• AI글쓰기 2.1 업데이트
PARTNER
검증된 파트너 제휴사 자료

배송 탑차에 따른 상 · 하차 작업에서 택배 배송기사들의 신체 부하 평가 (Evaluation for Workloads of Delivery Workers during Loading/Unloading Tasks based on Regular, Low-floor, and EV Newly Designed Delivery Trucks)

16 페이지
기타파일
최초등록일 2025.07.13 최종저작일 2023.08
16P 미리보기
배송 탑차에 따른 상 · 하차 작업에서 택배 배송기사들의 신체 부하 평가
  • 이 자료를 선택해야 하는 이유
    이 내용은 AI를 통해 자동 생성된 정보로, 참고용으로만 활용해 주세요.
    • 신뢰성
    • 전문성
    • 실용성
    • 유사도 지수
      참고용 안전
    • 🚚 택배 배송기사의 신체적 부담을 과학적으로 분석한 연구 논문
    • 📊 근전도(EMG)와 동작 센서를 활용한 객관적인 데이터 제시
    • 🔬 다양한 트럭 유형에 따른 작업자 부하를 체계적으로 비교 분석

    미리보기

    서지정보

    · 발행기관 : 대한인간공학회
    · 수록지 정보 : 대한인간공학회지 / 42권 / 4호 / 369 ~ 384페이지
    · 저자명 : 공용구, 김흥열, 박상수, 심진우, 금현지, 손승재, 이석, 이순교, 채우리, 심현호

    초록

    Objective: The aim of this study was to evaluate the workloads of delivery workers when performing loading and unloading tasks for three types (a regular truck, a low-floor truck, which has a low loading height of cargo, and a new design EV lowfloor truck) of trucks.
    Background: Recently, the physical and mental loads of delivery workers were increased, causing the risk of work-related musculoskeletal disorders (WMSDs) due to the rapidly increasing volumes of parcels from COVID-19 and the demand for low-floor trucks to access apartment parking lots.
    Method: Ten adult men who had no musculoskeletal disorders were recruited and performed loading and unloading tasks of 5kg boxes for three types of trucks and three working zones for each truck in this study. The EMG was attached to the upper trapezius (UT), erector spinae (ES), rectus femoris (RF), biceps femoris (BF), tibialis anterior (TA), gastrocnemius (GAS), and the motion sensors were also attached to collect shoulder, back, and knee flexion angles. Subjective discomfort scores also be collected to compare pre- and post-task.
    Results: As a result of the experiment, muscle activity decreased by about 8.2~22.4% when working the EV truck, except for the lumbar muscle. In the case of motion, the flexion angles of the shoulder and back also decreased 8.1~40.3% and 8.1~25.7%, respectively, for the EV truck. Although the back-flexion angles when one did tasks in regular and low-floor trucks were greater than that of the EV truck, the reason why the lumbar muscle activities were lower than that of the EV vehicle was explained by the flexion-relaxation phenomenon (FRP) in the discussion section. Subjective discomfort ratings for whole-body and local body parts (neck, shoulder, arm, back) also showed that EVs and regular trucks had better subjective ratings than low-floor trucks.
    Conclusion: The workloads of delivery workers were less in the EV truck, which was newly designed than the regular and low-floor trucks based on the analyses of muscle activities, body flexion angles, and subjective ratings in this study.
    Application: The findings of this study are expected to be used as data to provide information on the physical workloads of delivery workers in low-floor trucks and are also expected to be used as fundamental data for the evaluation process for various delivery vehicles in the future.

