Elevator Passenger Traffic and Demand Model Development in the Hospital Logistics Context

Abstract

Under an inevitable aging population structure embraced with a successfully implemented Universal Health Coverage (UHC) system, Thailand is currently one of the few developing countries experiencing a rapidly growing number of patients and health service users. Hospital overcrowding has now become a common scenario that makes hospitals, especially the public ones, encounter with various logistical problems. This research therefore aims to find a way to alleviate of the hospital logistical problems, in-building flows of people. In this study, passenger elevator traffic model was developed using the ARENA program under the queue theory and simulation, of which the models are developed based on the travel and activity data collected from passengers of 6 elevators in the 15-storey Sriphat Building, Maharaj Nakorn Chiang Mai Hospital, Chiang Mai. The results of the comparative analysis of the three-service model The results of the comparative analysis of the three service model are independent models, can be lifted on all floors, classified by even - odd numbers model and divided according to the level of the floor, found that the allocation of elevators divided by level of the floor Is the format that provides the best service efficiency The system can support up to 338 users, using the least average queue time (1.85 minutes) and the least average system time (5.94 minutes).