R/data.R
In byu-transpolab/nhts2017: National Household Travel Survey 2017 Data
#' Public Household Records
#'
#' A dataset containing households records from the 2017 National household
#' travel survey.
#'
#'
#' @format A `tibble` with 129,696 rows and 58 variables:
#' - `houseid`: Household Identifier
#' - `travday`: Travel day - day of week
#' - `sampstrat`: Primary Sampling Stratum Assignment
#' - `homeown`: Home Ownership
#' - `hhsize`: Count of household members
#' - `hhvehcnt`: Count of household vehicles
#' - `hhfaminc`: Household income
#' - `pc`: Frequency of Desktop or Laptop Computer Use to Access the Internet
#' - `sphone`: Frequency of Smartphone Use to Access the Internet
#' - `tab`: Frequency of Tablet Use to Access the Internet
#' - `walk`: Frequency of Walking for Travel
#' - `bike`: Frequency of Bicycle Use for Travel
#' - `car`: Frequency of Personal Vehicle Use for Travel
#' - `taxi`: Frequency of Taxi Service or Rideshare Use for Travel
#' - `bus`: Frequency of Bus Use for Travel
#' - `train`: Frequency of Train Use for Travel
#' - `para`: Frequency of Paratransit Use for Travel
#' - `price`: Price of Gasoline Affects Travel
#' - `place`: Travel is a Financial Burden
#' - `walk2save`: Walk to Reduce Financial Burden of Travel
#' - `bike2save`: Bicycle to Reduce Financial Burden of Travel
#' - `ptrans`: Public Transportation to Reduce Financial Burden of Travel
#' - `hhrelatd`: At least two household persons are related
#' - `drvrcnt`: Number of drivers in household
#' - `cnttdhh`: Count of household trips on travel day
#' - `hhstate`: Household state
#' - `hhstfips`: State FIPS for household address
#' - `numadlt`: Count of adult household members at least 18 years old
#' - `youngchild`: Count of persons with an age between 0 and 4 in household
#' - `wrkcount`: Number of workers in household
#' - `tdaydate`: Date of travel day (YYYYMM)
#' - `hhresp`: Person identifier of household respondent
#' - `lif_cyc`: Life Cycle classification for the household, derived by attributes pertaining to age, relationship, and work status.
#' - `msacat`: Metropolitan Statistical Area (MSA) category for the household's home address, based on household's home geocode and TIGER/Line Shapefiles.
#' - `msasize`: Population size category of the Metropolitan Statistical Area (MSA), from the 2010-2014 five-year American Community Survey (ACS) API.
#' - `rail`: MSA heavy rail status for household
#' - `urban`: Household's urban area classification, based on home address and 2014 TIGER/Line Shapefile
#' - `urbansize`: Urban area size where home address is located
#' - `urbrur`: Household in urban/rural area
#' - `scresp`: Person identifier of mail screener respondent, always 1 to roster self first
#' - `census_d`: 2010 Census division classification for the respondent's home address
#' - `census_r`: Census region classification for home address
#' - `cdivmsar`: Grouping of household by combination of census division, MSA status, and presence of a subway system when population greater than 1 million
#' - `hh_race`: Race of household respondent
#' - `hh_hisp`: Hispanic status of household respondent
#' - `hh_cbsa`: Core Based Statistical Area (CBSA) FIPS code for the respondent's home address
#' - `resp_cnt`: Count of responding persons per household
#' - `webuse17`: Frequency of internet use
#' - `smplsrce`: Sample where the case originated
#' - `wthhfin`: Final HH weight
#' - `hbhur`: Urban / Rural indicator - Block group
#' - `hthtnrnt`: Category of the percent of renter-occupied housing in the census tract of the household's home location.
#' - `htppopdn`: Category of population density (persons per square mile) in the census tract of the household's home location.
#' - `htresdn`: Category of housing units per square mile in the census tract of the household's home location.
#' - `hteempdn`: Category of workers per square mile in the census tract of the household's home location.
#' - `hbhtnrnt`: Category of the percent of renter-occupied housing in the census block group of the household's home location.
#' - `hbppopdn`: Category of population density (persons per square mile) in the census block group of the household's home location.
#' - `hbresdn`: Category of housing units per square mile in the census block group of the household's home location.
