會議論文
| 學年 | 111 |
|---|---|
| 學期 | 1 |
| 發表日期 | 2022-10-24 |
| 作品名稱 | Spatio-Temporal Patterns and Explanatory Factors of Urban Fire Occurrences in New Taipei |
| 作品名稱（其他語言） | |
| 著者 | Ting-Jen Lo; Yihjia Tsai |
| 作品所屬單位 | |
| 出版者 | |
| 會議名稱 | The International Conference on Recent Advancements in Computing in AI, IoT and Computer Engineering Technology (CICET 2022) |
| 會議地點 | 新北市，台灣 |
| 摘要 | In modern metropolitan governance, fire-fighting represents a challenging task given the limited resources and the nature of disastrous impact on the citizen's psyche regarding the loss of both property and human lives. Fire-fighting and reduction of fire loss remain a challenging task for policy makers. The study of past fire incidences and factors empower policy makers for making resource allocation decision. In the wake of availability of large collections of both time-stamped and geocoded fire incident data, the exploration of any possible spatio-temporal patterns can help better allocation of limited fire resources. This paper employs spatio-temporal data analysis techniques such as spatial kernel density and spatial dependency index such as Ripley's K, Moran's I and Lee's L to explore socioeconomical factors and fire incidents. The results showed that in addition to population factors, the amount of electricity usage and ems demands are also relevant indicators for fire occurrences. |
| 關鍵字 | fire incidence;spatio-temporal patterns;correlation |
| 語言 | zh_TW |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | 淡水校園 |
| 研討會時間 | 20221024~20221026 |
| 通訊作者 | |
| 國別 | TWN |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/123453 ) |