This study is to explore South-eastern Asian migrant workers' impacts and their influential factors of gathering/consumption activities on divided cities in Tainan City, Kaohsiung City and Taichung City. We will take on empirical study in the citys' commercial area or shopping street in three cities. Three major research methods are applied, including questionnaire survey, participant observation and regression analysis. Data will be obtained from the questionnaire answers of local inhabitants and analysed via SPSS10.3 statistical methods. The main outcomes of this study are as follows: 1. In Tainan City, Kaohsiung City and Taichung City, we have found that the partitioning of urban space has begun to become. Among this, the outcome of Taichung City has more stronger than the two other cities. 2. In the impacts of migrant workers' gathering on commercial streets, community inhabitants also have tolerant attitude than shop keepers. The community inhabitants of Taichung City have more hostile than those of two other cities. 3. In comparison on South-eastern Asian migrant workers' gathering in urban commercial area and its relations between the partitioning of urban space, from the viewpoint of local inhabitants, we have found different influential factors among Tainan City, Kaohsiung City and Taichung City. We can say these factors will be valid predictable variables on divided cities resulted from migrant workers' gathering/consumption activities in the paper. In Tainan City, residents (1) who have longer residence time, and (2) those who have agriculture, forestry, fishery, and animal husbandry working backgrounds, tend to think migrant workers' consumption activity have more impact on urban space partitioning. In Kaohsiung City, residents (1) who are non-Muslims, (2) non-divorced people, and (3) who have more positive attitude toward migrant workers, tend to think it has more impact on urban space partitioning. In Taichung City, residents (1) who are not working as industrial workers, (2) Non-Bourgeois, non-freelancers, (3) who have a job, (4) who think it has brought cultural changes, (5) and who think it has brought changes on activity events, tend to think it has more impact on urban space partitioning. These are all effective predictor variables which worth our attention. Thus, we can make the important conclusions in this paper that: In community residents' points of view, we can look for community resident's opinions about migrant worker's gathering in the business districts from different socio-economic backgrounds, in order to predict their feeling towards Southeast Asian migrant workers' gathering in urban space partitioning. In the meantime, we can obtain these influential factors among these three cities through two variables: (1) community inhabitants' socio-economic attributes and (2) community inhabitants' responses on migrant workers' gathering/consumption activities in commercial area.