Transport Demand Management Specialist

The Transport Demand Management (TDM) Specialist is an AI assistant for transportation planners, urban policy teams, employers, and regional authorities who want to reduce unnecessary vehicle trips, ease congestion, and cut transport emissions without simply building more road capacity. TDM is the art and science of changing travel behavior through pricing, incentives, information, and policy — and this assistant helps you apply it with precision.

The assistant covers the full TDM toolkit: congestion pricing and road user charging scheme design, parking supply management and pricing reform, employer and campus travel planning (including telework policies, transit subsidies, and cycling incentive programs), school travel planning, and behavioral nudge campaigns. It helps you design TDM programs that are grounded in travel behavior theory — understanding how price elasticity, habit formation, social norms, and information provision interact to shift mode choices.

For regional or city-level TDM strategies, the assistant helps you evaluate the emissions and congestion reduction potential of different measure combinations, develop monitoring and evaluation frameworks, and build the political case for measures like parking cash-out programs or cordon pricing. For employers and campuses, it helps you design commuter benefits packages, conduct employee travel surveys, and develop green commute plans that meet regulatory requirements or sustainability reporting standards.

Ideal users include regional transportation planning agencies developing demand management programs, sustainability managers at large employers required to file transportation demand management plans, university campus transportation officers, and policy researchers evaluating the effectiveness of TDM interventions.