Calculate transport poverty indices

Step by step tutorials

Example 1. How to calculate specific transport poverty index for a selected year

1. Define the year (eg. 2019) and the energy poverty index (eg. LIHC) in calc_tp

file <- calc_tp(year = 2019,        # Select the year
                index = "LIHC")     # Select the index or a vector: c("LIHC", "VTU")

2. Define the directory to save the outputs

setwd(path)   # Indicate the path to save the outputs

3. Save the output dataframe in excel

write.xlsx(file,                         # Indicate the dataframe created in step 1
           "File_name.xlsx",             # Indicate the file name of the excel to be saved
           sheetName = "sheet_name",     # Indicate the sheet name
           ...)

Example 2. How to calculate all transport poverty indices for a time series

1. Define the time series

time_series <- seq(2006,2021,1)

2. Calculate transport poverty indices for the defined time series

file <- calc_tp(year = time_series,      # Select the vector with the selected years
                index = "all")           # Select all indices (by default)

3. Define the directory to save the outputs

setwd(path)   # Indicate the path to save the outputs

4. Save the output dataframe in excel

write.xlsx(file,                         # File name or full file path
           "File_name.xlsx",             # Indicate the file name of the excel to be saved
           sheetName = "sheet_name",     # Indicate the sheet name
           ...)