A delimited text file containing information about students commuting to McMaster University. Data were collected by means of a travel survey in the fall of 2010. Respondents were asked about their mode of travel to McMaster University, in Hamilton, Canada. They were also asked about the modes available to them. The characteristics of the trips were self-reported or imputed. The data set also contains relevant attributes about the respondents. The format of the table is long, with each row representing a choice situation.
Usage
data(mc_commute_long)
Format
An comma separated text file :
- RespondentID
Unique identifier for respondents
- choice
numeric variable indicating modes of transportation: (1) Cycle, (2) Walk, (3) HSR (local transit), (4) Car
- avcycle
Indicator variable for availability of cycling: (1) Yes, (0) No
- avwalk
Indicator variable for availability of walking: (1) Yes, (0) No
- avhsr
Indicator variable for availability of HSR: (1) Yes, (0) No
- avcar
Indicator variable for availability of car: (1) Yes, (0) No
- timecycle
Travel time by cycling in minutes (when mode not available coded as 100000)
- timewalk
Travel time by walking in minutes (when mode not available coded as 100000)
- accesshsr
Access time to HSR in minutes
- waitingtimehsr
Waiting time when travelling by HSR in minutes
- transfer
Number of transit transfers
- timecar
Travel time by car in minutes (when mode not available coded as 100000)
- parking
Indicator variable for holding a university parking permit: (1) Yes, (0) No
- vehind
Indicator variable for having individual access to a private car (i.e., car not shared with other household members): (1) Yes, (0) No
- owncycle
Indicator variable for owning a bicycle: (1) Yes, (0) No
- gender
Indicator variable for gender: (1) Woman, (0) Man
- age
Age in years
- solo
Indicator variable for living in solo accommodations: (1) Yes, (0) No
- shared
Indicator variable for a student living in a rental property with other students, i.e., shared accommodations: (1) Yes, (0) No
- family
Indicator variable for living in family home: (1) Yes, (0) No
- child
Indicator variable for presence of dependent minors in household: (1) Yes, (0) No
- primary_caregiver
Indicator variable for being the primary caregiver of dependent minors in household: (1) Yes, (0) No, (100000) No dependent minors in household
- LAT
Latitude of the place or residence, geocoded at the nearest major intersection or centroid of 6-digit postal area
- LONG
Longitude of the place or residence, geocoded at the nearest major intersection or centroid of 6-digit postal area
- DAUID
Unique ID of the dissemination area of place of residence according to the 2006 census of Canada
- mhi
Median household income of the dissemination area of place of residence according to the 2006 census of Canada
- dwell_den
Dwelling density in the dissemination area of the place of residence in $1/km^2$
- lum
Entropy of the land use mix
- st_den
Street density in the dissemination area of the place of residence in $km/km^2$
- inter_den
Intersection density in the dissemination area of the place of residence in $1/km^2$
- SF_P_ratio
Ratio of surface of plots to built area
- side_density
Sidewalk density in the dissemination area of the place of residence in $km/km^2$
- Shelters_SD
Response to statement "Shelters and other public transportation facilities that I commonly use are of good quality": 1 if Strongly Disagree, 0 otherwise
- Shelters_D
Response to statement "Shelters and other public transportation facilities that I commonly use are of good quality": 1 if Disagree, 0 otherwise
- Shelters_A
Response to statement "Shelters and other public transportation facilities that I commonly use are of good quality": 1 if Agree, 0 otherwise
- Shelters_SA
Response to statement "Shelters and other public transportation facilities that I commonly use are of good quality": 1 if Strongly Agree, 0 otherwise
Source
Whalen, K. E., P\'aez, A., & Carrasco, J. A. (2013). Mode choice of university students commuting to school and the role of active travel. Journal of Transport Geography, 31, 132-142. (https://doi.org/10.1016/j.jtrangeo.2013.06.008)
Examples
library(readr)
mc_commute <- read_csv(system.file("extdata", "mc_commute.csv", package = "discrtr"))
#> Rows: 1376 Columns: 39
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> dbl (39): RespondentID, choice, avcycle, avwalk, avhsr, avcar, timecycle, ti...
#>
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.