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Introduction Some Thoughts on Mathematics and Public Policy
Models for Deploying Emergency Services
6 other sections not shown
actual additional allocation alternatives ambulances analysis Appendix arrival assigned assumed average basic begin brackets busy capacity chapter City consider constraints corresponding cost defined demand denote dependent determined discussed dispatch distance distribution district dump edges effect electric emergency energy equal example facility fact feasible fire follows function given graph illustrate incident increase integer length less linear load maximum means measure minimize nodes Note objective obtained occur Operations optimal optimum path peak period plant possible probability problem procedure question queue random reason refuse region represent response result routing savings schedule sector shift shown simple single solution station street supply Suppose Table tours truck units urban variables vehicles waiting week weekend York zero