#'
"nhts_households"
#' Public Person Records
#'
#' A dataset containing person records for
#'
#' @format A `tibble` with 264,234 rows and 87 variables:
#' - `houseid`: Household Identifier
#' - `personid`: Person Identifier
#' - `r_age`: Age
#' - `educ`: Educational Attainment
#' - `r_hisp`: Hispanic or Latino Origin
#' - `r_relat`: Relationship
#' - `r_sex`: Gender
#' - `r_race`: Race
#' - `prmact`: Primary Activity in Previous Week
#' - `payprof`: Work for Pay in Previous Week
#' - `gt1jblwk`: More than One Job
#' - `wrk_home`: Work from Home
#' - `wkftpt`: Full-Time or Part-Time Worker
#' - `wrktrans`: Mode to Work
#' - `lsttrday17`: Last trip before travel day
#' - `occat`: Job Category
#' - `schtyp`: Student Status
#' - `nwalktrp`: Count of Walk Trips
#' - `walk4ex`: Count of Walk Trips for Exercise
#' - `nbiketrp`: Count of Bike Trips
#' - `bike4ex`: Count of Bike Trips for Exercise
#' - `bikeshare`: Count of Bike Share Program Usage
#' - `ptused`: Count of Public Transit Usage
#' - `mcused`: Count of Motorcycle or Moped Trips
#' - `carshare`: Count of Car Share Program Usage
#' - `rideshare`: Count of Rideshare App Usage
#' - `carrode`: Count of People in Vehicle to Work
#' - `timetowk`: Trip Time to Work in Minutes
#' - `nocong`: Trip Time in Minutes to Work without Traffic
#' - `pubtime`: Minutes Spent Transferring to Work
#' - `wrktime`: Arrival Time at Work
#' - `wkrmhm`: Option of Working from Home
#' - `flextime`: Flex Time
#' - `wkfmhmxx`: Count of Days Worked From Home in Last Month
#' - `schtrn1`: Mode to School
#' - `schtrn2`: Mode from School
#' - `deliver`: Count of Times Purchased Online for Delivery in Last 30 Days
#' - `medcond`: Medical Condition
#' - `medcond6`: Medical Condition, How Long
#' - `health`: Opinion of Health
#' - `phyact`: Level of Physical Activity
#' - `vpact`: Count of Times of Vigorous Physical Activity in Past Week
#' - `lpact`: Count of Times of Light or Moderate Physical Activity in Past Week
#' - `borninus`: Born in United States
#' - `yrtous`: Year of Arrival in United States
#' - `yearmile`: Miles Personally Driven in all Vehicles
#' - `proxy`: Trip info from respondent or proxy
#' - `whoproxy`: Household Person Identifier Responsible for Trip Reporting
#' - `usepubtr`: Public Transit Usage on Travel Date, derived
#' - `sameplc`: Reason for No Trips
#' - `w_none`: Medical Device Used: None
#' - `w_cane`: Medical Device Used: Cane
#' - `w_wlkr`: Medical Device Used: Walker
#' - `w_whcane`: Medical Device Used: White Cane
#' - `w_dog`: Medical Device Used: Dog Assistance
#' - `w_crutch`: Medical Device Used: Crutches
#' - `w_scootr`: Medical Device Used: Motorized Scooter
#' - `w_chair`: Medical Device Used: Wheelchair
#' - `w_mtrchr`: Medical Device Used: Motorized Wheelchair
#' - `worker`: Worker status
#' - `diary`: Travel Diary completion status
#' - `outcntry`: Respondent was out of the country on travel day.
#' - `frsthm17`: Travel day began at home location
#' - `cnttdtr`: Count of person trips on travel day
#' - `gcdwork`: Minimum geodesic (Great Circle) distance between home location and work location in meters, using WGS84 coordinate system
#' - `wkstfips`: The state FIPS code for the respondent's geocoded work address. The state FIPS codes were identified using United States Census Bureau 2016 TIGER/Line Shapefiles.
