Closed heyrutvik closed 2 years ago
docker run -it <image_id> "WA" "King County" <n_thread>
docker run -it <image_id> "WA" "Snohomish County" <n_thread>
docker run -it <image_id> "WA" "Pierce County" <n_thread>
docker run -it <image_id> "WA" "Thurston County" <n_thread>
docker run -it <image_id> "WA" "Kitsap County" <n_thread>
https://beam-outputs.s3.amazonaws.com/new_city/ctpp/wa.zip
https://www2.census.gov/geo/tiger/TIGER2010/TAZ/2010/tl_2011_53_taz10.zip
https://www2.census.gov/geo/tiger/TIGER2019/BG/tl_2019_53_bg.zip
https://www2.census.gov/geo/tiger/TIGER2019/COUNTY/tl_2019_us_county.zip
https://download.geofabrik.de/north-america/us/washington.html
https://transitfeeds.com/p/king-county-metro/73/latest (other resources: https://metro.kingcounty.gov/GTFS/)
"{42660:0.6, '-':0.4}" .
parameters
filtered for just the seattle CBSA (42660). Because the sample size there is pretty small I used an 60/40 blend of seattle and the US average by using {42660:0.6, ‘-’:0.4} as the first arg ― Zach Needell
Washington WA 53, King County 33, Snohomish County 61, Pierce County 53, Thurston County 67, Kitsap County 35
~53
Notes:
repo: https://github.com/LBNL-UCB-STI/beam-data-seattle/tree/rrp/beam-issue-3310
Current status: The map we cropped is too big to optimize. We may want to consider removing one (or two) of the counties included.
Update: The optimization script doesn't spits out valid pbf file, even tried to reduce considered counties. Continuing with filtered pbf file for now.
Summarizing work so far:
CRS: 32048
population count (see complete log):
Number of households: 1130405
Number of of people: 1760193
data repo: https://github.com/LBNL-UCB-STI/beam-data-seattle
1k population result: https://s3.us-east-2.amazonaws.com/beam-outputs/index.html#output/seattle/seattle__2022-01-24_06-35-08_sgk
doc edited:
Just at first glance, the ratio of persons to households feels kinda low to me. Do these numbers include non-workers?
@zneedell missed your comment earlier.
Do these numbers include non-workers?
No. These are after removing <16 age people and applying work force sampler. See following figures. 3967172
is the unfiltered number.
14:00:49.801 [main] INFO b.u.d.synthpop.PopulationCorrection$ - Read 1530636 households with 3967172 people
14:00:49.904 [main] INFO b.u.d.synthpop.PopulationCorrection$ - After filtering them got 1530624 households with 3141680 people.
Removed 12 households and 825492 people who are younger than 16
14:00:51.226 [main] INFO b.u.d.synthpop.PopulationCorrection$ - After applying work force sampler got 1150136 households with 1797137 people.
Removed 380488 households and 1344543 people
14:00:52.816 [main] INFO b.u.d.s.SimpleScenarioGenerator - Total number of households: 1150136
14:00:52.928 [main] INFO b.u.d.s.SimpleScenarioGenerator - Total number of people: 1797137
Do we want to generate unfiltered population files just as we did for New York?
These are after removing <16 age people. See following figures.
23:23:01.403 [main] INFO b.u.d.synthpop.PopulationCorrection$ - Read 1530636 households with 3967172 people
23:23:01.476 [main] INFO b.u.d.synthpop.PopulationCorrection$ - After filtering them got 1530624 households with 3141680 people.
Removed 12 households and 825492 people who are younger than 16
23:23:04.155 [main] INFO b.u.d.s.SimpleScenarioGenerator - Total number of households: 1530624
23:23:04.239 [main] INFO b.u.d.s.SimpleScenarioGenerator - Total number of people: 3141680
...
00:13:33.072 INFO b.u.d.s.SimpleScenarioGenerator$ - Number of households: 1498174
00:13:33.519 INFO b.u.d.s.SimpleScenarioGenerator$ - Number of of people: 3060577
plans s3 location: s3://beam-outputs/new_city/seattle/scenario_files_elderThan16Years_withoutWorkSampling/
Subtasks:
Instructions to create new scenario: https://ec2-18-116-117-142.us-east-2.compute.amazonaws.com/doku.php