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Geospatial Data Science project work on 15-minute-city in Montreal

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Montreal In 15 Minutes

Michel Poesze, Carolina Branas Soria, Emma Stoklund Lee

Abstract

Urban planning and sustainability are essential in enhancing the liveability of cities, and the concept of the 15-minute city offers a promising framework. This research focuses on Montreal, Canada, to evaluate its adherence to the 15-minute city model, which aims to provide residents with access to essential amenities within a 15-minute journey using various transportation methods. We developed an interactive app that visually represents neighbourhood accessibility to different amenities via walking, cycling, and driving. Our methodology involves collecting data from OpenStreetMap, processing it to create choropleth maps and distance graphs, and presenting it through a user-friendly interface built with Streamlit. The app allows users to analyse amenity distribution and travel times, aiding in informed relocation decisions and urban planning. Our findings suggest that while Montreal shows potential as a 15-minute city, with some neighbourhoods like Ville Marie and Le Plateau-Mont-Royal offering excellent amenity access, peripheral neighbourhoods need improvements in accessibility. The research highlights the importance of reliable data and suggests future enhancements, including integrating real-time data and public transportation analysis, to provide a more comprehensive understanding of urban accessibility.

Application prototype

https://gds-15minute-city-montreal.streamlit.app/Welcome

Files

  • app
  • cache
  • distances
  • initial_analysis
    • amenities_density_choropleth.ipynb
    • distance_calculating_choropleth.ipynb
    • distance_graphs_final.ipynb
    • distances_analysis_final.ipynb
    • district_analysis_final.ipynb
    • montreal_research.ipynb
    • pois_cleaning.ipynb
  • .DS_Store
  • .gitignore

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