#' - `driver`: Driver status, derived
#' - `outoftwn`: Away from home for entire travel day
#' - `disttowk17`: Road network distance, in miles, between respondent's home location and work location, sourced using Google Distance Matrix API (https://maps.googleapis.com/maps/api/distancematrix/)
#' - `disttosc17`: Road network distance, in miles, between respondent's home location and school location, sourced using Google Distance Matrix API (https://maps.googleapis.com/maps/api/distancematrix/)
#' - `r_age_imp`: Age (imputed)
#' - `r_sex_imp`: Gender (imputed)
#' - `alt_16`: Alternative Mode of Transportation: Public Transportation or Taxi
#' - `alt_23`: Alternative Mode of Transportation: Passenger to Friend/Family Member or Rental Car
#' - `alt_45`: Alternative Mode of Transportation: Bicycle or Walk
#' - `walk_def`: Reason for Not Walking More: Infrastructure
#' - `walk_gkq`: Reason for Not Walking More: Safety
#' - `bike_dfr`: Reason for Not Biking More: Infrastructure
#' - `bike_gkp`: Reason for Not Biking More: Safety
#' - `condtrav`: Medical Condition Results in Reduced Day-to-Day Travel
#' - `condride`: Medical Condition Results in Asking Others for Rides
#' - `condnigh`: Medical Condition Results in Limiting Driving to Daytime
#' - `condrive`: Medical Condition Results in Giving up Driving
#' - `condpub`: Medical Condition Results in Using Bus or Subway Less Frequently
#' - `condspec`: Medical Condition Results in Using Special Transportation Services
#' - `condtax`: Medical Condition Results in Using a Reduced Fare Taxi
#' - `wtperfin`: Final Person weight
#'
"nhts_persons"
#' Public Vehicle Records
#'
#' A dataset containing vehicle records from the 2017 National Household
#' Travel Survey
#'
#' @format A `tibble` with 256,115 rows and 20 variables:
#' - `houseid` :Household Identifier
#' - `vehid` :Vehicle Identifier
#' - `vehyear` :Vehicle Year
#' - `vehage` :Age of vehicle, based on model year
#' - `make` :Vehicle Make
#' - `model` :Vehicle Model
#' - `fueltype` :Fuel Type
#' - `vehtype` :Vehicle Type
#' - `whomain` :Vehicle Main Driver
#' - `od_read` :Odometer Reading
#' - `hfuel` :Type of Hybrid Vehicle
#' - `vehowned` :Owned Vehicle Longer than a Year
#' - `vehownmo` :Months of Vehicle Ownership
#' - `annmiles` :Self-reported annualized mile estimate
#' - `hybrid` :Hybrid vehicle
#' - `personid` :Person ID of Main Driver of this vehicle
#' - `bestmile` :Best estimate of annual miles
#' - `best_flg` :How BESTMILE was computed
#' - `best_edt` :Flag any edits/adjustments to BESTMILE
#' - `best_out` :Flag identifying BESTMILE outlier values
#'
"nhts_vehicles"
#' Public Trip Records
#'
#' A dataset containing trip records for
#'
#' @format A `tibble` with 923,572 rows and 82 variables:
#' - `houseid`: Household Identifier
#' - `personid`: Person Identifier
#' - `trvlcmin`: Trip Duration in Minutes
#' - `trpmiles`: Trip distance in miles, derived from route geometry returned by Google Maps API, or from reported loop-trip distance
#' - `trptrans`: Trip Mode, derived
#' - `trpaccmp`: Count of People on Trip
#' - `trphhacc`: Count of Household Members on Trip
#' - `vehid`: Household Vehicle Identifier Used on Trip
#' - `trwaittm`: Transit wait time in minutes
#' - `numtrans`: Count of Transfers
#' - `tracctm`: Trip Time to Transit Station in Minutes
#' - `drop_prk`: Parked or Dropped Off at Station
#' - `tregrtm`: Time to Destination from Transit in Minutes
#' - `whodrove`: Person Identifier Who Drove on Trip
#' - `whyfrom`: Trip Origin Purpose
#' - `loop_trip`: Trip origin and destination at identical location
#' - `trphhveh`: Household Vehicle Used on Trip
#' - `hhmemdrv`: Household member drove on trip
#' - `hh_ontd`: Number of household members on trip including respondent
#' - `nonhhcnt`: Number of non-household members on trip
#' - `numontrp`: Number of people on trip including respondent
#' - `psgr_flg`: Respondent was passenger on trip
#' - `pubtrans`: Public transportation used on trip
#' - `trippurp`: Generalized purpose of trip, home-based and non-home based
#' - `dweltime`: Time at destination
#' - `tdwknd`: Weekend trip
#' - `vmt_mile`: Trip distance in miles for personally driven vehicle trips, derived from route geometry returned by Google Maps API
#' - `drvr_flg`: Respondent drove on trip
#' - `whytrp1s`: Trip purpose summary
#' - `ontd_p1`: Household Person Identifier on Trip: 1
#' - `ontd_p2`: Household Person Identifier on Trip: 2
#' - `ontd_p3`: Household Person Identifier on Trip: 3
#' - `ontd_p4`: Household Person Identifier on Trip: 4
#' - `ontd_p5`: Household Person Identifier on Trip: 5
#' - `ontd_p6`: Household Person Identifier on Trip: 6
#' - `ontd_p7`: Household Person Identifier on Trip: 7
#' - `ontd_p8`: Household Person Identifier on Trip: 8
#' - `ontd_p9`: Household Person Identifier on Trip: 9
#' - `ontd_p10`: Household Person Identifier on Trip: 10
#' - `ontd_p11`: Household Person Identifier on Trip: 11
#' - `ontd_p12`: Household Person Identifier on Trip: 12
#' - `ontd_p13`: Household Person Identifier on Trip: 13
#' - `tdcaseid`: Unique identifier for every trip record in the file
#' - `tracc_wlk`: Walk as mode used to get to public transit?
