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Bicycle Transportation and Gentrification and Displacement policy analysis at MIT policy hackathon 2020. (Finalists)

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Name of the project

Bicycle Transportation & Gentrification and Displacement in Southern California

Accomplishment

Finalists in MIT Policy Hackathon 2020.

Installing / Getting started

Get the ipython notebooks and data to generate the analysis. Install anaconda to open and run the notebooks

Key Findings

  1. No significant correlation between bicycle infrastructure to gentrification and displacement in LA and Orange County (in urban vs suburban vs rural areas) between 1990-2000 and 2000-2015

  2. Bike lanes are built in established neighborhoods, but their development does not necessarily attract people

Policy Recommendations

  1. Fill gaps in the data Consider building bike lanes to decrease pollution

  2. Examine positive financial factors from bike lanes in low income areas

Links/Reports

Please refer to the report/*.Pdf document for elaboration on the findings and policy recommendations.

Licensing

The code in this project is licensed under MIT license.

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Bicycle Transportation and Gentrification and Displacement policy analysis at MIT policy hackathon 2020. (Finalists)

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