tripaccess: Tripaccess data
In tripaccess: American Travel Behavior and Access Datasets

tripaccess

R Documentation

Tripaccess data

Description

Include disability and other demographic as well as mobility and trip categorical and numeric variables for data visualization and single table analysis.

Usage

tripaccess

Format

A data frame with 86521 rows (each row is a person) and 41 columns

household_id: Household identifier.
person_id: Person identifier.
travel_disability: How long does the respondent have a medical condition that makes it difficult to travel outside of home?
sex: Sex of the respondent.
race: Race of the respondent.
hispanic_ethnicity: Hispanic or Latino origin.
nativity: Born in United States.
age: Age of the respondent.
education: Educational attainment.
self_rated_health: Opinion of health.
employment_status: Primary activity in previous week.
household_income: Household income of the respondent.
household_structure: Count of household members.
population_density: Category of population density (persons per square mile) in the census block group of the households home location.
urban_rural: Household in urban or rural area.
state: Household state.
driver_status: Driver status.
cane: Does the respondent use a cane to aid their travel?
manual_wheelchair: Does the respondent use a manual wheelchair to aid their travel?
crutches: Does the respondent use a crutch to aid their travel?
dog: Does the respondent use a dog to aid their travel?
motorized_wheelchair: Does the respondent use a motorized wheelchair to aid their travel?
scooter: Does the respondent use a scooter to aid their travel?
white_cane: Does the respondent use a white cane to aid their travel?
walker: Does the respondent use a walker to aid their travel?
other_accommodation: Does the respondent use any other accommodation rather than those listed?
yearly_miles_personally_driven: Miles personally drive in all vehicles.
count_of_public_transit_usage: Count of public transit usage in last month.
count_of_rideshare_app_usage: Count of rideshare app usage in last month.
count_of_bike_trips: Count of bike trips in past week.
count_of_walk_trips: Count of walk trips in past week.
count_of_online_delivery: Count of times purchased online for delivery in last 30 days.
avg_num_of_people_on_trip: Average number of people on the respondent's trip including the respondent on the respondent's travel day. A travel day is a 24 hour day that starts at 4 am (local time) of the assigned travel day and ends at 3:59 am of the following day. The NHTS randomly assigns the travel days for one-seventh of the sample addresses to each day of the week and the remaining six-sevenths of the households to evenly across weekdays (Monday to Friday). The following variables are related to trip information on travel day.
avg_trip_distance_in_miles: Average trip distance in miles on the respondent's travel day.
avg_trip_duration_in_minutes: Average trip duration in minutes on the respondent's travel day.
shopping_trip: Whether having shopping trips on the respondent's travel day.
social_recreational_trip: Whether having social or recreational trips on the respondent's travel day.
other_home_based_trip: Whether having other home-based trips on the respondent's travel day.
work_trip: Whether having work trips on the respondent's travel day.
other_non_home_based_trip: Whether having other non home-based trips on the respondent's travel day.
person_weight: Person weights that can be used for person-level estimates of non-household and non-travel day items of interest, for example workers by gender, drivers by annual miles estimated, etc.

Source

https://nhts.ornl.gov/

Examples

if (require("tidyverse")) {
# Filtered to people who have a travel disability
tripaccess_disabled <- tripaccess |>
  filter(travel_disability != "No_disability")

# Summary statistics of public transit usage by disabled people who use a walker
tripaccess_disabled |>
  filter(walker == "True") |>
  group_by(travel_disability) |>
  summarize(public_transit_usage_median = median(count_of_public_transit_usage),
  public_transit_usage_mean = mean(count_of_public_transit_usage),
  public_transit_usage_sd = sd(count_of_public_transit_usage))
}

tripaccess documentation built on Aug. 29, 2026, 1:07 a.m.