#' - `tracc_pov`: POV as mode used to get to public transit?
#' - `tracc_bus`: Bus as mode used to get to public transit?
#' - `tracc_crl`: Rail as mode used to get to public transit?
#' - `tracc_sub`: Subway as mode used to get to public transit?
#' - `tracc_oth`: Other mode used to get to public transit?
#' - `tregr_wlk`: Walk as mode used to get from public transit?
#' - `tregr_pov`: POV as mode used to get from public transit?
#' - `tregr_bus`: Bus as mode used to get from public transit?
#' - `tregr_crl`: Rail as mode used to get from public transit?
#' - `tregr_sub`: Subway as mode used to get from public transit?
#' - `tregr_oth`: Other mode used to get from public transit?
#' - `whyto`: Trip Destination Purpose
#' - `gasprice`: Price of gasoline, in cents, on respondent's travel day
#' - `wttrdfin`: Final trip weight
#' - `whytrp90`: Travel day trip purpose consistent with 1990 NPTS design.
#'
"nhts_trips"
byu-transpolab/nhts2017 documentation built on Dec. 27, 2021, 9:54 a.m.
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#' Public Household Records
#'
#' A dataset containing households records from the 2017 National household
#' travel survey.
#'
#'
#' @format A `tibble` with 129,696 rows and 58 variables:
#' - `houseid`: Household Identifier
#' - `travday`: Travel day - day of week
#' - `sampstrat`: Primary Sampling Stratum Assignment
#' - `homeown`: Home Ownership
#' - `hhsize`: Count of household members
#' - `hhvehcnt`: Count of household vehicles
#' - `hhfaminc`: Household income
#' - `pc`: Frequency of Desktop or Laptop Computer Use to Access the Internet
#' - `sphone`: Frequency of Smartphone Use to Access the Internet
#' - `tab`: Frequency of Tablet Use to Access the Internet
#' - `walk`: Frequency of Walking for Travel
#' - `bike`: Frequency of Bicycle Use for Travel
#' - `car`: Frequency of Personal Vehicle Use for Travel
#' - `taxi`: Frequency of Taxi Service or Rideshare Use for Travel
#' - `bus`: Frequency of Bus Use for Travel
#' - `train`: Frequency of Train Use for Travel
#' - `para`: Frequency of Paratransit Use for Travel
#' - `price`: Price of Gasoline Affects Travel
#' - `place`: Travel is a Financial Burden
#' - `walk2save`: Walk to Reduce Financial Burden of Travel
#' - `bike2save`: Bicycle to Reduce Financial Burden of Travel
#' - `ptrans`: Public Transportation to Reduce Financial Burden of Travel
#' - `hhrelatd`: At least two household persons are related
#' - `drvrcnt`: Number of drivers in household
#' - `cnttdhh`: Count of household trips on travel day
#' - `hhstate`: Household state
#' - `hhstfips`: State FIPS for household address
#' - `numadlt`: Count of adult household members at least 18 years old
#' - `youngchild`: Count of persons with an age between 0 and 4 in household
#' - `wrkcount`: Number of workers in household
#' - `tdaydate`: Date of travel day (YYYYMM)
#' - `hhresp`: Person identifier of household respondent
#' - `lif_cyc`: Life Cycle classification for the household, derived by attributes pertaining to age, relationship, and work status.
