In every summer, cicadas emerge and become numerically and ecologically dominant in Korean penninsula. Especially, cicada emergence is affected by the environmental factors. In order to evaluate the effect of environmental factors in cicada species, we analyzed the temporal changes in cicada exuviae based on meteorological and non-meteorological factors such as artificial light intensity and habitat characters on urban park area surrounded by residential houses. Combined multivariate analyses with a cluster analysis and a principal component analysis (PCA) were conducted. Samples were classified into 3 different cluster based on differences of meteorological factors such as temperature and humidity. Moreover, Random Forest model (RF) showed a high predictability of daily mean temperature on species peak abundance. These results provide a strong evidence that meteorological factors have significant effects on cicada emergences. Regarding the non-meteorological factors, we found no relationship in cicada emergence.