Mountain Village Emergency Facility Siting Optimization
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Solution Overview
Problem
The existing methods for siting emergency care service facilities in mountainous villages lack systematic and targeted guidance, leading to irrational layouts that result in low utilization and increased costs, exacerbated by the complexity of road networks and limited medical resources in rural areas.
Innovation Solution
A method that combines facility location and network design using multi-objective optimization theory, incorporating spatial data information from mountainous villages to determine optimal locations and numbers of emergency care facilities, considering factors like road conditions and accessibility, through the use of remote sensing and improved simulated annealing algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If emergency care service facilities are concentrated in cities, then urban medical service quality is improved, but rural medical resource coverage deteriorates
Solution Approach 1:
The patent applies local quality by differentiating facility placement strategies for urban and rural areas. Instead of uniform distribution, the model identifies specific rural locations (evaluation units) that require emergency facilities based on local characteristics such as population density, road accessibility, and distance to nearest facility, thereby allocating resources according to local needs rather than general patterns
Solution Approach 2:
The patent segments the rural service area into discrete evaluation units (grids) and independently assesses each unit's need for emergency facilities. This segmentation allows the system to identify specific high-need areas within rural regions and allocate facilities precisely where required, rather than treating rural areas as a homogeneous zone
2Quantity of substance
If emergency care facilities are distributed to rural areas, then rural medical resource coverage is improved, but facility utilization efficiency deteriorates
Solution Approach 1:
The patent performs preliminary action by pre-evaluating all potential rural locations using the multi-objective optimization model before actual facility construction. The model predicts future service demands and accessibility patterns, allowing facilities to be placed in locations that will maintain high utilization efficiency even as population and road networks evolve, thereby avoiding underutilized facilities
3Area of stationary object
If classical maximum coverage model is used for facility siting, then spatial coverage is improved, but transportation network optimization deteriorates
Solution Approach 1:
The patent merges the facility location problem with the transportation network optimization problem into a single integrated multi-objective optimization model. Rather than solving coverage and transportation separately, the model simultaneously optimizes both aspects by incorporating road accessibility, travel time, and network vulnerability directly into the facility placement criteria, ensuring that facilities are located at intersections of high coverage need and good transportation access
4Quantity of substance
If more emergency care facilities are built in mountainous villages, then service coverage is improved, but construction and operational costs increase
Solution Approach 1:
The patent applies parameter changes by using a multi-objective optimization model that evaluates multiple parameters simultaneously (coverage area, road accessibility, population density, distance to existing facilities, travel time) rather than relying on a single parameter. This allows the identification of optimal locations that achieve maximum coverage while minimizing costs by selecting sites that naturally satisfy multiple criteria, reducing the need for expensive infrastructure modifications
Data Source
AI summary
A method of siting emergency medical service facilities in mountain villages, including: obtaining mountainous village spatial data information; determining a location corresponding to each of a plurality of alternative facility sites in the predetermined area based on the mountainous village spatial data information; determining a mountainous emergency care efficiency set corresponding to each settlement in the predetermined area based on the mountainous village spatial data information; constructing a mountainous village emergency care model; and determining road optimization information and a location and a number of newly constructed facility sites based on the mountainous village spatial data information and the mountainous village emergency care model.