Changes
On March 17, 2025 at 2:06:10 PM UTC,
Colin Kirby:
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| f | 1 | { | f | 1 | { |
| 2 | "author": null, | 2 | "author": null, | ||
| 3 | "author_email": null, | 3 | "author_email": null, | ||
| 4 | "category": [ | 4 | "category": [ | ||
| 5 | "Demographics & Housing", | 5 | "Demographics & Housing", | ||
| 6 | "Economy", | 6 | "Economy", | ||
| 7 | "Long-Range Plan" | 7 | "Long-Range Plan" | ||
| 8 | ], | 8 | ], | ||
| 9 | "citation": "DVRPC", | 9 | "citation": "DVRPC", | ||
| 10 | "creator_user_id": "6dd27925-da9d-4846-84fe-9ec4db092509", | 10 | "creator_user_id": "6dd27925-da9d-4846-84fe-9ec4db092509", | ||
| 11 | "dataset_level": "Tabular", | 11 | "dataset_level": "Tabular", | ||
| 12 | "groups": [], | 12 | "groups": [], | ||
| 13 | "id": "8f75dffc-69d0-4e20-899b-271cf4ff9095", | 13 | "id": "8f75dffc-69d0-4e20-899b-271cf4ff9095", | ||
| 14 | "isopen": false, | 14 | "isopen": false, | ||
| 15 | "license_id": "notspecified", | 15 | "license_id": "notspecified", | ||
| 16 | "license_title": "DVRPC Data License", | 16 | "license_title": "DVRPC Data License", | ||
| 17 | "license_url": "https://catalog.dvrpc.org/dvrpc_data_license.html", | 17 | "license_url": "https://catalog.dvrpc.org/dvrpc_data_license.html", | ||
| 18 | "maintainer": null, | 18 | "maintainer": null, | ||
| 19 | "maintainer_email": null, | 19 | "maintainer_email": null, | ||
| 20 | "managing_users": "mruane@dvrpc.org", | 20 | "managing_users": "mruane@dvrpc.org", | ||
| 21 | "metadata_created": "2021-06-23T02:45:12.556700", | 21 | "metadata_created": "2021-06-23T02:45:12.556700", | ||
| t | 22 | "metadata_modified": "2025-03-17T13:58:59.830296", | t | 22 | "metadata_modified": "2025-03-17T14:06:10.302983", |
| 23 | "methodology": "Methods are documented in forthcoming Analytical | 23 | "methodology": "Methods are documented in forthcoming Analytical | ||
| 24 | Data Report: ADR21014 https://www.dvrpc.org/Products/ADR21014", | 24 | Data Report: ADR21014 https://www.dvrpc.org/Products/ADR21014", | ||
| 25 | "name": "adopted-2050-v1-0-population-employment-forecasts", | 25 | "name": "adopted-2050-v1-0-population-employment-forecasts", | ||
| 26 | "notes": "This dataset contains tabular data at county, | 26 | "notes": "This dataset contains tabular data at county, | ||
| 27 | municipal/planning district, and zonal levels for the Adopted 2050 | 27 | municipal/planning district, and zonal levels for the Adopted 2050 | ||
| 28 | v1.0 Population & Employment Forecasts. DVRPC uses 2050 v1.0 to as the | 28 | v1.0 Population & Employment Forecasts. DVRPC uses 2050 v1.0 to as the | ||
| 29 | forecast vintage nomenclature, as it is the first forecast to use 2050 | 29 | forecast vintage nomenclature, as it is the first forecast to use 2050 | ||
| 30 | as a horizon year. Analytical Data Report (ADR 21014) documents the | 30 | as a horizon year. Analytical Data Report (ADR 21014) documents the | ||
| 31 | forecasting process and methodologies. \r\n\r\nAs a part of | 31 | forecasting process and methodologies. \r\n\r\nAs a part of | ||
| 32 | DVRPC\u2019s long-range planning activities, the Commission is | 32 | DVRPC\u2019s long-range planning activities, the Commission is | ||
| 33 | required to maintain forecasts with at least a 20-year horizon, or to | 33 | required to maintain forecasts with at least a 20-year horizon, or to | ||
| 34 | the horizon year of the long-range plan. Allocation of growth is | 34 | the horizon year of the long-range plan. Allocation of growth is | ||
| 35 | forecasted using a land use model, UrbanSim, and working closely with | 35 | forecasted using a land use model, UrbanSim, and working closely with | ||
