Maximal service area problem for optimal siting of emergency facilities

启发式 模拟退火 地理信息系统 设施选址问题 计算机科学 遗传算法 位置模型 服务(商务) 运筹学 禁忌搜索 运输工程 地理 数学 工程类 算法 地图学 业务 营销 机器学习 操作系统
作者
Vini Indriasari,Ahmad Rodzi Mahmud,Noordin Ahmad,Abdul Rashid Mohamed Shariff
出处
期刊:International Journal of Geographical Information Science [Taylor & Francis]
卷期号:24 (2): 213-230 被引量:69
标识
DOI:10.1080/13658810802549162
摘要

Geographic information systems (GIS) have been integrated to many applications in facility location problems today. However, there are still some GIS capabilities yet to be explored thoroughly. This study utilizes the capability of GIS to generate service areas as the travel time zones in a facility location model called the maximal service area problem (MSAP). The model is addressed to emergency facilities for which accessibility is an important requirement. The objective of the MSAP is to maximize the total service area of a specified number of facilities. In the MSAP, continuous space is deemed as the demand area, thus the optimality was measured by how large the area could be served by a set of facilities. Fire stations in South Jakarta, Indonesia, were chosen as a case study. Three heuristics, genetic algorithm (GA), tabu search (TS) and simulated annealing (SA), were applied to solve the optimization problem of the MSAP. The final output of the study shows that the three heuristics managed to provide better coverage than the existing coverage with the same number of fire stations within the same travel time. GA reached 82.95% coverage in 50.60 min, TS did 83.20% in 3.73 min, and SA did 80.17% in 52.42 min, while the existing coverage only reaches 73.82%.
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