Full-Time

Travel Demand Forecasting Specialist

Posted on 4/18/2024

Fehr & Peers

201-500 employees

Develops transportation solutions for communities

Consulting

Senior

Washington, DC, USA

Required Skills

Python

Data Analysis

Requirements

4-7 years of work experience in travel demand modeling and travel behavior forecasting
Master’s or bachelor’s degree in transportation, civil engineering, or related major
Experience with travel demand modeling software, including Cube, TransCAD, VISUM, Emme, etc.
Ability to communicate clearly and concisely, with strong writing, verbal, non-verbal, and presentation skills
Experience with the development and application of four-step travel demand models, tour-based models, and activity-based models including knowledge of basic statistical concepts and data analysis techniques
Comfort with working beyond the model: understanding limitations, applying the big picture, and generating innovative ideas
Computer and database programming and scripting skills (Python, C++, R, VBA, Access, or similar) and proficiency with GIS
Professional license or certification preferred (e.g., PE, AICP, PTP)

Responsibilities

Analyze and solve complex transportation planning or engineering problems dealing with all travel modes
Apply one or more modeling and statistical analysis software programs, such as CUBE, Emme, TransCAD, or Visum, to generate forecasts from a wide variety of models
Use a variety of other software programs to help visualize forecasts for elected officials, managers, and other decision-makers
Manage projects overseeing staff, deliverables, budget, and schedule
Develop high-quality internal and client relationships
Mentor and develop forecasting staff through projects and trainings
Apply knowledge of the theory, principles, and practices of transportation planning, travel demand forecasting, travel behavior analysis, and data analysis
Think both critically and intuitively through the progression of projects to clearly understand the results and identify insights as to how they are important to the big picture in each unique project
Participate in travel forecasting research through our Forecasting and Operations discipline group
Prepare papers and presentations for technical conferences

Our Washington DC office is looking for an experienced professional to join our team who specializes in travel demand forecasting and travel behavior analysis and is interested in developing travel demand models, evolving conventional practices to provide our clients with the best forecasting advice, and solving problems while learning in a collaborative and entrepreneurial environment. As a member of our forecasting group you will work collaboratively with a diverse set of clients throughout the Eastern United States.

Throughout the company, our forecasting group partners with regional agencies to develop tools that have full functionalities to manage ABM model runs and calculate performance measures for multiple land use and transportation infrastructure scenarios, assists MPOs in updating long-range regional transit plans to reflect new technologies, and refines and streamlines modeling procedures following new SB 743 requirements for multiple agencies. In addition to the professional and project opportunities we offer, Fehr & Peers is an extraordinary place to work and offers a competitive salary and benefits package.

Learn more about the role:

As established leaders in the field, travel behavior forecasting is one of our most important and highly valued services across multiple project areas. We take a creative and intuitive approach to our forecasting work, focusing on applying a wide range of tools and models to answer pressing planning questions for our clients, and we do it all in a collaborative, inclusive, and supportive work environment.

Our travel demand forecasting specialists make significant contributions to our success in transforming transportation consulting. These positions offer the opportunity to partner with metropolitan planning organizations (MPOs), municipalities, transit planning agencies (such as BART, UTA, WMATA, and Sound Transit), and major technology and civil engineering firms to help shape transportation futures. Forecasters at Fehr & Peers work on projects with large impacts, examples include the Caltrain Business Plan (visioning for the entire 70-mile Caltrain corridor), where our forecasts included the use of a four-step model paired with a direct ridership model that produced corridor, station-to-station, and station ridership forecasts, as well as a mode of station access forecasts. We’ve also worked with SCAG and OCTA to provide tools and innovative modeling techniques influencing and streamlining forecasting and transportation planning.

The right candidates for these positions have strengths in developing and applying travel demand models to analyze and solve challenging transportation problems and an ability to evolve conventional practices to consistently provide our clients with the best forecasting advice possible. We’re seeking motivated individuals skilled in solving problems and developing creative approaches in a collaborative environment with the ability to think critically, adjust to unique situations, and provide customized solutions and approaches using a wide range of travel behavior tools and models.

Responsibilities

Analyze and solve complex transportation planning or engineering problems dealing with all travel modes
Apply one or more modeling and statistical analysis software programs, such as CUBE, Emme, TransCAD, or Visum, to generate forecasts from a wide variety of models
Use a variety of other software programs to help visualize forecasts for elected officials, managers, and other decision-makers
Manage projects overseeing staff, deliverables, budget, and schedule
Develop high-quality internal and client relationships
Mentor and develop forecasting staff through projects and trainings
Apply knowledge of the theory, principles, and practices of transportation planning, travel demand forecasting, travel behavior analysis, and data analysis
Think both critically and intuitively through the progression of projects to clearly understand the results and identify insights as to how they are important to the big picture in each unique project
Participate in travel forecasting research through our Forecasting and Operations discipline group
Prepare papers and presentations for technical conferences

Qualifications

4-7 years of work experience in travel demand modeling and travel behavior forecasting (CUBE or TransCAD strongly preferred)
Master’s or bachelor’s degree in transportation, civil engineering, or related major
Experience with travel demand modeling software, including Cube, TransCAD, VISUM, Emme, etc.
Ability to communicate clearly and concisely, with strong writing, verbal, non-verbal, and presentation skills
Experience with the development and application of four-step travel demand models, tour-based models, and activity-based models including knowledge of basic statistical concepts and data analysis techniques
Comfort with working beyond the model: understanding limitations, applying the big picture, and generating innovative ideas
Ability to translate the results of complex analysis to clients in appealing and intuitive ways
Computer and database programming and scripting skills (Python, C++, R, VBA, Access, or similar) and proficiency with GIS
Professional license or certification preferred (e.g., PE, AICP, PTP)

Fehr & Peers

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Fehr & Peers is a leader in crafting tailored transportation solutions that cater to various community needs, accentuated by a robust commitment to self-funded research and development. Their dedication to listening closely to clients and communities, combined with a history of objective partnership since 1985, ensures each project is managed with utmost diligence. This focus on responsive, data-driven strategies in transportation makes it a reliable and rewarding workplace.

Company Stage

N/A

Total Funding

$5M

Headquarters

Walnut Creek, California

Founded

1985

Growth & Insights

Headcount

6 month growth

↑ 0%

1 year growth

↑ 6%

2 year growth

↑ 5%