    영어초록

    Objective: The aim of this study was to evaluate the workloads of delivery workers when performing loading and unloading tasks for three types (a regular truck, a low-floor truck, which has a low loading height of cargo, and a new design EV lowfloor truck) of trucks.
    Background: Recently, the physical and mental loads of delivery workers were increased, causing the risk of work-related musculoskeletal disorders (WMSDs) due to the rapidly increasing volumes of parcels from COVID-19 and the demand for low-floor trucks to access apartment parking lots.
    Method: Ten adult men who had no musculoskeletal disorders were recruited and performed loading and unloading tasks of 5kg boxes for three types of trucks and three working zones for each truck in this study. The EMG was attached to the upper trapezius (UT), erector spinae (ES), rectus femoris (RF), biceps femoris (BF), tibialis anterior (TA), gastrocnemius (GAS), and the motion sensors were also attached to collect shoulder, back, and knee flexion angles. Subjective discomfort scores also be collected to compare pre- and post-task.
    Results: As a result of the experiment, muscle activity decreased by about 8.2~22.4% when working the EV truck, except for the lumbar muscle. In the case of motion, the flexion angles of the shoulder and back also decreased 8.1~40.3% and 8.1~25.7%, respectively, for the EV truck. Although the back-flexion angles when one did tasks in regular and low-floor trucks were greater than that of the EV truck, the reason why the lumbar muscle activities were lower than that of the EV vehicle was explained by the flexion-relaxation phenomenon (FRP) in the discussion section. Subjective discomfort ratings for whole-body and local body parts (neck, shoulder, arm, back) also showed that EVs and regular trucks had better subjective ratings than low-floor trucks.
    Conclusion: The workloads of delivery workers were less in the EV truck, which was newly designed than the regular and low-floor trucks based on the analyses of muscle activities, body flexion angles, and subjective ratings in this study.
    Application: The findings of this study are expected to be used as data to provide information on the physical workloads of delivery workers in low-floor trucks and are also expected to be used as fundamental data for the evaluation process for various delivery vehicles in the future.

    참고자료

    · 없음
  • 자주묻는질문의 답변을 확인해 주세요

    해피캠퍼스 FAQ 더보기

    꼭 알아주세요

    • 자료의 정보 및 내용의 진실성에 대하여 해피캠퍼스는 보증하지 않으며, 해당 정보 및 게시물 저작권과 기타 법적 책임은 자료 등록자에게 있습니다.
      자료 및 게시물 내용의 불법적 이용, 무단 전재∙배포는 금지되어 있습니다.
      저작권침해, 명예훼손 등 분쟁 요소 발견 시 고객센터의 저작권침해 신고센터를 이용해 주시기 바랍니다.
    • 해피캠퍼스는 구매자와 판매자 모두가 만족하는 서비스가 되도록 노력하고 있으며, 아래의 4가지 자료환불 조건을 꼭 확인해주시기 바랍니다.
      파일오류 중복자료 저작권 없음 설명과 실제 내용 불일치
      파일의 다운로드가 제대로 되지 않거나 파일형식에 맞는 프로그램으로 정상 작동하지 않는 경우 다른 자료와 70% 이상 내용이 일치하는 경우 (중복임을 확인할 수 있는 근거 필요함) 인터넷의 다른 사이트, 연구기관, 학교, 서적 등의 자료를 도용한 경우 자료의 설명과 실제 자료의 내용이 일치하지 않는 경우
문서 초안을 생성해주는 EasyAI
안녕하세요 해피캠퍼스의 20년의 운영 노하우를 이용하여 당신만의 초안을 만들어주는 EasyAI 입니다.
저는 아래와 같이 작업을 도와드립니다.
- 주제만 입력하면 AI가 방대한 정보를 재가공하여, 최적의 목차와 내용을 자동으로 만들어 드립니다.
- 장문의 콘텐츠를 쉽고 빠르게 작성해 드립니다.
- 스토어에서 무료 이용권를 계정별로 1회 발급 받을 수 있습니다. 지금 바로 체험해 보세요!
이런 주제들을 입력해 보세요.
- 유아에게 적합한 문학작품의 기준과 특성
- 한국인의 가치관 중에서 정신적 가치관을 이루는 것들을 문화적 문법으로 정리하고, 현대한국사회에서 일어나는 사건과 사고를 비교하여 자신의 의견으로 기술하세요
- 작별인사 독후감
해캠 AI 챗봇과 대화하기
챗봇으로 간편하게 상담해보세요.
2026년 02월 01일 일요일
AI 챗봇
안녕하세요. 해피캠퍼스 AI 챗봇입니다. 무엇이 궁금하신가요?
2:43 오후