a-b-street / a-b-street/abstreet

TW Presidential Hackathon

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Description

A/B Street is participating in the [Taiwan presidential hackathon](https://presidential-hackathon.taiwan.gov.tw/en/international-track/)! The new "ungap the map" bike network tool is our focus, as a way to help citizens & advocacy groups push governments for alternatives to driving in cities. The tool is related to [SDG 11](https://sdgs.un.org/goals/goal11) and [SDG 13](https://sdgs.un.org/goals/goal13). The demo is at: http://abstreet.s3-website.us-east-2.amazonaws.com/0.2.56/abstreet.html?--ungap&system/us/seattle/maps/aurora_central.bin

I'll use this issue to organize project management.

# Work plan

Summarizing from a spreadsheet, subject to change:
- 19-27 Aug: Prep for the Aurora workshop at Lantern: a-b-street/abstreet#725.
- 30 Aug - 3 Sept: Address UI feedback so far, improve road editor
- 6 - 10 Sept: Proposal sharing
- 13 - 17 Sept: Flesh out the routing tool, and work on mode shift a-b-street/abstreet#448 to predict how many driving trips might change if infrastructure is built
- 20 - 24 Sept: Add basic carbon emissions modeling
- 27 Sept - 1 Oct: Deploy to more cities. Depending on connections we can make, Tempe, NYC, and Taipei are possibilities.
- 4 - 8 Oct: Improve performance of tool, especially on the large Seattle-wide map
- 11 - 14 Oct: Write documentation, prepare for final demo, catch up on any final polishing needed.

# Feedback from judges

Two people mentioned tying the work into climate change more directly:

- "The stackholders can analyze the carbon saved by this platform"
- "-No use or generate of data on climate change. (traffic data is used instead) A suggested improvement would be to calculate the carbon emission reduction from the proposed change. (calculate measurable impacts)"

And in response, I think I'll prioritize "testing" somebody's proposed bike network by
1) Seeing how many short driving trips would make use of new infrastructure - a-b-street/abstreet#448
2) Adding a basic carbon emissions model and estimating savings from people making different travel choices

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