Bike Sharing & Micro-Mobility Usage Survey
Riders in shared mobility markets evaluate, compare, and choose between docked bikes, dockless e-bikes, and scooters based on availability, pricing, and trip reliability, so you can sharpen acquisition targeting, fix pricing tiers, and improve fleet positioning.
CONTEXT & RELEVANCE
Why run this survey now
Most micro-mobility operators don't lose riders purely on fleet availability. They lose them due to inconsistent docking access, unclear trip pricing, safety perception gaps, poor last-mile route fit, and weak loyalty incentives, none of which fully show up in ride-completion logs or app engagement metrics.
If you are...
- Bike-share network expansion head
- E-scooter fleet operations lead
- Mobility product planning manager
- Urban transit partnership director
- Micro-mobility revenue strategy lead
You're likely facing...
- Ride frequency drop after trial
- Docking vs dockless fit confusion
- E-bike vs e-scooter preference split
- Commuter vs leisure segment blur
- Pricing plan vs usage mismatch
This will help answer...
- Primary ride occasion drivers
- Funnel drop at subscription stage
- Segment preference by trip purpose
- Fare structure vs willingness to pay
- Churn triggers and reactivation levers
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete rider journey from first trip to habitual daily commute.
Discovery & Adoption
- First-ride trigger channels
- App download to activation gap
Trip Purpose & Context
- Commute vs. leisure split
- Last-mile transit connection rate
Fleet & Vehicle Preference
- Pedal vs. e-assist preference drivers
- Docked vs. dockless station tolerance
Pricing & WTP
- Per-minute vs. subscription trade-off
- Price ceiling before mode switch
Journey Friction
- Station availability failure points
- App unlock and payment drop-offs
Safety & Confidence
- Helmet availability and compliance
- Infrastructure gaps limiting ride zones
Loyalty & Switching
- Multi-operator app usage patterns
- Churn triggers and re-engagement gaps
Sustainability & Perception
- Green commute motivation weight
- Operator brand trust signals
SAMPLING STRATEGY
Tell us about your ideal sample
Help us understand your target respondent profile. Select what applies, we'll design the optimal sample plan based on your inputs.
METHODOLOGY
Survey approach
For the Bike Sharing and Micro-Mobility Usage Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across rider segments and geographies.
EXECUTION PROCESS
How we execute
A proven 9-step process from scoping to delivery, designed to ensure quality, speed, and actionable insights.
Define the decision frame
Confirm objectives, target cohorts, geographies, and reporting cuts
Define the decision frame
Design the instrument
Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)
Design the instrument
Lock the questionnaire
Review wording, sequencing, LOI, and competitive context; approve final version
Lock the questionnaire
Pilot and calibrate
Test comprehension and ease quality; refine quotas and remove friction where needed
Pilot and calibrate
Run fieldwork
Execute collection with active quota management and feasibility controls
Run fieldwork
Assure quality
Dedupe, attention checks, speed/consistency rules, removals with audit trail
Assure quality
Prepare the dataset
Clean data and deliver codebook/variable definitions
Prepare the dataset
Analyse and synthesise
Driver ranking, leakage diagnostics, pricing bands, segment insights
Analyse and synthesise
Deliver and align
Executive deck (optional dashboard) and leadership readout with recommendations
Deliver and align
COMMERCIAL TERMS
Request a Commercial Proposal
Pricing depends on cohort, geography, sample size, approach, LOI, and deliverables. Configure below for an indicative estimate.
Select Sample Size
Geography
Select Mode of Survey
Length of the Interview
$0.00
+ applicable taxes
Cost Breakdown
Note: Estimate is indicative only. Final pricing is subject to scope finalization after discovery call.
REFERENCE CASELETS
Reference
Real-world examples of survey work in the bike sharing and micro-mobility space.
Docked vs. dockless ride preference & pricing corridor (Urban India)
OBJECTIVE
WHAT WE DID
DELIVERED
Docked vs. dockless ride preference & pricing corridor (Urban India)
Fleet operator channel strategy & message territories (Southeast Asia)
Docked vs. dockless ride preference & pricing corridor (Urban India)
OBJECTIVE
A pan-India shared mobility operator needed to isolate how daily commuters , last-mile switchers , and recreational riders choose between docked stations and dockless fleets , and what pricing thresholds trigger or block first-time activation.
WHAT WE DID
Ran a structured quant survey across 6 cities with 900 respondents, capturing trip purpose , station proximity tolerance , per-ride price sensitivity , subscription versus pay-per-use preference , and stated barriers to repeat usage by rider segment.
DELIVERED
A segment-level pricing corridor by rider type, a station placement priority framework ranked by commuter density and trip frequency, and a barrier list identifying the top friction points blocking conversion from trial to regular usage.
FREQUENTLY ASKED QUESTIONS
Common Questions
Answers to frequently asked questions about this survey mandate.
What decisions will this survey enable?
Who is the buyer vs who are the respondents?
Can we see differences between daily commuters, occasional leisure riders and lapsed users?
How will you measure station and route preference beyond simple ratings?
Will the survey map the full ride decision journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our fleet expansion and partnership decisions?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.