#' - `msacat`: Metropolitan Statistical Area (MSA) category for the household's home address, based on household's home geocode and TIGER/Line Shapefiles.
#' - `msasize`: Population size category of the Metropolitan Statistical Area (MSA), from the 2010-2014 five-year American Community Survey (ACS) API.
#' - `rail`: MSA heavy rail status for household
#' - `urban`: Household's urban area classification, based on home address and 2014 TIGER/Line Shapefile
#' - `urbansize`: Urban area size where home address is located
#' - `urbrur`: Household in urban/rural area
#' - `scresp`: Person identifier of mail screener respondent, always 1 to roster self first
#' - `census_d`: 2010 Census division classification for the respondent's home address
#' - `census_r`: Census region classification for home address
#' - `cdivmsar`: Grouping of household by combination of census division, MSA status, and presence of a subway system when population greater than 1 million
#' - `hh_race`: Race of household respondent
#' - `hh_hisp`: Hispanic status of household respondent
#' - `hh_cbsa`: Core Based Statistical Area (CBSA) FIPS code for the respondent's home address
#' - `resp_cnt`: Count of responding persons per household
#' - `webuse17`: Frequency of internet use
#' - `smplsrce`: Sample where the case originated
#' - `wthhfin`: Final HH weight
#' - `hbhur`: Urban / Rural indicator - Block group
#' - `hthtnrnt`: Category of the percent of renter-occupied housing in the census tract of the household's home location.
#' - `htppopdn`: Category of population density (persons per square mile) in the census tract of the household's home location.
#' - `htresdn`: Category of housing units per square mile in the census tract of the household's home location.
#' - `hteempdn`: Category of workers per square mile in the census tract of the household's home location.
#' - `hbhtnrnt`: Category of the percent of renter-occupied housing in the census block group of the household's home location.
#' - `hbppopdn`: Category of population density (persons per square mile) in the census block group of the household's home location.
#' - `hbresdn`: Category of housing units per square mile in the census block group of the household's home location.
#'
"nhts_households"
#' Public Person Records
#'
#' A dataset containing person records for
#'
#' @format A `tibble` with 264,234 rows and 87 variables:
#' - `houseid`: Household Identifier
#' - `personid`: Person Identifier
#' - `r_age`: Age
#' - `educ`: Educational Attainment
#' - `r_hisp`: Hispanic or Latino Origin
#' - `r_relat`: Relationship
#' - `r_sex`: Gender
#' - `r_race`: Race
#' - `prmact`: Primary Activity in Previous Week
#' - `payprof`: Work for Pay in Previous Week
#' - `gt1jblwk`: More than One Job
#' - `wrk_home`: Work from Home
#' - `wkftpt`: Full-Time or Part-Time Worker
#' - `wrktrans`: Mode to Work
#' - `lsttrday17`: Last trip before travel day
#' - `occat`: Job Category
#' - `schtyp`: Student Status
#' - `nwalktrp`: Count of Walk Trips
#' - `walk4ex`: Count of Walk Trips for Exercise
#' - `nbiketrp`: Count of Bike Trips
#' - `bike4ex`: Count of Bike Trips for Exercise
#' - `bikeshare`: Count of Bike Share Program Usage
#' - `ptused`: Count of Public Transit Usage
#' - `mcused`: Count of Motorcycle or Moped Trips
#' - `carshare`: Count of Car Share Program Usage
#' - `rideshare`: Count of Rideshare App Usage
#' - `carrode`: Count of People in Vehicle to Work
#' - `timetowk`: Trip Time to Work in Minutes
#' - `nocong`: Trip Time in Minutes to Work without Traffic
#' - `pubtime`: Minutes Spent Transferring to Work
#' - `wrktime`: Arrival Time at Work
#' - `wkrmhm`: Option of Working from Home
#' - `flextime`: Flex Time
#' - `wkfmhmxx`: Count of Days Worked From Home in Last Month
#' - `schtrn1`: Mode to School
#' - `schtrn2`: Mode from School
#' - `deliver`: Count of Times Purchased Online for Delivery in Last 30 Days
#' - `medcond`: Medical Condition
#' - `medcond6`: Medical Condition, How Long
#' - `health`: Opinion of Health
#' - `phyact`: Level of Physical Activity
#' - `vpact`: Count of Times of Vigorous Physical Activity in Past Week
#' - `lpact`: Count of Times of Light or Moderate Physical Activity in Past Week
#' - `borninus`: Born in United States
#' - `yrtous`: Year of Arrival in United States
#' - `yearmile`: Miles Personally Driven in all Vehicles
#' - `proxy`: Trip info from respondent or proxy
#' - `whoproxy`: Household Person Identifier Responsible for Trip Reporting
#' - `usepubtr`: Public Transit Usage on Travel Date, derived
#' - `sameplc`: Reason for No Trips
#' - `w_none`: Medical Device Used: None
#' - `w_cane`: Medical Device Used: Cane
#' - `w_wlkr`: Medical Device Used: Walker
#' - `w_whcane`: Medical Device Used: White Cane
#' - `w_dog`: Medical Device Used: Dog Assistance
#' - `w_crutch`: Medical Device Used: Crutches
#' - `w_scootr`: Medical Device Used: Motorized Scooter
#' - `w_chair`: Medical Device Used: Wheelchair
#' - `w_mtrchr`: Medical Device Used: Motorized Wheelchair
#' - `worker`: Worker status
#' - `diary`: Travel Diary completion status
#' - `outcntry`: Respondent was out of the country on travel day.
