[Location selection for Shenyang urban parks based on GIS and multi-objective location allocation model]

Area of Science:

• Urban planning
• Environmental science
• Geographic Information Systems (GIS)

Background:

• Assessing the spatial distribution of urban green spaces is crucial for city planning.
• Existing urban park distribution may not optimally address environmental and social factors.
• Shenyang's Third Ring area requires optimized green space allocation.

Purpose of the Study:

• To optimize the location selection for urban parks within Shenyang's Third Ring.
• To evaluate the rationality of current urban green space distribution.
• To identify the most influential factors in urban park location selection.

Main Methods:

• Utilized Geographic Information System (GIS) technology.
• Employed a multi-objective location-allocation (LA) model.
• Incorporated four key factors: population density, air pollution, urban heat island effect, and land use patterns.

Main Results:

• Identified optimal locations for new urban parks.
• Found air pollution to be the most significant factor in location selection.
• Demonstrated that weighted multi-objective analysis yields superior results compared to single-objective factors.

Conclusions:

• The combination of GIS and LA models offers a novel approach for optimizing urban green space spatial allocation.
• Weighted multi-objective analysis provides a more rational basis for selecting new urban green space locations.
• The study provides a framework for improving urban green space planning in Shenyang and similar cities.