Abstract: With the rapid development of the digital economy, exemplified by initiatives like 'Internet Plus', there has been a significant increase in the new generation of migrant workers engaged in the e-commerce industry. Existing literature tends to study the migrant population across different generations as a cohesive unit, with limited in-depth research focusing on the characteristics and employment traits of the new generation of migrant workers. This paper constructs a measurement index for community identity among the new-generation floating population, using Dayuan Village in Dayuan Street, Baiyun District, Guangzhou City, Guangdong Province, as a case study. It analyzes the factors influencing community identity from both individual and occupational dimensions. The findings reveal that: 1) Among the four indicators measuring community identity among the new-generation floating population, the mean value for community norms is the highest, while the mean value for community attachment is the lowest; the overall mean value of community identity exceeds 3. 2) Occupational factors exert a greater influence on community identity than individual factors, with company position, daily working hours, and work experience having a significant impact on community identity. The research is significant for enhancing the modernization of community governance in suburban Taobao villages and achieving a people-centered model of new urbanization.