China Safety Science Journal ›› 2023, Vol. 33 ›› Issue (S1): 228-234.doi: 10.16265/j.cnki.issn1003-3033.2023.S1.0084

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Prediction model for demand for subway security inspectors under public health emergencies

LI Delong(), CHENG Yu, LI Youdong**()   

  1. School of Business Administration, Inner Mongolia University of Finance and Economics, Hohhot Inner Mongolia 010070, China
  • Received:2023-02-14 Revised:2023-04-08 Online:2023-06-30 Published:2023-12-31
  • Contact: LI Youdong

Abstract:

In order to accurately predict the demand for temporary subway security inspectors during public health emergencies, a prediction model for the demand for temporary subway security inspectors during public health emergencies was proposed from the perspective of graded response to emergencies. The model was based on fatigue prediction and virus susceptibility models. In addition, the Beijing Jishuitan subway station was taken as an example. The results show that the original subway security inspectors are significantly insufficient in responding to public health emergencies, and it is thus difficult to efficiently prevent and control public health emergencies; in terms of predicting the demand for security inspectors, the demand for temporary security inspectors has significantly decreased when calculated based on cumulative fatigue scores, but there is a risk of insufficient emergency response capacity; the demand for temporary security inspectors is high when calculated based on working hours, but the daily cumulative fatigue score of security inspectors is low and ensures the ability to efficiently respond to emergencies.

Key words: public health emergencies, subway security inspection, graded response, prediction model for demand, fatigue prediction model