| 36 | member county planning staffs. DVRPC has prepared regional, county, | 36 | member county planning staffs. DVRPC has prepared regional, county, | ||
| 37 | and municipal-level population and employment forecasts in five-year | 37 | and municipal-level population and employment forecasts in five-year | ||
| 38 | increments through 2050, using 2015 Census population estimates and | 38 | increments through 2050, using 2015 Census population estimates and | ||
| 39 | 2015 National Establishments Time Series (NETS) employment data as the | 39 | 2015 National Establishments Time Series (NETS) employment data as the | ||
| 40 | base. \r\n\r\nNote: while 2019 land use model results are provided, | 40 | base. \r\n\r\nNote: while 2019 land use model results are provided, | ||
| 41 | the forecast was only adopted for 2015, 2020, 2025, 2030, 2035, 2040, | 41 | the forecast was only adopted for 2015, 2020, 2025, 2030, 2035, 2040, | ||
| 42 | 2045, and 2050.\r\n\r\nWhile the forecast is not adopted at the | 42 | 2045, and 2050.\r\n\r\nWhile the forecast is not adopted at the | ||
| 43 | transportation analysis zone (TAZ) level, nor for intervening years | 43 | transportation analysis zone (TAZ) level, nor for intervening years | ||
| 44 | between those ending in \"0\" or \"5\", it is allocated to these zones | 44 | between those ending in \"0\" or \"5\", it is allocated to these zones | ||
| 45 | for use in DVRPC\u2019s travel demand model in our UrbanSim land use | 45 | for use in DVRPC\u2019s travel demand model in our UrbanSim land use | ||
| 46 | model. TAZ data conforms to municipal/district level adopted totals | 46 | model. TAZ data conforms to municipal/district level adopted totals | ||
| 47 | for population and employment. It also generates a number of other | 47 | for population and employment. It also generates a number of other | ||
| 48 | attributes required for the travel demand model.", | 48 | attributes required for the travel demand model.", | ||
| 49 | "num_resources": 37, | 49 | "num_resources": 37, | ||
| 50 | "num_tags": 0, | 50 | "num_tags": 0, | ||
| 51 | "org_type": [ | 51 | "org_type": [ | ||
| 52 | "Planning Commission" | 52 | "Planning Commission" | ||
| 53 | ], | 53 | ], | ||
| 54 | "organization": { | 54 | "organization": { | ||
| 55 | "approval_status": "approved", | 55 | "approval_status": "approved", | ||
| 56 | "created": "2020-09-17T13:06:47.958778", | 56 | "created": "2020-09-17T13:06:47.958778", | ||
| 57 | "description": "", | 57 | "description": "", | ||
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| 59 | "image_url": "2020-10-15-205601.9690881bColorPrimaryMedium.png", | 59 | "image_url": "2020-10-15-205601.9690881bColorPrimaryMedium.png", | ||
| 60 | "is_organization": true, | 60 | "is_organization": true, | ||
| 61 | "name": "dvrpc", | 61 | "name": "dvrpc", | ||
| 62 | "state": "active", | 62 | "state": "active", | ||
| 63 | "title": "DVRPC", | 63 | "title": "DVRPC", | ||
| 64 | "type": "organization" | 64 | "type": "organization" | ||
| 65 | }, | 65 | }, | ||
| 66 | "owner_org": "c59ea1c7-70d9-4a1f-86f2-6b35ce91ccdb", | 66 | "owner_org": "c59ea1c7-70d9-4a1f-86f2-6b35ce91ccdb", | ||
| 67 | "posting_frequency": "as_needed", | 67 | "posting_frequency": "as_needed", | ||
| 68 | "private": false, | 68 | "private": false, | ||
| 69 | "relationships_as_object": [], | 69 | "relationships_as_object": [], | ||
| 70 | "relationships_as_subject": [], | 70 | "relationships_as_subject": [], | ||
| 71 | "resources": [ | 71 | "resources": [ | ||
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| 76 | "datastore_active": true, | 76 | "datastore_active": true, | ||
