DOI: 10.5061/dryad.83bk3jb6j
title: Post-trial survey data for shared micromobility pricing revealed preference experiment

description: 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.  
description: 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. 
description: # Post-trial survey data for shared micromobility pricing revealed
 preference experiment Dataset DOI:
 [10.5061/dryad.83bk3jb6j](https://doi.org/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.