Carbon Footprint Reduction through Cycling: Strava API Approach
Exploring Environmental Impact Analysis and Data Visualization Using Python and JavaScript
Nurul Aulia Dewi
I am Nurul Aulia Dewi, a 2023 graduate with a Bachelor's degree in Informatics Engineering. Currently, I work as a Junior Geographic Information System (GIS) Developer, where I develop and maintain GIS applications, analyze spatial data, and support various GIS projects.
Since starting my role, I have become an enthusiastic user of OpenSUSE, finding its stability and open-source nature invaluable for managing and processing geospatial data.
I have a deep passion for programming and continuously explore new languages and technologies to enhance my skills. I am driven by a desire to use technology to solve real-world problems and am always seeking innovative ways to improve my GIS capabilities.
M. Edwin Zakaria
openSUSE user from Indonesia, https://en.opensuse.org/User:Medwin. Co-admin of Indonesian openSUSE Community website (https://opensuse.id) and community repositories (https://repo.opensuse.id and https://twrepo.opensuse.id). I'm happy that openSUSE Indonesia Community still alive and well with around 1200 telegram group members and 4000 facebook group register members.
No video of the event yet, sorry!
According to the International Energy Agency (IEA), the transportation sector was responsible for approximately 24% of energy-related greenhouse gas emissions in 2020. In efforts to reduce individual carbon footprints, environmentally-friendly physical activities such as cycling are becoming increasingly important. This presentation focuses on utilizing programming, specifically Python and JavaScript, to extract and analyze physical activity data sampled from athletes on widely-used sport applications like Strava, leveraging their APIs.
Data collection methods utilize accessible and collaborative platforms. The collected data includes metrics such as distance traveled, speed, elevation, and estimates of carbon savings from cycling activities. Detailed calculations of carbon savings are provided to estimate the amount of carbon emissions avoided.
The presentation demonstrates the potential of computational technologies, using Python for data extraction and analysis and JavaScript for data visualization, to analyze and visualize the environmental impacts of physical activities such as cycling, using sampled data from Strava's athlete community. Consequently, this investigation provides insights into the benefits of reducing carbon emissions through cycling and individual contributions to environmental conservation.
Successful extraction and analysis of data from athlete samples on commonly used applications are expected to enhance understanding and awareness of environmental issues. This is anticipated to provide better insights into the environmental impact of physical activities, such as cycling, and to reinforce global awareness of the importance of environmental conservation.
- Date:
- 2024 November 3 - 15:00
- Duration:
- 20 min
- Room:
- Room C
- Conference:
- openSUSE.Asia Summit 2024
- Language:
- en
- Track:
- openSUSE
- Difficulty:
- Medium
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- Start Time:
- 2024 November 3 15:00
- Room:
- Room A
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- Start Time:
- 2024 November 3 15:00
- Room:
- Room B