Identify possible data model implementation

[lianilychee]

Context

If awarded, the anti-displacement project will start in Fall 2022. In the anti-displacement project*, we have to identify areas** at-risk of Project Connect rail displacement.

*Project is in partnership with YWCA
**Area granularity to the “mailing addresses” level

Problem

We don’t know how to identify areas at-risk of Project Connect rail displacement. The city has made a displacement risk map, but the city’s map has a very binary evaluation of “at risk” — a neighborhood is either “at risk” or “not at risk.” There’s no nuance in-between.

Solution

In no particular order:

• Identify the calculations and datasets that inform city’s displacement risk map
• Identify established
  • transportation equity factors
  • displacement factors
• Identify how to correlate this info into a working model

Acceptance criteria

• A description of a data model that measures displacement risk (maybe formula?)
• A rudimentary roadmap in order to create the data model (following the now/next/later framework)

Reference info

• The city’s displacement risk map"