Abstract
In this study, the placement of facilities in the district, location and distance of data points when using a variety of needs - to identify the error by applying the objective function of the allocation model.
Included in the study area is the area of Uji, Kyoto Junior Hirono able to use the aggregate demand for non-data points. Uji, Kyoto Prefecture is located in the southeast, has an east to west across the city limits 67.55k Ujigawa ². The definition of distance, (a) distance and the road network (b) The condition of two distances, the objective function, (1) p to minimize the distance traveled by the total population using the facility-issue median (2 ) p to minimize the travel distance of residents farthest to facility-issue center, (3) and three indicators of the issues covered up to covering a lot of people are included in the area a certain distance from the facility to compare the error applies was.
Comparison of the p-median problem: p-point location is ideal for the smallest median distance, the optimum conditions (a-1) in which two candidates. In other conditions, (a-3) than has been the best 2 point candidate location, a large difference in the selection of optimal location points have arisen. (A-2) define network distance, the results apply to other units with aggregate data collated town character, the optimum conditions (a-1) shows the evaluation results are almost the same, but its use may be sufficient. On the other hand, (a-3) distance network, aggregate data per 500m mesh, applied for the error becomes too large, its use is not appropriate. Definition is further distances (b-1), (b-2), (b-3) and used, because the evaluation value is about 25 percent overvalued, undesirable. Situated in this way - when applying the allocation model, or how to define the distance unit in said summary is inseparable. In particular, for the proper definition of distance, municipal road, it is effective to create and keep a detailed road network data covering non-municipal roads in kendo.
Comparison of p-center problem: p to achieve equity with an emphasis on facility location-center problem, the selection of the optimal location point, the variation occurs. p-center problem, by using accurate data, said first and get good results. Thus, rather than administrative efficiency in facility location, p is the purpose of fairness in applying the problem-center, optimum precision (a-1) is required.
Comparison of maximum cover problem: the maximum error for each condition at the maximum coverage problem, with 404-730 people, situated by a maximum cover problem to the junior mining - The allocation model applied, the population of 400-700 people covered, 30 to shows that about 50% can be improved. The maximum coverage problem, optimal location point under all conditions, the next two candidates, and the difference did not occur. At a maximum cover problem, the error in the evaluation, (a-2) define network distance, the most desirable units such as the use of aggregate data collated town character. However, many municipalities can not provide a detailed road network data. Therefore, the issue covers the maximum was able to calculate the point of optimum location as in all conditions, the location of data under various conditions in district middle school municipalities in Japan - in applying the allocation model, the model most accessible said to be.
Located in the planning and efficient municipal facility location - in order to continue to develop distribution models are important to understand the application of the above errors. As a result, location - allocation model of the logic of transparency, promoting a clear explanation of the decision making process, will contribute to fulfill the accountability to citizens.
