| Summary: | 碩士 === 國立臺灣大學 === 地理環境資源學研究所 === 105 === The casualty involved in traffic accident will be even worse as a greatest problem than that involved in tuberculosis, cancer, and respiratory diseases in 2020. It is thought of as the biggest public hazard in the world nowadays. In the past, accident prevent method was prone to passive prevention like as propaganda, engineering, strengthen regulations, however people still didn’t understand where was dangerous.
This study used spatio-temporal exploratory method to confirm car accidents were not uniform distribution in time and space. We searched car accident hotspots by space-time scan statistics method because it was not always stationary, and the time criterion deep was affecting the accident change deeply, the different time caused the different hotspots. Space-Time Scan can understand hotspots range, starting time, ending time, duration, and risk-value besides research result confirm car accidents appeared at different locations by time flowing. Car accidents were significant timing regularity at days of week and hours of day, so early warning was not same like past it was a dynamic changing results including timing changing and user positions changing. Compare to past, new early warning way was different and creative, and such result was more meaningful.
Accident alert system deliver information by internet and provide a new way for active alerting. Main function contain dynamic early warning. Currently wireless internet and mobile devices are ripe, and they drive Location-Based Service (LBS). When accident alert App work, it will deliver dynamic accident hotspots and real-time traffic data immediately actively alerting way by word, map, voice to remind user avoiding from dangerous intersection and sudden road event. Hoping can forge ahead to a safer city road environment.
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