The application discloses a kind of based on multi-factor fusion's
electric bicycle battery swap cabinet
site selection suitability evaluation method, belong to urban traffic supporting facilities
site selection technical field.For the problem that existing battery swap cabinet
site selection lacks quantitative analysis, low degree of
automation, the application fuses
analytic hierarchy process AHP,
geographic information system GIS, preference
order structure evaluation method PROMETHEE and Python-ArcPy technology, first constructs construction, traffic, ecological three-dimensional
index system, and determines the index weight by AHP;Then realize data cleaning, differential normalization and weighted superposition automatic calculation using Python-ArcPy, output comprehensive
score;Again, extract high suitable area as candidate point by GIS;Finally, calculate net flow value
ranking using PROMETHEE method, combined with service
radius and field research screening optimal point.The application realizes site selection whole process
automation and
spatial visualization, significantly improves evaluation efficiency and accuracy, and can be popularized to similar
new energy supporting facilities planning.