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A data frame with information about the build environment near the place of residence of respondents to the survey

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

A dataset containing information about Built environment near the users of active and motorized modes of transportation in Santiago sourced from 2016 survey.

Usage

data(Santiago_BE)

Format

An object of class tbl_df (inherits from tbl, data.frame) with 451 rows and 23 columns.

Source

A face to face survey considering pre-census 2012

Details

@format A data frame with 451 rows and 22 variables:

ID

Unique identifier of respondent

BE_Autospace

How do respondents evaluate the following aspects near their home? Space for cars; this variable is an ordered factor with five levels, "POOR", "FAIR", "GOOD", "VERY GOOD", "EXCELLENT"

BE_Parking_num

How do respondents evaluate the following aspects near their home? Amount of parking spaces; this variable is an ordered factor with five levels, "POOR", "FAIR", "GOOD", "VERY GOOD", "EXCELLENT"

BE_Quality_highway

How do respondents evaluate the following aspects near their home? Quality of highways; this variable is an ordered factor with five levels, "POOR", "FAIR", "GOOD", "VERY GOOD", "EXCELLENT"

BE_Space_pedestrian

How do respondents evaluate the following aspects near their home? Space for pedestrians; this variable is an ordered factor with five levels, "POOR", "FAIR", "GOOD", "VERY GOOD", "EXCELLENT"

BE_Quality_sidewalk

How do respondents evaluate the following aspects near their home? Quality of sidewalks; this variable is an ordered factor with five levels, "POOR", "FAIR", "GOOD", "VERY GOOD", "EXCELLENT"

BE_Clean_busstop

How do respondents evaluate the following aspects near their home? Cleanliness of bus stops; this variable is an ordered factor with five levels, "POOR", "FAIR", "GOOD", "VERY GOOD", "EXCELLENT"

BE_Seat_busstop

How do respondents evaluate the following aspects near their home? Sitting areas in bus stops; this variable is an ordered factor with five levels, "POOR", "FAIR", "GOOD", "VERY GOOD", "EXCELLENT"

BE_Climateprotection_busstop

How do respondents evaluate the following aspects near their home? Weather protection in bus stops; this variable is an ordered factor with five levels, "POOR", "FAIR", "GOOD", "VERY GOOD", "EXCELLENT"

BE_cycloway_num

How do respondents evaluate the following aspects near their home? Amount of cycleways; this variable is an ordered factor with five levels, "POOR", "FAIR", "GOOD", "VERY GOOD", "EXCELLENT"

BE_Quality_cycloway

How do respondents evaluate the following aspects near their home? Quality of cycleways; this variable is an ordered factor with five levels, "POOR", "FAIR", "GOOD", "VERY GOOD", "EXCELLENT"

BE_Bikeshare

How do respondents evaluate the following aspects near their home? Bike sharing schemes; this variable is an ordered factor with five levels, "POOR", "FAIR", "GOOD", "VERY GOOD", "EXCELLENT"

BE_Imp_Autospace

How do respondents rate the level of importance of: Space for cars; this variable is an ordered factor with five levels, "NOT IMPORTANT", "SLIGHTLY IMPORTANT", "MODERATELY IMPORTANT", "IMPORTANT", "VERY IMPORTANT"

BE_Imp_Parking_num

How do respondents rate the leve of importance of: Amount of parking spaces; this variable is an ordered factor with five levels, "NOT IMPORTANT", "SLIGHTLY IMPORTANT", "MODERATELY IMPORTANT", "IMPORTANT", "VERY IMPORTANT"

BE_Imp_Quality_highway

How do respondents rate the leve of importance of: Quality of highways; this variable is an ordered factor with five levels, "NOT IMPORTANT", "SLIGHTLY IMPORTANT", "MODERATELY IMPORTANT", "IMPORTANT", "VERY IMPORTANT"

BE_Imp_Space_pedestrian

How do respondents rate the leve of importance of: Space for pedestrians; this variable is an ordered factor with five levels, "NOT IMPORTANT", "SLIGHTLY IMPORTANT", "MODERATELY IMPORTANT", "IMPORTANT", "VERY IMPORTANT"

BE_Imp_Quality_sidewalk

How do respondents rate the leve of importance of: Quality of sidewalks; this variable is an ordered factor with five levels, "NOT IMPORTANT", "SLIGHTLY IMPORTANT", "MODERATELY IMPORTANT", "IMPORTANT", "VERY IMPORTANT"

BE_Imp_Clean_busstop

How do respondents rate the leve of importance of: Cleanliness of bus stops; this variable is an ordered factor with five levels, "NOT IMPORTANT", "SLIGHTLY IMPORTANT", "MODERATELY IMPORTANT", "IMPORTANT", "VERY IMPORTANT"

BE_Imp_Seat_busstop

How do respondents rate the leve of importance of: Sitting areas in bus stops; this variable is an ordered factor with five levels, "NOT IMPORTANT", "SLIGHTLY IMPORTANT", "MODERATELY IMPORTANT", "IMPORTANT", "VERY IMPORTANT"

BE_Imp_Climateprotection_busstop

How do respondents rate the leve of importance of: Weather protection in bus stops; this variable is an ordered factor with five levels, "NOT IMPORTANT", "SLIGHTLY IMPORTANT", "MODERATELY IMPORTANT", "IMPORTANT", "VERY IMPORTANT"

BE_Imp_cycloway_num

How do respondents rate the leve of importance of: Amount of cycleways; this variable is an ordered factor with five levels, "NOT IMPORTANT", "SLIGHTLY IMPORTANT", "MODERATELY IMPORTANT", "IMPORTANT", "VERY IMPORTANT"

BE_Imp_Quality_cycloway

How do respondents rate the leve of importance of: Quality of cycleways; this variable is an ordered factor with five levels, "NOT IMPORTANT", "SLIGHTLY IMPORTANT", "MODERATELY IMPORTANT", "IMPORTANT", "VERY IMPORTANT"

BE_Imp_Bikeshare

How do respondents rate the leve of importance of: Bike sharing schemes; this variable is an ordered factor with five levels, "NOT IMPORTANT", "SLIGHTLY IMPORTANT", "MODERATELY IMPORTANT", "IMPORTANT", "VERY IMPORTANT"

Examples

 data(Santiago_BE)
 r7AA_AUTOSPACE <- Santiago_BE$r7AA_AUTOSPACE
#> Warning: Unknown or uninitialised column: `r7AA_AUTOSPACE`.