Post-trial survey data for shared micromobility pricing revealed preference experiment
Data files
Dec 08, 2025 version files 21.48 KB
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README.md
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survey_post_control_dryad.csv
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survey_post_treatment_dryad.csv
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Abstract
This dataset represents de-identified post-trial survey responses from participants in either control or treatment groups for the Fall 2024 shared micromobility (SMM) pricing trial launched in partnership with SPIN in Davis, CA. The trial sought to understand the potential effect of a new flat rate pricing plan on users' demand for SMM. We designed new flat rate plans with two different minute caps (15 minutes and 25 minutes) and three different pricing levels ($1.75, $2.50, and $3.25); SPIN randomly selected 1,164 current SMM users and assigned them to one of the six new pricing plans (two minute caps x three price levels). Those assigned to a treatment group could choose to use the assigned new flat rate pricing plan or any existing plan for each trip during the trial period. We analyzed users’ SMM trip frequency before and during the trial.
The post-trial survey collected information about general socio-demographic characteristics (e.g., race, gender, income) and any life events that may have influenced respondents’ typical use of SPIN services. Additional questions assessed awareness of the promotional flat rate pricing, preferences between e-bikes and e-scooters, and perceptions of SPIN device availability.
Dataset DOI: 10.5061/dryad.83bk3jb6j
Description of the data and file structure
File: survey_post_control_dryad.csv
Description: Survey response data from control group
Variables
- Response.ID: unique code identifying respondent
- age: Survey question: How old are you? Answer options: under_18 = Under 18; age18_24 = 18-24 years old; age25_34 = 25-34 years old; age35_44 = 35-44 years old; age45_55 = 45-55 years old; age55_64 = 55-64 years old; age65_ = 65+ years old
- gender: Survey question: To which gender do you most identify? Answer options: male = Male; female = Female; other = Non-binary/third gender; prefer_not_to_say = Prefer not to say
- race: Survey question: Please tell us which race/ethnicity categories best describe you (select all that apply) Answer options: american_indian = American Indian/Alaskan Native; asian = Asian; black = Black/African American; hispanic = Hispanic/Latino; pacific_hawaiian = Pacific Islander/Native Hawaiian; white = White; other = Other
- work_status: Survey question: What is your work status? Answer options: working_commute = Working, and I commute to at least one workplace; working_not_commute = Working, and I don't commute (e.g. from home or without fixed workplace locations); retired_commute = Retired but I still commute to at least one workplace; retired_not_commute = Retired and I don't commute to a workplace; not_working = Not currently working; unable_to_work = Permanently unable to work
- student: Survey question: Are you currently a student? Answer options: full_student = Full-time student; part_student = Part-time student; not_student = Not a student
- education: Survey question: What is your highest completed level of education? Answer options: no_education = No formal education; jr_high = Grad school or Jr. High; high_school = High school diploma or GED; associate_tec_certificate = Associate or technical certificate; bachelors_degree = Bachelor’s degree(s); graduate_degree = Graduate degree(s)
- driving_license: Survey question: Do you have a driver’s license issued by a U.S. state? Answer options: yes = Yes; not_current = In the past but not currently; never = Have never had one
- presence_household_member: Survey question: Do you live with family members or others with whom you share income?
- personal_income: (if presence_household_member = no) Last year, what was your approximate personal income before taxes?
- household_income: (if presence_household_member = yes) Last year, what was your approximate HOUSEHOLD income before taxes?
- major_change: Survey question: Since October 2nd, 2024, please indicate if life events (moved where you live, work, go to school, had a child, got married, got injured, etc.) caused you to change your typical use of SPIN. Answer options: increased = Yes, I increased my use of SPIN because of life events; decreased = Yes, I decreased my use of SPIN because of life events; no_change = No, I did not change my use of SPIN because of life events
- vehicle_consideration: Survey question: Do you consider both e-bikes and e-scooters as options when you use SPIN? Answer options: yes_both = Yes, I would use either e-bike or e-scooter; prefer_bike = Yes, but I prefer e-bikes; prefer_scooter = Yes, but I prefer e-scooters; only_bike = No, I would use only e-bike and never use e-scooter if e-scooter is only available; only_scooter = No, I would use only e-scooter and never use e-bike if e-bike is only available
- reason_no_ebike: (if vehicle_consideration = only_scooter) Survey question: Why don't you consider SPIN e-bikes as a travel option? Select all that apply. Answer options: bike_feel_unsafe = I feel unsafe on an e-bike; bike_no_how_to_ride = I don't know how to ride an e-bike; bike_no_pedal = I prefer not to pedal; bike_not_easy_carry = I cannot easily carry things with me; other = other
- reason_no_scooter: (if vehicle_consideration = only_bike) Survey question: Why don't you consider SPIN e-scooters as a travel option? Select all that apply. Answer options: scooter_unsafe = I feel unsafe on an e-scooter; scooter_no_how_to_ride = I don’t know how to ride an e-scooter; scooter_not_easy_carry = I cannot easily carry things with me; other = other
- reason_prefer_bike: (if vehicle_consideration = prefer_bike) Survey question: Why do you prefer to use e-bike-share? Select all that apply. Answer options: more_fun = I have more fun on a bike; I feel safer on a bike; Bikes are more comfortable than scooters; Bikes are more available than scooters; I can more easily carry things with me; I can reach my destination faster; Other
- reason_prefer_scooter: (if vehicle_consideration = prefer_scooter) Survey question: Why do you prefer to use scooter-share? Select all that apply. Answer options: feel_safer = I feel safer on a scooter; more_fun = I have more fun on a scooter; more_available = Scooters are more available than bikes; easy_carry = I can more easily carry things with me; faster = I can reach my destination faster; other = other
- service_unavailability: Since the beginning of October, about what percentage of the time were you not able to find a nearby available SPIN device in Davis?
Missing values
Indicated by blank cell
File: survey_post_treatment_dryad.csv
Description: Survey response data from treatment groups
Variables
Variable names and corresponding survey questions and answer options are the same as the survey_post_control_dryad file, except for one additional variable in the treatment dataset that is not in the control dataset: awareness.
- awareness: Survey question: In the past four weeks between October 23rd and November 22nd, SPIN offered you a special pricing option with a flat rate. Were you aware of that offer? Answer options: no = no; yes_not_used = Yes, I saw the notification/message, but I didn’t use the ride pass; yes_used = Yes, I used the flat rate ride pass
Missing values
Indicated by blank cell
Code/software
Data is saved as a CSV file, which is compatible across software.
No accompanying code/scripts are included.
Human subjects data
We received explicit consent from our participants to publish the de-identified data in the public domain before they took the survey. The consent statement to enter the survey read: “We will use your information to conduct this study. Data collected for this research may also be used for future research studies. We will not share any personally identifiable information. Our goal is to make more research possible. These studies may be done by researchers at this institution or other institutions, including commercial entities. Data may be placed in one or more external scientific databases for access and use. We will not ask you for additional permission to share de-identified information.”
We de-identified the data by removing all variables with PII; remaining variables are insufficient to identify any respondents.
We conducted the survey on Qualtrics. Our survey sample included users who were formally enrolled in the trial – assigned to either the treatment or control groups – as well as users who were not selected, serving as an equivalent control group. We adopted this broader inclusion strategy to mitigate concerns about limited sample size, particularly within the control group. SPIN distributed the survey via email on our behalf. To enhance response rates, we offered an incentive drawing of ten $60 gift cards.
The data was processed to remove any variables containing PII, remove observations with no answers given, and harmonize variable names. Two respondents started the survey twice; we identified these duplicates and kept the instance of survey response that was more complete.