도시·지역 계획가
생명·물리·사회과학직Urban and Regional Planners
- O*NET-SOC 코드
- 19-3051.00
Develop comprehensive plans and programs for use of land and physical facilities of jurisdictions, such as towns, cities, counties, and metropolitan areas.
한국어 직업명은 AI Changing Work의 번역입니다. 과업 문장과 원천 값은 공표된 영문 그대로 표시합니다.
AI 노출도
- 데이터 출처: BLS발행 시점: 2026-08
매우 높음· 상대
낮음4단계 상대 범주매우 높음직업군 단위 값
척도 · 모수 · 출처
4단계 상대 범주 (낮음 / 보통 / 높음 / 매우 높음)
BLS 고용전망 표의 세부직업 831개 기준. 값은 NEM(전국고용매트릭스) 코드 단위로 부여되므로, 같은 NEM 코드를 쓰는 직업은 같은 밴드를 받습니다
- 데이터 출처: Anthropic발행 시점: 2026-03
0.096
0.000여기 실린 값의 범위0.745척도 · 모수 · 출처
관측 노출 지수, 발행된 그대로 0–1
O*NET 과업 매핑 기준
SOC 2018 직업 단위로 발행된 값이며, 같은 SOC 2018 코드를 가진 O*NET 직업은 모두 이 값을 받습니다
- 데이터 출처: ILO발행 시점: 2025
0.41
0.09여기 실린 값의 범위0.70직업군 단위 값
척도 · 모수 · 출처
생성형 AI 노출 지수, 발행된 그대로 0–1
ISCO-08 직업군 단위로 발행된 값입니다. 미국 노동통계국(BLS)의 공식 교차표(ISCO-08→2010 SOC, 2010 SOC→2018 SOC)를 그대로 적용해 이 직업에 연결했으며, 연결은 전부 또는 일부 대응입니다
이 원천이 어떤 종류의 값인가
BLS 범주는 절대 수준이 아니라 상대 순위이며, 1차 측정도 아닙니다. 여러 선행 연구가 매긴 직업별 백분위 순위를 4단계로 묶은 값입니다. 고용·임금 예측도, 도입 확률도 아니며 자동화와 증강을 구분하지 않습니다.
AI 노출도 (OpenAI 루브릭)
평가 과업 25개 · β ≥ 0.5 인 과업 24개 (96.0%)
β = 직접 노출(E1) + 0.5 × 도구 활용 시 노출(E2). 원본 저장소의 정의를 따릅니다.
- 원천 단위: O*NET 27.2 과업 → O*NET 31.0 직업 코드
- 채점된 과업이 모두 O*NET 31.0 과업 목록에 있습니다.
- 출처
- OpenAI "GPTs are GPTs" exposure rubric
- 판
- gh-main-0471612
- 라이선스
- MIT License, Copyright (c) 2024 OpenAI
과업
O*NET® 31.0 Database의 과업 문장입니다. 핵심(Core) 과업을 먼저 보입니다.
| 과업 | 유형 | β (OpenAI) |
|---|---|---|
| Design, promote, or administer government plans or policies affecting land use, zoning, public utilities, community facilities, housing, or transportation. | 핵심 | 0.5 |
| Recommend approval, denial, or conditional approval of proposals. | 핵심 | 0.5 |
| Create, prepare, or requisition graphic or narrative reports on land use data, including land area maps overlaid with geographic variables, such as population density. | 핵심 | 0.5 |
| Advise planning officials on project feasibility, cost-effectiveness, regulatory conformance, or possible alternatives. | 핵심 | 0.5 |
| Conduct field investigations, surveys, impact studies, or other research to compile and analyze data on economic, social, regulatory, or physical factors affecting land use. | 핵심 | 0.5 |
| Discuss with planning officials the purpose of land use projects, such as transportation, conservation, residential, commercial, industrial, or community use. | 핵심 | 0.5 |
| Keep informed about economic or legal issues involved in zoning codes, building codes, or environmental regulations. | 핵심 | 0.5 |
| Mediate community disputes or assist in developing alternative plans or recommendations for programs or projects. | 핵심 | 0.5 |
| Coordinate work with economic consultants or architects during the formulation of plans or the design of large pieces of infrastructure. | 핵심 | 0.5 |
| Review and evaluate environmental impact reports pertaining to private or public planning projects or programs. | 핵심 | 0.5 |
| Supervise or coordinate the work of urban planning technicians or technologists. | 핵심 | 0.5 |
| Hold public meetings with government officials, social scientists, lawyers, developers, the public, or special interest groups to formulate, develop, or address issues regarding land use or community plans. | 핵심 | 0 |
| Advocate sustainability to community groups, government agencies, the general public, or special interest groups. | 핵심 | 0.5 |
| Develop plans for public or alternative transportation systems for urban or regional locations to reduce carbon output associated with transportation. | 핵심 | 0.5 |
| Evaluate proposals for infrastructure projects or other development for environmental impact or sustainability. | 핵심 | 0.5 |
| Identify opportunities or develop plans for sustainability projects or programs to improve energy efficiency, minimize pollution or waste, or restore natural systems. | 핵심 | 0.5 |
| Determine the effects of regulatory limitations on land use projects. | 핵심 | 0.5 |
| Assess the feasibility of land use proposals and identify necessary changes. | 핵심 | 0.5 |
| Investigate property availability for purposes of development. | 핵심 | 0.5 |
| Conduct interviews, surveys and site inspections concerning factors that affect land usage, such as zoning, traffic flow and housing. | — | 0.5 |
| Prepare reports, using statistics, charts, and graphs, to illustrate planning studies in areas such as population, land use, or zoning. | — | 0.5 |
| Prepare, develop and maintain maps and databases. | — | 0.5 |
| Prepare, maintain and update files and records, including land use data and statistics. | — | 0.5 |
| Research, compile, analyze and organize information from maps, reports, investigations, and books for use in reports and special projects. | — | 0.5 |
| Respond to public inquiries and complaints. | — | 0.5 |
직업 정보
출처와 귀속
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: 19-3051.00 Urban and Regional Planners
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.