Demand Forecast and Multi-Objective Ambulance Allocation
學年 106
學期 1
出版（發表）日期 2018-01-24
作品名稱 Demand Forecast and Multi-Objective Ambulance Allocation
作品名稱（其他語言）
著者 Yihjia Tsia; Kuan-Wu Chang; Giou-Teng Yiang; Hwei Jen Lin
單位
出版者
著錄名稱、卷期、頁數 International Journal of Pattern Recognition and Artificial Intelligence 32(7),p.1-21
摘要 This study considers the two-fold dynamic ambulance allocation problem, which includes forecasting the distribution of Emergency Medical Service (EMS) requesters and allocating ambulances dynamically according to the predicted distribution of requesters. EMSs demand distribution forecasting is based on on-record historical demands. Subsequently, a multi-objective ambulance allocation model (MOAAM) is solved by a mechanism called Jumping Particle Swarm Optimization (JPSO) according to the forecasted distribution of demands. Experiments were conducted using recorded historical data for EMS requesters in New Taipei City, Taiwan, for the years 2014 and 2015. EMS demand distribution for 2015 is forecasted according to the on-record historical demand of 2014. Ambulance allocation for 2015 is determined according to the anticipated demand distribution. The predicted demand distribution and ambulance allocation solved by JPSO are compared with historic data of 2015. The comparisons verify that the proposed methods yield lower forecasting error rates and better ambulance allocation than the actual one.
關鍵字 Demand forecast;emergency medical services;qradtree decomposition;particle swarm optimization;ambulance allocation model
語言 en_US
ISSN 0218-0014
期刊性質 國外
收錄於 SCI EI
產學合作
通訊作者 Hwei Jen Lin
審稿制度 是
國別 USA
公開徵稿
出版型式 ,電子版,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115494 )