Safety Forecasting and Early Warning of Highly Aggregated Tourist Crowds in China
學年 108
學期 1
出版（發表）日期 2019-08-19
作品名稱 Safety Forecasting and Early Warning of Highly Aggregated Tourist Crowds in China
作品名稱（其他語言）
著者 Jie Yin; Yahua Bi; Xiang-Min Zheng; Ruey-Chyn Tsaur
單位
出版者
著錄名稱、卷期、頁數 IEEE ACCESS 7, p.119026-119040
摘要 With tourism development in China, the influx of tourists in popular tourist attractions has become more frequent. However, space cannot accommodate such a large influx of tourists. Through empirical testing, this research identified 23 variables that influence the safety of tourists in crowded spaces. We divided 23 variables into three factors: pressure factors, state factors, and crowd management actions. Based on the data collected, this study proposes a system model that includes a feedback mechanism to evaluate the safety of highly aggregated tourist crowds (HATCs) and identify moments requiring security warnings. System simulation results showed that the safety level of HATCs presented a complex process of change in different situations. Thus, management can take corrective actions. We tested this model by simulating different crowding conditions and assessing the safety level of tourists. Different warning plans were proposed based on the simulated security level.
關鍵字 Security;Forecasting;Accidents;Meters;Safety management;Analytical models
語言 en_US
ISSN 2169-3536
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度 否
國別 USA
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/987654321/118861 )