This study aims to identify latent classes among shared e-scooter users based on their characteristics and analyze the differences in personal and usage characteristics across these classes. Specifically, the study has the following key objectives: (1) to select variables related to the personal and usage characteristics of shared e-scooter users; (2) to collect data on the personal and usage characteristics of shared e-scooter users; (3) to derive the latent classes of shared e-scooter users; and (4) to test the differences in personal and usage characteristics across the identified latent classes. Variables related to the personal and usage characteristics of shared e-scooter users were selected based on a literature review. Through a survey, data on the personal and usage characteristics of shared e-scooter users were collected. A latent class analysis (LCA) was performed to derive the latent classes of shared e-scooter users. Finally, a chi-square analysis was conducted to test the differences in personal and usage characteristics across the latent classes of shared e-scooter users. The results of this study are as follows. The personal characteristics of shared e-scooter users were identified as age and sex, whereas the usage characteristics were identified as usage frequency, time periods of e-scooter usage, return/rental zones, return/rental places, and types of roads used. Data on sex, age, usage frequency, periods of e-scooter usage, and return/rental locations were collected from 278 shared e-scooter users. Based on information criterion, statistical validation, and the entropy index, four latent classes of shared e-scooter users were identified: “male users with a commuting purpose in business zones,” “male users with a homeward commuting purpose in residential zones,” “female users with a leisure purpose in park/green zones,” and “users in their 20s with a commuting purpose in residential zones.” The results of a chisquare analysis revealed statistically significant differences (p < 0.05) in the personal and usage characteristics across the latent classes. Shared e-scooter user types were classified through Latent Class Analysis (LCA), and differences in personal and usage characteristics were identified across the classes. The preferred usage environments and conditions for each class of shared e-scooter users are determined. Variables related to the return/rental zone and periods of e-scooter usage showed the most significant differences among the classes. These findings can contribute to the development of customized user policies and the improvement of services based on the characteristics of shared e-scooter users.

본 연구는 가족친화제도 잠재계층 유형이 미혼 여성의 결혼의향에 미 치는 영향을 분석하고자 하였다. 이와 같은 연구 목적을 달성하기 위하 여 분석자료는 여성가족패널 9차년도 데이터 미혼 여성 538명을 대상으 로 잠재계층성장 모형을 적용하여 분석하였다. 분석 결과, 가족친화제도 잠재계층 유형은 가족친화제도 최상집단, 기본집단, 최하집단의 3가지 유 형으로 분류되었다. 구체적으로 살펴보면, 가족친화제도 최상집단은 가 족친화제도 11개가 모두 제공되는 직장이었으며 전체 대상자의 9.6% 였다. 가족친화제도 기본집단은 가족친화제도 4개가 제공되는 집단으로 연구 대상자의 28.1%였다. 가족친화제도 최하집단은 11개의 가족친화 제도 모두가 제공되지 않는 집단으로 연구 대상자의 62.2%였다. 가족 친화제도 잠재계층 유형이 결혼의향에 미치는 영향은 가족친화제도 최하 집단보다 기본집단일 경우 결혼의향이 높은 것으로 분석되었다. 이상의 분석 결과를 바탕으로, 미혼 여성의 긍정적인 결혼의향에는 가족친화제 도 등의 정책적 지원이 중요함을 시사하였다.