A Method for Decision Making of Barrier-Free Service Resources Deployment in an Airport Terminal Building

In recent years, in order to improve the convenience of air travel for people with functional disabilities such as hearing impaired, visually impaired, and mobility impaired, the airport has designed and installed many barrier-free service resource facilities in the terminal building, such as barrier-free water dispenser, barrier-free armrest, barrier-free seat, barrier-free service desk, etc., providing convenience for passengers with special functional disabilities. To improve the utilization rate and deployment rationality of barrier-free service resources and enhance the capability of guaranteeing barrier-free service in civil aviation airport, we need to provide decision support for the deployment of barrier-free service resources in the terminal building. This paper uses a clustering algorithm to obtain the cluster centers of passenger's demands, calculates the deployment range of resources in the cluster centers by using the geometric center method, combines passengers’ intentions to explore the types of service resources, targets the usage frequency of each resource and the available number of people that can be served at a time, so as to generate optimized suggestions for the deployment of resources. This paper simulates passengers’ demands and moving trajectory in the experiment and verifies the feasibility of applying Python tool into the deployment of barrier-free service resources.