Study on the Factors Influencing Residents' Participation in Community Volunteer Service for anti-COVID-19 in Mega cities

Abstract

The epidemic poses a major challenge to public security governance in urban communities. Residents' participation in volunteer services can effectively alleviate the shortage of manpower in communities in mega cities. Based on the questionnaire data of 431 permanent residents in Beijing, a binary logistic regression model was established to explore the influencing factors of residents' participation in community volunteer services for anti-COVID-19 in mega cities. The results show that the overall participation rate of residents is relatively high, but there is still room for improvement. There are differences in the participation of residents in terms of gender, education level, pre-training, and past community volunteer experience. The participation of residents with female, higher education level, pre-training, and previous community volunteer experience is higher. Communities can enhance the participation of residents in community epidemic prevention volunteer service by strengthening the publicity of the concept of volunteer service, continuously holding various volunteer service activities, establishing a volunteer management database, and paying attention to the training of volunteer service skills before work.