Relación entre estratificación socioeconómica y exposición al material particulado (PM10 y PM2.5) en el área urbana de Botogá (Colombia)

(English) Environmental inequality metrics require complex analyses between social, economic and environmental variables at different scales. The current research develops metrics within this framework to determine correlations between socio-environmental position and air quality in highly densified...

Full description

Bibliographic Details
Author: Cortés Duarte, María Carolina|||0009-0006-1587-3869
Format: doctoral thesis
Publication Date:2023
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:Spanish
OAI Identifier:oai:upcommons.upc.edu:2117/405574
Online Access:https://hdl.handle.net/2117/405574
https://dx.doi.org/10.5821/dissertation-2117-405574
Access Level:Open access
Keyword:Àrees temàtiques de la UPC::Desenvolupament humà i sostenible
Description
Summary:(English) Environmental inequality metrics require complex analyses between social, economic and environmental variables at different scales. The current research develops metrics within this framework to determine correlations between socio-environmental position and air quality in highly densified areas, focusing on the urban environment of the city of Bogota, Colombia (South America). In addition to the variables related to public health, there are other variables that have also been proposed to measure environmental inequality, such as population density by UPZ, population of working age, health institutions, active pensioners, per capita income, companies created, demography of the victim population by locality, food voucher, total enrollment in official schools and finally, rate of school dropout in official schools, increasing the contributions to the concept of environmental justice framework. . During the research, tools were provided to build a methodological proposal that promotes the well-being and life quality of Bogota residents, integrating socio-environmental factors to the current socioeconomic status, among them, exposure to particulate matter.