#' - `frsthm17`: Travel day began at home location
#' - `cnttdtr`: Count of person trips on travel day
#' - `gcdwork`: Minimum geodesic (Great Circle) distance between home location and work location in meters, using WGS84 coordinate system
#' - `wkstfips`: The state FIPS code for the respondent's geocoded work address. The state FIPS codes were identified using United States Census Bureau 2016 TIGER/Line Shapefiles.
#' - `driver`: Driver status, derived
#' - `outoftwn`: Away from home for entire travel day
#' - `disttowk17`: Road network distance, in miles, between respondent's home location and work location, sourced using Google Distance Matrix API (https://maps.googleapis.com/maps/api/distancematrix/)
#' - `disttosc17`: Road network distance, in miles, between respondent's home location and school location, sourced using Google Distance Matrix API (https://maps.googleapis.com/maps/api/distancematrix/)
#' - `r_age_imp`: Age (imputed)
#' - `r_sex_imp`: Gender (imputed)
#' - `alt_16`: Alternative Mode of Transportation: Public Transportation or Taxi
#' - `alt_23`: Alternative Mode of Transportation: Passenger to Friend/Family Member or Rental Car
#' - `alt_45`: Alternative Mode of Transportation: Bicycle or Walk
#' - `walk_def`: Reason for Not Walking More: Infrastructure
#' - `walk_gkq`: Reason for Not Walking More: Safety
#' - `bike_dfr`: Reason for Not Biking More: Infrastructure
#' - `bike_gkp`: Reason for Not Biking More: Safety
#' - `condtrav`: Medical Condition Results in Reduced Day-to-Day Travel
#' - `condride`: Medical Condition Results in Asking Others for Rides
#' - `condnigh`: Medical Condition Results in Limiting Driving to Daytime
#' - `condrive`: Medical Condition Results in Giving up Driving
#' - `condpub`: Medical Condition Results in Using Bus or Subway Less Frequently
#' - `condspec`: Medical Condition Results in Using Special Transportation Services
#' - `condtax`: Medical Condition Results in Using a Reduced Fare Taxi
#' - `wtperfin`: Final Person weight
#'
"nhts_persons"
#' Public Vehicle Records
#'
#' A dataset containing vehicle records from the 2017 National Household
#' Travel Survey
#'
#' @format A `tibble` with 256,115 rows and 20 variables:
#' - `houseid` :Household Identifier
#' - `vehid` :Vehicle Identifier
#' - `vehyear` :Vehicle Year
#' - `vehage` :Age of vehicle, based on model year
#' - `make` :Vehicle Make
#' - `model` :Vehicle Model
#' - `fueltype` :Fuel Type
#' - `vehtype` :Vehicle Type
#' - `whomain` :Vehicle Main Driver
#' - `od_read` :Odometer Reading
#' - `hfuel` :Type of Hybrid Vehicle
#' - `vehowned` :Owned Vehicle Longer than a Year
#' - `vehownmo` :Months of Vehicle Ownership
#' - `annmiles` :Self-reported annualized mile estimate
#' - `hybrid` :Hybrid vehicle
#' - `personid` :Person ID of Main Driver of this vehicle
#' - `bestmile` :Best estimate of annual miles
#' - `best_flg` :How BESTMILE was computed
#' - `best_edt` :Flag any edits/adjustments to BESTMILE
#' - `best_out` :Flag identifying BESTMILE outlier values
#'
"nhts_vehicles"
#' Public Trip Records
#'
#' A dataset containing trip records for
#'
#' @format A `tibble` with 923,572 rows and 82 variables:
#' - `houseid`: Household Identifier
#' - `personid`: Person Identifier
#' - `trvlcmin`: Trip Duration in Minutes
