期刊論文
| 學年 | 109 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2021-02-05 |
| 作品名稱 | Empirical Spatial Density based Emergency Medical Service Demand Forecast for Ambulance Allocation |
| 作品名稱（其他語言） | |
| 著者 | Yihjia Tsai; Hwei Jen Lin; Pei-Wen Chi; Kelvin W. Lee |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Advances in Data Science and Adaptive Analysis 13(1), 2150003 |
| 摘要 | In a previous study, we solved the two-fold dynamic ambulance allocation problem, including forecasting the distribution of Emergency Medical Service (EMS) requesters and dynamically allocating ambulances according to the predicted distribution of requesters. In the definition of the coverage region, the Euclidean distance was used, which is not suitable for measuring the length of a route between two places. This study improved on the previous one by redefining the coverage region for practical application and providing a simulation model to verify the effectiveness of the proposed ambulance allocation method. The simulation results show the proposed allocation method provides higher demand coverage rates and shorter response distances than the official allocation. |
| 關鍵字 | multi-objective programming;Emergency Medical Service;Qradtree Decomposition;Particle Swarm Optimization;ambulance allocation |
| 語言 | zh_TW |
| ISSN | 2424-9238 |
| 期刊性質 | 國內 |
| 收錄於 | SCI EI Scopus |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | SGP |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/120394 ) |