International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12

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 Volume 11, Issue 5 (May 2024), Pages: 96-102

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 Original Research Paper

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

 Author(s): 

 Juan Nihol Bravo Inchuña, Luz Clara Calisaya Rojas *, Grover Marin Mamani

 Affiliation(s):

 Academic Department of Architecture and Urbanism, Faculty of Civil Engineering and Architecture, Universidad Nacional del Altiplano de Puno, Puno, Peru

 Full text

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0009-0009-1388-1058

 Digital Object Identifier (DOI)

 https://doi.org/10.21833/ijaas.2024.05.010

 Abstract

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.

 © 2024 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords

 CO₂ emissions, Bicycle paths, Geographic information systems, Urban pollution

 Article history

 Received 14 October 2023, Received in revised form 27 March 2024, Accepted 29 April 2024

 Acknowledgment 

No Acknowledgment.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Inchuña JNB, Calisaya Rojas LC, and Mamani GM (2024). Designing resilient bicycle paths in Puno, Peru: Combating urban CO₂ emissions with GIS analysis. International Journal of Advanced and Applied Sciences, 11(5): 96-102

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 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4 

 Tables

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