#' - `trpmiles`: Trip distance in miles, derived from route geometry returned by Google Maps API, or from reported loop-trip distance
#' - `trptrans`: Trip Mode, derived
#' - `trpaccmp`: Count of People on Trip
#' - `trphhacc`: Count of Household Members on Trip
#' - `vehid`: Household Vehicle Identifier Used on Trip
#' - `trwaittm`: Transit wait time in minutes
#' - `numtrans`: Count of Transfers
#' - `tracctm`: Trip Time to Transit Station in Minutes
#' - `drop_prk`: Parked or Dropped Off at Station
#' - `tregrtm`: Time to Destination from Transit in Minutes
#' - `whodrove`: Person Identifier Who Drove on Trip
#' - `whyfrom`: Trip Origin Purpose
#' - `loop_trip`: Trip origin and destination at identical location
#' - `trphhveh`: Household Vehicle Used on Trip
#' - `hhmemdrv`: Household member drove on trip
#' - `hh_ontd`: Number of household members on trip including respondent
#' - `nonhhcnt`: Number of non-household members on trip
#' - `numontrp`: Number of people on trip including respondent
#' - `psgr_flg`: Respondent was passenger on trip
#' - `pubtrans`: Public transportation used on trip
#' - `trippurp`: Generalized purpose of trip, home-based and non-home based
#' - `dweltime`: Time at destination
#' - `tdwknd`: Weekend trip
#' - `vmt_mile`: Trip distance in miles for personally driven vehicle trips, derived from route geometry returned by Google Maps API
#' - `drvr_flg`: Respondent drove on trip
#' - `whytrp1s`: Trip purpose summary
#' - `ontd_p1`: Household Person Identifier on Trip: 1
#' - `ontd_p2`: Household Person Identifier on Trip: 2
#' - `ontd_p3`: Household Person Identifier on Trip: 3
#' - `ontd_p4`: Household Person Identifier on Trip: 4
#' - `ontd_p5`: Household Person Identifier on Trip: 5
#' - `ontd_p6`: Household Person Identifier on Trip: 6
#' - `ontd_p7`: Household Person Identifier on Trip: 7
#' - `ontd_p8`: Household Person Identifier on Trip: 8
#' - `ontd_p9`: Household Person Identifier on Trip: 9
#' - `ontd_p10`: Household Person Identifier on Trip: 10
#' - `ontd_p11`: Household Person Identifier on Trip: 11
#' - `ontd_p12`: Household Person Identifier on Trip: 12
#' - `ontd_p13`: Household Person Identifier on Trip: 13
#' - `tdcaseid`: Unique identifier for every trip record in the file
#' - `tracc_wlk`: Walk as mode used to get to public transit?
#' - `tracc_pov`: POV as mode used to get to public transit?
#' - `tracc_bus`: Bus as mode used to get to public transit?
#' - `tracc_crl`: Rail as mode used to get to public transit?
#' - `tracc_sub`: Subway as mode used to get to public transit?
#' - `tracc_oth`: Other mode used to get to public transit?
#' - `tregr_wlk`: Walk as mode used to get from public transit?
#' - `tregr_pov`: POV as mode used to get from public transit?
#' - `tregr_bus`: Bus as mode used to get from public transit?
#' - `tregr_crl`: Rail as mode used to get from public transit?
#' - `tregr_sub`: Subway as mode used to get from public transit?
#' - `tregr_oth`: Other mode used to get from public transit?
#' - `whyto`: Trip Destination Purpose
#' - `gasprice`: Price of gasoline, in cents, on respondent's travel day
#' - `wttrdfin`: Final trip weight
#' - `whytrp90`: Travel day trip purpose consistent with 1990 NPTS design.
#'
"nhts_trips"
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