWORK
BIKE SHARING SYSTEMS
TRAVEL BEHAVIOR
MCDM APPROACH
SIMULATION
DEMAND
MODEL
OPTIMIZATION
STATIONS
IMPACT
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
10
Papers:
4.7W
Citations:
36.8W

