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A data frame with information about the health of respondents to the survey

Source: R/bSantiago-package.R
Santiago_H.Rd

A dataset containing Health information of users of active and motorized modes of transportation in Santiago sourced from 2016 survey.

Usage

data(Santiago_H)

Format

An object of class tbl_df (inherits from tbl, data.frame) with 451 rows and 13 columns.

Source

A face to face survey considering pre-census 2012

Details

@format A data frame with 451 rows and 12 variables:

ID

Unique identifier of respondent

H_Stress

How do respondents assess the level of stress they experience on their usual trips?; this variable is an ordered factor with five levels, "VLOW", "LOW", "MODERATE", "HIGH", "VHIGH"

H_Effort

How do respondents assess the physical effort they make in their travels?; this variable is an ordered factor with five levels, "VNEGATIVE", "NEGATIVE", "NEUTRAL", "POSITIVE", "VPOSITVE"

H_Proximity

How do respondents assess their level of proximity (proximity) to other transport users on their usual trips?; this variable is an ordered factor with five levels, "POOR", "FAIR", "GOOD", "VERY GOOD", "EXCELLENT"

H_Contam

How do respondents assess the level of environmental pollution they experience on their usual trips?; this variable is an ordered factor with five levels, "VDISSATISFIED", "DISSATISFIED", "UNSURE", "SATISFIED", "VSATTISFIED"

H_Safety

How do respondents assess the level of safety (not being assaulted or harassed) that they experience on their usual trips?; this variable is an ordered factor with five levels, "VDISSATISFIED", "DISSATISFIED", "UNSURE", "SATISFIED", "VSATTISFIED"

H_Comfort

How do respondents assess the level of comfort they experience on their usual trips?; this variable is an ordered factor with five levels, "VDISSATISFIED", "DISSATISFIED", "UNSURE", "SATISFIED", "VSATTISFIED"

H_Imp_stress

What is the importance respondents assign to these aspects? Levels of stress; this variable is an ordered factor with five levels, "NOT IMPORTANT", "SLIGHTLY IMPORTANT", "MODERATELY IMPORTANT", "IMPORTANT", "VERY IMPORTANT"

H_Imp_effort

What is the importance respondents assign to these aspects? Levels of physical effort; this variable is an ordered factor with five levels, "NOT IMPORTANT", "SLIGHTLY IMPORTANT", "MODERATELY IMPORTANT", "IMPORTANT", "VERY IMPORTANT"

H_Imp_prox

What is the importance respondents assign to these aspects? Levels of proximity to other transport users; this variable is an ordered factor with five levels, "NOT IMPORTANT", "SLIGHTLY IMPORTANT", "MODERATELY IMPORTANT", "IMPORTANT", "VERY IMPORTANT"

H_Imp_contam

What is the importance respondents assign to these aspects? Levels of (perceived) air pollution; this variable is an ordered factor with five levels, "NOT IMPORTANT", "SLIGHTLY IMPORTANT", "MODERATELY IMPORTANT", "IMPORTANT", "VERY IMPORTANT"

H_Imp_safety

What is the importance respondents assign to these aspects? Levels of safety; this variable is an ordered factor with five levels, "NOT IMPORTANT", "SLIGHTLY IMPORTANT", "MODERATELY IMPORTANT", "IMPORTANT", "VERY IMPORTANT"

H_Imp_comfort

What is the importance respondents assign to these aspects? Levels of comfort; this variable is an ordered factor with five levels, "NOT IMPORTANT", "SLIGHTLY IMPORTANT", "MODERATELY IMPORTANT", "IMPORTANT", "VERY IMPORTANT"

Examples

 data(Santiago_H)
 r1A_STRESS <- Santiago_H$r1A_STRESS
#> Warning: Unknown or uninitialised column: `r1A_STRESS`.