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From Ambulances to Ward Boundaries. Daniel Haight U of A Centre for Excellence in Operations Darkhorse Analytics. Analytics. The Goal. Analytics. < Combining math, data, and computers to improve insight and efficiency>. Math . Finance. Computer Science. Computers. Data.
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From Ambulances to Ward Boundaries Daniel Haight U of A Centre for Excellence in OperationsDarkhorse Analytics
Analytics <Combining math, data, and computers to improve insight and efficiency>
Math Finance Computer Science Computers Data Accounting IT/MIS
Response time % Response < 8min Data from 2000-2004 – priority 1 calls.
Response time % Response < 8min Data from 2000-2004 – priority 1 calls.
Priority 1 calls 12:00am
Priority 1 calls 1:00am
Priority 1 calls 2:00am
Priority 1 calls 3:00am
Priority 1 calls 4:00am
Priority 1 calls 5:00am
Priority 1 calls 6:00am
Priority 1 calls 7:00am
Priority 1 calls 8:00am
Priority 1 calls 9:00am
Priority 1 calls 10:00am
Priority 1 calls 11:00am
Priority 1 calls 12:00pm
Priority 1 calls 1:00pm
Priority 1 calls 2:00pm
Priority 1 calls 3:00pm
Priority 1 calls 4:00pm
Priority 1 calls 5:00pm
Priority 1 calls 6:00pm
Priority 1 calls 7:00pm
Priority 1 calls 8:00pm
Priority 1 calls 9:00pm
Priority 1 calls 10:00pm
Priority 1 calls 11:00pm
Ward Criteria • Geographical • Contiguity • Compactness • Natural boundaries • Socio-political • Population equality (± 10%) • Electoral equality (± 25%) • Groups of interest (community leagues, socio-demographics) • Similarity to existing solution
64 Units 4 Districts 360 Population 90 each 90 each 88, 88, 91, 93