This study analyzes the usage behavior and travel characteristics of shared micro-electric vehicle (micro-EV) mobility services using large-scale empirical data collected over three years (2023-2025) from three pilot regions in Korea: Daejeon, Mokpo, and Jeju Island. By integrating the location-based driving records, user information, trip surveys, and weather data, 66,843 valid trips were extracted, including 49,264 trips matched with user attributes. Usage behavior was first examined through statistical analyses of user demographics and surveybased information on trip purposes, multimodal connections, and user satisfaction. The results indicate that micro-EV services support diverse usage behaviors, ranging from commuting and campus travel to leisure, with distinct regional differences in user composition and service roles. A travel pattern analysis further revealed clear temporal and environmental characteristics, including pronounced seasonal peaks between July and October, higher weekday utilization associated with commuting demand, high concentration of trips during daytime hours, and a nonlinear response to weather conditions, in which usage increased under moderate temperatures but declined during extreme heat, cold, or precipitation. A distance-based analysis showed that micro-EV trips were generally short-distance in nature, while substantial regional variations existed. Daejeon was dominated by ultra-short campus-oriented trips, Mokpo exhibited a broader distribution of short urban trips linked to daily activities and tourism, and Jeju Island demonstrated a higher share of mid-distance trips reflecting industrial park commuting and inter-destination travel. A spatial origin-destination (OD) analysis further highlighted region-specific network structures, with Daejeon forming a compact hub-based network, Mokpo displaying a dispersed pattern centered on major transit facilities, and Jeju Island exhibiting a multipurpose network shaped by commuting and tourism mobility. These findings provide empirical evidence that shared micro-EV services function as flexible region-dependent mobility solutions, underscoring the need for differentiated operational strategies, station-based service planning, and integration with local transport systems to support sustainable urban mobility.

ABSTRACT
1. 서론
2. 연구 범위 및 데이터 설명
    2.1. 연구의 범위
    2.2. 초소형 전기차 모델 구성 및 제원
    2.3. 초소형 전기차 이동서비스 이용 방법
    2.4. 초소형 전기차 주행 및 이용 데이터 설명
    2.5. 초소형 전기차 데이터 전처리
3. 초소형 전기차 이용 행태 분석
    3.1. 초소형 전기차 이동서비스 이용 현황
    3.2. 이용자 정보 통계 분석
    3.3. 초소형 전기차 이동서비스 이용 패턴 분석
4. 초소형 전기차 통행 특성 분석
    4.1. 시간적·환경적 통행 패턴 분석
    4.2. 주행거리 기반 통행 패턴 분석
    4.3. 이동 목적별 통행 패턴 분석
    4.4. OD 기반 통행 패턴 분석
5. 결론 및 제언
감사의 글
REFERENCES

• 오승민(한국과학기술원 조천식모빌리티대학원 박사과정) | Oh Seungmin
• 고은정(한남대학교 빅데이터응용학과 조교수) | Ko Eunjeong
• 심지섭(한남대학교 빅데이터응용학과 조교수) | Shim Jisup
• 임철우(한국과학기술원 친환경스마트자동차연구센터 연구조교수) | Rhim Chulwoo Corresponding author