This project is part of HackHPC - SC22's HPC in the City: Dallas hackathon
For more infomation please check out the HackHPC webpage here.
- Kevin Chen [LinkedIn] - University of Maryland, Baltimore County (Computer Science)
- Marie Michelle Ishimwe [LinkedIn] - Methodist University (Computer Science)
- Carlos Iglesias [LinkedIn] - University of Puerto Rico in Mayaguez (Computer Science and Engineering)
- Mentor: Edgar Garza - Texas Advanced Computing Center (TACC)
- Co-Mentor: Pat Scherer - Texas Advanced Computing Center (TACC)
- Technical Mentor: Adonay Sissay - Northwestern State University
Is your neighborhood accessible? At the core of cities' functionality and accessibilty is land use, and the tool that the team has made can help determine that. According to this article by Peter Simek, the idea of measuring a city' accessibility by how many things can be found within a 20 min walk or bike ride is an approach that global major cities such as Paris, Portland, Melbourne, and Barcelona are looking into. It is more sustainable and a solution to many urban settlement challenges such as rising gas and energy costs, transportation costs and more.
The team built an evalutation tool in Python using Googlemaps python library to find the places within a 20 minute walk or bike ride. These places include hospitals, pharmacies, grocery stores, all basic need providers. This tool can be used to determine if a neighborhood is accessible by determining how many of these places are available in a 20 min range.
- Develop a python program that will generate a list of Locations within 20 minutes of an Address
- Youtube: Team Goals
1.Progress Report Google Slides
2.Final Presentation Google Slides
Theme Song: Thundercat - 'Them Changes