Upload
edward
View
22
Download
0
Embed Size (px)
DESCRIPTION
Location of EMS Centers in Indiana County. By Paul Rossman And Jason Smith. Introduction. Optimize placement and minimize the number of EMS (Emergency Medical Service) centers in Indiana County so that the entire population is reached - PowerPoint PPT Presentation
Citation preview
Location of EMS Centers in Indiana CountyBy Paul Rossman
And Jason Smith
Introduction
Optimize placement and minimize the number of EMS (Emergency Medical Service) centers in Indiana County so that the entire population is reached
EMS Act of 1973: 95% of calls should be reached in 10 minutes
Introduction
Journal of Emergency Medical Services: 2007 survey of the 200 largest U.S. cities stated that 72.78% of EMS agencies use a target of 8:59 minutes or less
Fitch & Associates, 2005: Urban transport ambulance response time benchmarks ranging from 8:59 to 12:59 minutes
Research
Toregas et al., 1971, pioneered binary integer programming and set covering to determine optimal EMS station placement
Eaton et al., 1985, similarly placed ambulance stations
Research
Batta and Mannur, 1990, similarly determined optimal placement of fire stations and ambulance stations
NUMB3RS season 4 opening episode “Trust Metric” (2007): Charlie Eppes uses set covering to optimize the position of police officers in downtown L.A.
Methodology
Downloaded Pennsylvania map from U.S. Census Bureau website
Used ArcGIS to extract map of Indiana County
Methodology
Used ArcGIS to find centers of Indiana County municipalities
Mapped and labeled municipalities in alphabetical order from 1 to 38
Methodology
Imported Indiana County municipality central points into Google Earth
Used Google Earth to find distances in minutes between municipality centers
Distance Matrix in Minutes
Distance Matrix in Miles
PopulationsMunicipality Population Armagh borough 131 Armstrong township 3090 Banks township 997 Black Lick township 1317 Blairsville borough 3607
Inverse proportion = Total Population/ Population of Municipalities
Municipality Inverse Proportion Armagh borough 684.0076336 Armstrong township 28.99838188 Banks township 89.87462387 Black Lick township 68.03720577 Blairsville borough 24.84197394
Converting Minutes to Miles
Miles = -1.9998789 + 0.56322676 Minutes
Sample size: 1444
R (correlation coefficient) = 0.9486
R-sq = 0.8999157
Model
= the set of all municipalities, 1 … 38 = the distance from node i to node j T = the maximum predetermined time
between municipalities
jXijd
Model j jXZ1min
jX
iXa
j
j jij
allfor 1 ,0
allfor 1
Td
Tda
ij
ijij if 1
if 0
Z1 = the number of EMS centers required
s. t.
Sample Problem (Time <= 10 minutes)
38
1
mini
ix
1171 xx
1312 xx
13 x14 x
185 xx
1,0ix
Sample Problem (Time <= 10 minutes)
Technology
Generic Algebraic Modeling System
“a high-level modeling system for mathematical programming and optimization”
Technology
option limcol=0;set mun /1*38/;alias (mun,i,j);table travelTime(i,j) "travel time between municipalities in Indiana County" 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38
1 0.00 42.00 84.00 26.00 20.00 12.00 13.00 11.00 73.00 29.00 35.00 53.00 42.00 38.00 47.00 59.00 5.00 43.00 71.00 68.00 55.00 25.00 32.00 52.00 68.00 63.00 30.00 37.00 48.00 40.00 42.00 71.00 59.00 52.00 75.00 14.00 32.00 47.00
2 42.00 0.00 73.00 34.00 37.00 28.00 37.00 32.00 58.00 21.00 27.00 56.00 34.00 35.00 20.00 44.00 45.00 25.00 73.00 54.00 51.00 20.00 21.00 37.00 61.00 48.00 36.00 17.00 33.00 48.00 10.00 47.00 39.00 24.00 51.00 46.00 21.00 20.00
3 84.00 73.00 0.00 82.00 84.00 76.00 80.00 79.00 18.00 69.00 61.00 34.00 55.00 93.00 62.00 40.00 87.00 61.00 22.00 33.00 47.00 68.00 60.00 41.00 26.00 31.00 67.00 63.00 51.00 104.00 74.00 46.00 51.00 62.00 44.00 94.00 60.00 89.00
Technologyset cover(i,j) "Center at municipality i covers municipality j";cover(i,j) = yes$(travelTime(i,j) <= 8.9333);parameter popWeight(mun) population weight/1 684.0076336 2 28.998381883 89.874623874 68.03720577...Binary Variables buildStation(mun);Variables totalStations;
Equations coverConstraint(mun), objective;objective.. totalStations =e= sum(mun, buildStation(mun)*popWeight(mun));coverConstraint(mun).. sum(j$cover(j,mun),buildStation(j)) =g= 1;
model indiana /all/;
* any optimum within <1 of the true optimum must BE the true optimum!indiana.optca = 0.999;solve indiana using rmip minimizing totalStations;
Analysis
• Fitch & Associates, 2005: Urban transport ambulance response time benchmarks ranging from 8:59 to 12:59 minutes
• Using Uniform distribution, we picked 28 random numbers between 8:59 and 12:59
• Similarly, we picked 28 random numbers between 3.01 and 5.31
SolutionsMinutes Solution Solution With Population Weight People per Center 8.983333 29 2860.536 31 9.041318 28 2661.855316 34 9.051694 28 2661.855316 34
* Changes were at 9 minutes, 10 minutes and 12 minutes
SolutionsMiles Solution
Solution With Population Weight
People per Center
3.01 29 2686.69729 33 3.032181 29 2686.69729 33 3.060117 29 2686.69729 33
* Changes are at 3.8 and at 4.0
Actual Placement of Centers
•According to model, it means a 23-minute response time.
•Much lower because of IRPs and other factors
Conclusions
• Model is sufficient, however leaves room for opportunities for improvement
• Provides a snapshot of needs and thresholds for building EMS centers
Any questions?