How to become a Town and Traffic Planner
Official title: Town and Traffic Planners
Plans, designs and oversees plans and policies for urban development, parks, roads, scenic areas, commercial and industrial zones and transport systems, and advises on land use and regional development.
Main tasks
- Plan, design and coordinate the development of urban areas
- Compile and analyse how economic, industrial, legal, policy, cultural, demographic, social, physical and environmental factors affect land use
- Consult government, communities and experts, plan and recommend land use and development, and present design reports
- Review and prepare environmental impact assessments for public works such as parks, schools, institutions, airports and railways
- Plan and recommend road traffic routes and public transport systems
Ways in
- University department: Architecture & Built Environment degrees, Offered by 34 universities in Taiwan
- Licence (national exam): Regulated profession. To practise as a professional urban planning or traffic engineer you must pass the national Professional and Technical Examination (專門職業及技術人員考試) for 都市計畫技師、交通工程技師 and hold the certificate. Listed in the annex to article 2 of the Enforcement Rules of the Professional and Technical Examinations Act, item 18.
Pay · Outlook · AI and this job
- Average pay: NT$698,000 a year
- Demand for Science and engineering jobs is projected at about 952,000 in 2024 and about 1,072,000 in 2030. (+12.6%)
- Generative AI can do relatively little of this work, by the ILO's global estimate.
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Questions people ask
How do I become a Town and Traffic Planner?
Ways in include: Architecture & Built Environment degrees.
How much does a Town and Traffic Planner earn in Taiwan?
Average pay is NT$698,000 a year (Ministry of Labor, Department of Statistics).
Is a Town and Traffic Planner a growing career in Taiwan?
Demand for this job family is projected to change 12.6% from 2024 to 2030 (National Development Council).
Will AI change the work of a Town and Traffic Planner?
Generative AI can do relatively little of this work, by the ILO's global estimate.
Sources
- Ministry of Labor, Department of Statistics: Occupational Wage Survey (職類別薪資調查) (2025 survey (July 2025 monthly, 2024 annual), released 2026-05-29), Open Government Data License, version 1.0, retrieved 4 October 2026
- National Development Council: Final manpower demand projections by occupation (職業別最終人力需求推估) (2025 to 2030 (base 2024), 13 job families), CC BY 4.0, retrieved 4 October 2026
- International Labour Organization, Generative AI and Jobs: A Refined Global Index of Occupational Exposure (ILO Working Paper 140, Gmyrek et al.) (ILO Working Paper 140, May 2025, Annex Table A1), CC BY 4.0, retrieved 4 October 2026
Updated 4 October 2026