Designing resilient bicycle paths in Puno, Peru: Combating urban CO2 emissions with GIS analysis

Nihol J.; Inchuña B.; Rojas L.C.C.; Mamani G.M. · International Journal of Advanced and Applied Sciences (2024) · DOI: 10.21833/ijaas.2024.05.010

Resumen

This study watched over the amount of CO2 gas that cars and other vehicles put into the air in Puno, Peru. The goal was to create a plan for bike paths that can last through tough conditions. These paths would lead to places where people can relax and have fun and also focus on the parts of the city with the most CO2 pollution. This was done using a tool called Geographic Information Systems (GIS). The researchers figured out how much CO2 was in the different areas of the city, pointing out places with a lot of CO2. They also looked at how easy it is to get to places where people go for fun (called Affluence of Recreational Spaces or ARS) and used maps to show how CO2 levels and ARS relate to each other. They measured CO2 using a method called Kernel density in a program called QGIS. To find out about ARS, they asked 350 people questions in person and online using Google Forms, with answers based on a rating scale. This study was done after the COVID-19 pandemic in 2022. The researchers put all their information into a GIS system using map math and checking how everything connects. Their findings showed that places with more CO2 and ARS were linked. The city had a lot of CO2 - 615.76 parts per million (ppm), which is 76% more than what is considered natural. They found nine main spots in the city with the most CO2, the highest being 713.49 ppm. They also identified six spots that were most popular for fun activities. By looking at both CO2 and ARS spots, they made a plan for bike paths totaling 8,849 meters. These paths would link to the main fun places in Puno.

Instituciones: Universidad Nacional del Altiplano