The ambulance location problem consists of determining which ambulance station should be open and how many ambulances should be allocated at this station. Since in reality circumstances time is crucial, one of the major issue in emergency conditions is to ensure a quick response of the rescue operations by an efficient vehicle location management. From a practical point of view, it is essential that emergency vehicles be located so as to ensure an adequate coverage of the interested area and the pre-hospital care system can provide a prompt rescue. Take account of issues above, covering modeling is applicable for solving ambulance location problem. however ,because of globally pervasive trends, such as decreasing birth rates, and increasing environmental growth , supplementary issues should be taken into consideration, instead of solely seek for maximizing covering demand. We formulate a improved programming model that determines the location of ambulance bases among a set of potential ones with three objectives involved: maximizing total demand covered twice within a predetermined distance parameter, minimizing the total distance between the uncovered allocated demands and the facilities to which they are assigned and minimize the cost of emergency facility location, including construction cost and labor cost. Then we illustrate the high efficiency of pre-hospital?system and first-aid station location brought, and the positive role which played in all kinds of emergency relief. Also to solve this NP-hard problem, we employ wolf pack algorithm to effectively get an ideally location result.