Free Transportation Survey

This question establishes commuting frequency, essential for understanding travel patterns. It helps us segment respondents by regular and occasional commuters.

Measuring commute time reveals time spent on the road or transit. This insight guides efforts to reduce travel time and improve service efficiency.

Departure times help identify peak travel periods. It informs scheduling and resource allocation to ease congestion.

Knowing arrival times complements departure data and highlights traffic flow trends. It supports targeted improvements during high-demand windows.

This question pinpoints peak-hour travelers. It aids in planning capacity and minimizing overcrowding or delays.

Understanding departure time drivers uncovers personal or external constraints. It helps develop solutions like flexible scheduling or dynamic routing.

This question reveals willingness to adapt schedules based on congestion. It indicates flexibility and potential demand for alternative scheduling options.

Identifying commute purposes segments travel motivations. Such data guides tailored services for different commuter groups.

Perceived predictability affects overall commute satisfaction. This helps pinpoint reliability issues that need addressing.

Frequency of delays indicates system resilience. It highlights areas for operational improvements and better communication strategies.

This broad satisfaction metric serves as a benchmark for all other questions. It indicates general sentiment and potential areas for improvement.

Comfort influences commuter choices and loyalty. It helps prioritize investments in seating, climate control, and ride quality.

Safety perceptions directly impact mode selection and ridership levels. Addressing safety concerns can boost user confidence and usage.

Reliability measures on-time performance and consistency. It is key to reducing stress and improving user trust in the system.

Cleanliness affects perceived quality and health considerations. It guides cleaning schedules and maintenance priorities.

Seat availability contributes to passenger comfort and satisfaction. It helps services determine when and where to increase capacity.

Clear communication reduces uncertainty and frustration. It highlights the effectiveness of current information channels.

Cost satisfaction affects affordability and mode choice. Understanding price sensitivity informs fare strategies and subsidies.

Environmental concerns drive shifts toward greener transit. This question assesses willingness to adopt more sustainable options.

The net promoter-like question gauges advocacy potential. It serves as an indicator of overall satisfaction and system health.

This question identifies the priority criteria for commuters. It helps allocate resources to areas like cost, time, or comfort.

Cost sensitivity affects mode selection and loyalty. It guides pricing models and fare policies.

Time savings are a major factor for most travelers. Insights here inform service frequency and express options.

Comfort level influences repeat usage and satisfaction. It directs enhancements in seating, cleanliness, and ride quality.

Flexibility requirements vary by traveler needs. Understanding this aids in designing multi-stop and on-demand services.

Environmental awareness drives green transportation adoption. This helps promote eco-friendly options and incentives.

This question gauges willingness to try alternative services. It assesses potential uptake for express or dedicated routes.

Cost reduction can shift travel behavior. It measures price elasticity and demand for budget alternatives.

Multimodal travel reflects flexibility and network integration. It highlights the importance of seamless connections.

Adoption of new tech impacts future service offerings. This informs pilot programs and technology investments.

Usage frequency identifies core transit users versus occasional riders. It informs service planning and capacity needs.

This question determines mode popularity within public systems. It guides resource allocation across buses, trains, and trams.

Understanding route selection drivers highlights areas for improvement like coverage or speed. It helps optimize network design.

Scheduling satisfaction affects wait times and ridership. It points to areas where increasing frequency could boost use.

Stop accessibility impacts first-mile/last-mile connectivity. This feedback helps improve stop placement and access routes.

Clarity of information aids navigation and user confidence. It informs graphic design and signage improvements.

Station safety affects overall perception of public transport. It guides security measures and infrastructure upgrades.

Delay frequency indicates operational reliability. This data supports performance monitoring and service adjustments.

Ease of purchase influences ridership and satisfaction. It suggests areas for digitalization or system upgrades.

This open-ended question gathers direct suggestions from users. It informs strategic planning and service enhancements.

This measure identifies regular and occasional ride-sharing users. It helps evaluate demand and service frequency.

Knowing platform preferences highlights market leaders. It can influence partnerships or targeted features.

Choice drivers like price, availability, and safety inform platform competition. It supports service differentiation strategies.

Wait time satisfaction impacts perceived convenience. It guides dispatch algorithms and fleet optimization.

Safety perception affects adoption rates. It indicates areas for driver training and security features.

Cost comparisons reveal value perceptions. It helps position ride-sharing relative to public transport or driving.

This question expands the scope to micromobility usage. It gauges interest in diverse alternative options.

Availability affects usage rates of micromobility services. It informs dock placement and fleet management.

Identifying barriers uncovers issues like safety, cost, or infrastructure. It guides targeted interventions to remove obstacles.

This question assesses openness to shared rides beyond apps. It explores community-based solutions and employer programs.