At High Street, foresight is the essence of our philosophy. We help transportation practitioners understand emerging issues, solve problems, and deliver the best possible future for their constituents. We provide insight and innovation that no other company can through our dedication to seven essential attributes.
The core values we strive for:
Creativity: We are intellectually curious and apply that curiosity to deliver inventive and imaginative solutions to our clients
Excellence: We always deliver timely, high quality, thoughtful solutions
Dependability: We reliably do what it takes to come through for our clients, our partners, and each other
Collaboration: We work as a cooperative team, both internally and externally, that leverages each other's strengths
Diversity: We recognize the value that our diverse backgrounds and perspectives contribute to our products, client services, and company culture
Grit: We have the passion, perseverance, and resourcefulness to ensure we always deliver our best, even when challenges arise
Flexibility: We readily adjust to changing project circumstances, respond to evolving client needs, and maintain balance with life outside of work
Creative yet practical support for the programs, organizational structures, and business processes that are vital to the success of transportation agencies.
Performance-informed, stakeholder-focused, and scenario-driven statewide plans, developed through innovative approaches, which help agencies make better decisions about resource allocation, program structure, and policy changes to improve future transportation system performance.
Strategies for effective performance management that integrate data and analytics into agency processes and communication to achieve greater transparency and better outcomes.
Pragmatic solutions for sustainable transportation approaches through systematic integration into agency plans, projects, policies, and operations.
Empowering transportation agencies to make data-informed investment decisions through an understanding of stakeholder priorities and performance implications of different policy actions.
Insights and predictions derived through artificial intelligence, machine learning, and advanced statistical analysis to inform agency decision making from planning and project development to maintenance and operations.
Development of GIS-based products and tools that bring data to life, ensuring transportation agencies are able to get the right data to the right person at the right time.
Artfully compelling visualizations, infographics, and dashboards that concisely reveal trends and patterns that shape our transportation world, and help agencies understand and share their data.
Predictive model calibration, custom development of innovative cross-asset decision tools, cost-efficient asset inventory development, facilitation and documentation of risk-based TAM strategies, and expertise integrating TAM into broader planning initiatives.
A comprehensive, data-informed approach to freight planning that includes stakeholder engagement, plan coordination, identification of critical corridors, goal-driven project prioritization, policy development, and implementation for an integrated freight system.
Cutting edge data analytics, meaningful stakeholder engagement, strategic decision making, and robust communications to help agencies develop and implement highway safety plans, programs, and processes that save lives and reduce crashes.
Engaging storytelling supported by compelling visuals and data creates successful grant applications, empowering transportation agencies to secure funding to solve more problems.
High Street is a small firm of experienced professionals who help our clients plan, develop, deliver, and evaluate transportation projects, policies, and programs. We are always on the lookout for highly competent individuals who embody our firm's core values. If you are interested in working with us in a collaborative and stimulating environment, please contact us at careers@highstreetconsulting.com expressing your field of interest.