Travel Modeling Intern

Mountainland Association of Governments; Orem (UT); On-site; USD 21,000 - 34,000; Part time

Job summary

Mountainland Association of Governments in Orem, Utah, is looking for a Travel Modeling Intern to support the Analytics division within the MAG Planning Department. The role involves preparing regional Travel Demand Model input files in Bentley Cube, GIS data work, and data processing tasks using Python, R, and Excel.

Expect logistics that include in-person, up to 19 hours per week, for up to six months. You will help prepare GIS data, run model scenarios, and produce maps and datasets for

Qualifications

• Degree in geography, urban planning, civil engineering, statistics, or data science.
• Experience with Esri GIS software (ArcGIS Pro/Online).
• Understanding of regional transportation and land use planning in Utah County.
• Experience using Google Workspace.
• Familiarity with programming tools (Python, R, HTML, etc.).
• Willingness to learn new skills and proactively solve problems.
• Proactive, detail-oriented attitude.
• Availability to work an average of 19 hours per week.
• Valid driver’s license and access to a vehicle.

Responsibilities

• Prepare input GIS data for MAG forecasting models.
• Process and consolidate land use and transportation data for Summit, Utah, and Wasatch Counties.
• Prepare transportation network input files for travel model scenario development.
• Run and process regional travel demand model scenarios.
• Produce high-quality maps and datasets for stakeholders.
• Support GIS needs in other MAG Planning Department divisions.
• Other duties as assigned.

Skills

GIS data analysis

Attention to detail

Problem solving

Education

BS or MS degree in geography, urban planning, civil engineering, statistics, data science

Tools

ArcGIS Pro

ArcGIS Online

Python

R

Excel

Job description

Travel Modeling Intern

Planning - Orem, Utah (In-Person)

Applications Due: Aug 24th

Job Summary:

The Travel Modeling Intern will provide support to the Analytics division in the MAG Planning Department. MAG’s Planning Department oversees transportation planning, programming, policy, data analytics, and community planning for the Metropolitan Planning Organization (MPO) in Utah County and the Rural Planning Organization (RPO) in Summit and Wasatch Counties, providing a forum for discussion and cooperation among local government representatives concerning region-wide issues.

This role involves preparing and updating regional travel demand model input files in Bentley’s Cube software, as well as other GIS data, maps, and tools to support regional forecasting and planning efforts. Tasks may also include data processing tasks in Python, R, Excel, or other data analysis software packages. Further tasks will involve running model scenarios and processing results for communication to broader stakeholders.

This is a part-time, up to 19 hours per week position expected to last no more than 6 months.

Responsibilities:

• Prepare input GIS data for the MAG forecasting models, which influence population projections and projects included in the Regional Transportation Plan (RTP).
• Process and consolidate land use and transportation data for Summit, Utah, and Wasatch Counties.
• Prepare transportation network input files for travel model scenario development purposes.
• Run and process regional travel demand model scenarios.
• Produce high-quality maps and datasets intended for key stakeholders.
• Support GIS needs in other divisions in the MAG Planning Department.
• Other duties as assigned.

Qualifications:

• Working towards a BS or MS degree in geography, urban planning, civil engineering, statistics, data science, or other related discipline
• Experience working in Esri GIS software (ArcGIS Pro, ArcGIS Online)
• An understanding of regional transportation and land use planning in Utah County
• Experience using Google Workspace
• Familiarity with programming tools (e.g., Python, R, HTML, etc.)
• Willingness and ability to quickly learn new skills and proactively consider solutions to complex problems.
• Proactive, detail-oriented attitude
• Availability to work an average of 19 hours per week
• Valid driver’s license and access to a vehicle