Shuttle Drivers and Chauffeurs
Transportation and Material Moving Occupations- رمز O*NET-SOC
- 53-3053.00
Drive a motor vehicle to transport passengers on a planned or scheduled basis. May collect a fare. Includes nonemergency medical transporters and hearse drivers.
تُعرض أسماء المهن وأوصاف المهام بالإنجليزية كما نُشرت. أما التسميات، ومنها أنواع المهام، فمترجمة.
التعرّض للذكاء الاصطناعي
- مصدر البيانات: BLSتاريخ النشر: 2026-08
متوسط· نسبي
منخفضأربع فئات نسبيةمرتفع جدًاقيمة على مستوى المجموعة المهنية
المقياس والأساس والمصدر
أربع فئات نسبية (منخفض / متوسط / مرتفع / مرتفع جدًا)
831 مهنة تفصيلية في جدول توقعات التوظيف لدى BLS. وتُسند القيمة على مستوى رمز مصفوفة التوظيف الوطنية (NEM)، فالمهن التي تشترك في الرمز نفسه تأخذ النطاق نفسه
- مصدر البيانات: Anthropicتاريخ النشر: 2026-03
0.000
0.000نطاق القيم المعروضة هنا0.745المقياس والأساس والمصدر
مؤشر التعرّض المرصود، 0–1 كما نُشر
مربوط بمهام O*NET
منشورة لكل مهنة في SOC 2018؛ وكل مهنة في O*NET تحمل رمز SOC 2018 نفسه تأخذ هذه القيمة
- مصدر البيانات: ILOتاريخ النشر: 2025
0.18–0.28· مجموعتا ISCO-08
المقياس والأساس والمصدر
مؤشر التعرّض للذكاء الاصطناعي التوليدي، 0–1 كما نُشر
قيمة منشورة على مستوى مجموعة الوحدة في ISCO-08. رُبطت بهذه المهنة بتطبيق جداول التناظر الرسمية لمكتب إحصاءات العمل الأمريكي (BLS) (من ISCO-08 إلى SOC 2010، ومن SOC 2010 إلى SOC 2018) كما نُشرت، والتناظر كلي أو جزئي
ما نوع القيمة التي ينشرها هذا المصدر
فئة BLS رتبة نسبية لا مستوى مطلق، وليست قياسًا مباشرًا: فهي تجمع الرتب المئينية للمهنة في عدة دراسات منشورة في أربع فئات. وهي ليست توقّعًا للتوظيف أو الأجور، ولا احتمالًا للتبني، ولا تفرّق بين الأتمتة والتعزيز.
قيمة ILO لكل مجموعة ISCO-08 مرتبطة
- ISCO-08 8322Car, Taxi and Van Drivers0.28
- ISCO-08 8331Bus and Tram Drivers0.18
التعرض للذكاء الاصطناعي (معيار OpenAI)
26 مهمة مقيَّمة · 8 مهمة بقيمة β ≥ 0.5 (30.8%)
β = التعرّض المباشر (E1) + 0.5 × التعرّض عند توفر الأدوات (E2)، وفق تعريف المستودع المصدري.
- وحدة المصدر: مهام O*NET 27.2 ← رمز المهنة في O*NET 31.0
- جميع المهام المقيَّمة موجودة في قائمة مهام O*NET 31.0.
- المصدر
- OpenAI "GPTs are GPTs" exposure rubric
- الإصدار
- gh-main-0471612
- الترخيص
- MIT License, Copyright (c) 2024 OpenAI
المهام
أوصاف المهام من O*NET® 31.0 Database، والمهام الأساسية أولًا.
| المهمة | النوع | β (OpenAI) |
|---|---|---|
| Arrange to pick up particular customers or groups on a regular schedule. | أساسية | 0.5 |
| Check the condition of a vehicle's tires, brakes, windshield wipers, lights, oil, fuel, water, and safety equipment to ensure that everything is in working order. | أساسية | 0 |
| Communicate with dispatchers by radio, telephone, or computer to exchange information and receive requests for passenger service. | أساسية | 1 |
| Complete accident reports when necessary. | أساسية | 1 |
| Comply with traffic regulations to operate vehicles in a safe and courteous manner. | أساسية | 0 |
| Drive shuttle busses, limousines, company cars, or privately owned vehicles to transport passengers. | أساسية | 0 |
| Follow relevant safety regulations and state laws governing vehicle operation, and ensure that passengers follow safety regulations. | أساسية | 0 |
| Maintain knowledge of first-aid procedures. | أساسية | 1 |
| Notify dispatchers or company mechanics of vehicle problems. | أساسية | 0 |
| Operate vehicles with specialized equipment, such as wheelchair lifts, to transport and secure passengers with special needs. | أساسية | 0 |
| Perform routine vehicle maintenance, such as regulating tire pressure and adding gasoline, oil, and water. | أساسية | 0 |
| Pick up and drop off passengers at regularly scheduled neighborhood locations, following strict time schedules. | أساسية | 0 |
| Pick up or meet passengers according to requests, appointments, or schedules. | أساسية | 0 |
| Prepare and submit reports that may include the number of passengers or trips, hours worked, mileage driven fuel consumed, or fares received. | أساسية | 1 |
| Provide passengers with assistance entering and exiting vehicles, and help them with any luggage. | أساسية | 0 |
| Provide passengers with information or advice about the local area, points of interest, hotels, or restaurants. | أساسية | 0.5 |
| Read maps and follow written and verbal geographic directions. | أساسية | 0 |
| Record vehicle routes. | أساسية | 0.5 |
| Regulate heating, lighting, and ventilation systems for passenger comfort. | أساسية | 0 |
| Report any vehicle malfunctions or needed repairs. | أساسية | 0 |
| Report delays, accidents, or other traffic and transportation situations, using telephones or mobile two-way radios. | أساسية | 1 |
| Test vehicle equipment, such as lights, brakes, horns, or windshield wipers, to ensure proper operation. | أساسية | 0 |
| Vacuum and clean interiors, and wash and polish exteriors of automobiles. | أساسية | 0 |
| Collect fares or vouchers from passengers, and make change or issue receipts as necessary. | تكميلية | 0 |
| Perform errands for customers or employers, such as delivering or picking up mail and packages. | تكميلية | 0 |
| Perform minor vehicle repairs, such as cleaning spark plugs, or take vehicles to mechanics for servicing. | تكميلية | 0 |
معلومات مهنية
المصادر والإسناد
This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.
Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.
O*NET OnLine: 53-3053.00 Shuttle Drivers and Chauffeurs
KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.