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Effectively, yeah, initially via some form of iterative ranked/approval/runoff system.
Citizens are given a map of the residences surrounding their own, and asked to select a ranked list of addresses forming a continuous and compact neighborhood of over 150 people. Residences share a building or utility connection, like duplexes, walled subdivisions, and apartments, are automatically joined. Large apartment buildings and other similar automatic groupings over 150 people are subdivided by similar vote into sections of no less than 75 people. I imagine this done by some graphic applet.
These rankings are then used to generate neighborhood districts of 75-150 people based on maximum consensus, perhaps with the inclusion of a final approval vote. The citizens then get a list of all the voting age members of their neighborhood, from which they select a ranked list of nominees for representative, as well as a list of time slots at public buildings, from which they select a ranked list of meeting times/locations. This establishes the base for at least the first meeting.
At this point, things progress like most representative democracies: constituents proposes an action, the representative forwards a formal proposition at the next meeting, which is voted on. These can either be purely local, or proposals to be presented at the next higher council. This includes the drawing of borough districts, which is similar to the process of drawing neighborhood districts except that the proposed borough map must be presented before, and voted on by, the neighborhood as a whole.
Steps 2 and 3 are repeated at the borough, county, and state levels, continuously balancing to approach equal representation (e.g. a borough composed primarily of small 80 person neighborhoods would have 125 representatives, whereas a borough composed primarily of large 140 person neighborhoods might have only 72 representatives). This will lead to some variance in "power" of each small-scale representative, but it should even out by the mid-scale.
The initial process is very involved, but once the framework is in place, redistricting, when necessary, becomes simpler. Ideally, this leads to districts which emerge naturally by neighborly consensus, rather than dictated by narrow points of failure. By being so distributed, it's also much more difficult for a small number of people to wrest control of a large area.
Additionally, this is not to say that sub-districts of any given district can't caucus together for issues in between the district and super-district level (e.g.
I've got to say, having been involved in campaigns to end gerrymandering, there is a subset of people who can be bothered to learn/care about how it works, and many others who don't. Your process sounds even more complex and time consuming, and I don't see it being effective because the general public won't be invested in it. Like voting for traffic court judges but even more confusing.
More importantly I also think you're underestimating the complexity of reconciling hundreds of thousands of neighborhoods per state, each a ranked choice list of different variants. One person will pick a boundary, and then some other person will pick a boundary that conflicts with it, multiply that by a dozen million and then what, some algorithm will decide which lines are correct? And then the resulting districts still won't have an equal number of constituents? That violates the one person one vote principle, which is part of the issue with gerrymandering and the electoral college.
My goal here was to make that irrelevant. Districts emerge naturally rather than being researched and drawn. Yes there's complexity, but not in the surface. On surface it's just a paint-by-numbers of the area around your house.
Pretty much. Optimization algorithms are powerful. By ranking addresses like a topographical map rather than just drawing homogenous districts, you automatically have the data needed to refine the resulting districts. The whole system basically amounts to a matrix of weighted preferences, which is the one main thing current "AI" is actually good at resolving.
They already aren't. Like I said, some neighborhoods will be bigger than others, so some boroughs will have more neighborhoods than others, by the time you get to the county level every district should be almost exactly the same. At the neighborhood level, equal sizes is less important than geographic relevance. By the scale that equal representation matters, you have it.
I can't claim the system is perfect, but it's hard to imagine a better one. Every model has limitations.