A HYBRID TRAVEL DISTANCE APPROXIMATION FOR A GIS‐BASED DECISION SUPPORT SYSTEM
提出一种结合最短路径精度与距离近似简便性的新方法，用于物流和运输决策支持系统中的旅行距离建模，并在加拿大蒙特利尔的除雪与处置决策支持系统中测试。
Logistics and transportation decision support systems rely on models of travel distance for evaluating scenarios and estimating costs. This paper presents a new method to model travel distances that combines the accuracy of shortest path travel with the simplicity of a distance approximation. The distance approximation was developed and tested in a geographic information system (GIS)‐based decision support system for snow removal and disposal in Montreal, Canada.