| 77 | "description": "County summary table of adopted 2050.1 | 77 | "description": "County summary table of adopted 2050.1 | ||
| 78 | population forecast", | 78 | population forecast", | ||
| 79 | "format": "CSV", | 79 | "format": "CSV", | ||
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| 103 | "description": "County summary table of adopted 2050.1 | 103 | "description": "County summary table of adopted 2050.1 | ||
| 104 | employment forecast", | 104 | employment forecast", | ||
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| 129 | "description": "Adopted 2050.1 population forecast by | 129 | "description": "Adopted 2050.1 population forecast by | ||
| 130 | municipality and Philadelphia's planning districts", | 130 | municipality and Philadelphia's planning districts", | ||
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| 140 | Planning District", | 140 | Planning District", | ||
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| 156 | "description": "Adopted 2050.1 employment forecast by | 156 | "description": "Adopted 2050.1 employment forecast by | ||
| 157 | municipality and Philadelphia's planning districts", | 157 | municipality and Philadelphia's planning districts", | ||
| 158 | "format": "CSV", | 158 | "format": "CSV", | ||
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| 182 | "datastore_active": true, | 182 | "datastore_active": true, | ||
| 183 | "description": "Detailed zonal attributes for use in TIM2 travel | 183 | "description": "Detailed zonal attributes for use in TIM2 travel | ||
| 184 | demand model from UrbanSim `run_id` 545 results. The same run was used | 184 | demand model from UrbanSim `run_id` 545 results. The same run was used | ||
| 185 | for the adopted population and employment forecast by municipality, | 185 | for the adopted population and employment forecast by municipality, | ||
| 186 | Philadelphia planning district, and county. 2015 was the base year of | 186 | Philadelphia planning district, and county. 2015 was the base year of | ||
| 187 | the forecast and used to simulate out to 2019, until that became the | 187 | the forecast and used to simulate out to 2019, until that became the | ||
| 188 | base year of the forecast.", | 188 | base year of the forecast.", | ||
| 189 | "format": "CSV", | 189 | "format": "CSV", | ||
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| 213 | "description": "Detailed zonal attributes for use in TIM2 travel | 213 | "description": "Detailed zonal attributes for use in TIM2 travel | ||
| 214 | demand model from UrbanSim `run_id` 545 results. The same run was used | 214 | demand model from UrbanSim `run_id` 545 results. The same run was used | ||
| 215 | for the adopted population and employment forecast by municipality, | 215 | for the adopted population and employment forecast by municipality, | ||
| 216 | Philadelphia planning district, and county. 2019 was the base year of | 216 | Philadelphia planning district, and county. 2019 was the base year of | ||
| 217 | `run_id` 545", | 217 | `run_id` 545", | ||
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| 272 | employment forecast by municipality, Philadelphia planning district, | 272 | employment forecast by municipality, Philadelphia planning district, | ||
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| 328 | employment forecast by municipality, Philadelphia planning district, | 328 | employment forecast by municipality, Philadelphia planning district, | ||
| 329 | and county.", | 329 | and county.", | ||
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| 354 | 545 results. The same run was used for the adopted population and | 354 | 545 results. The same run was used for the adopted population and | ||
| 355 | employment forecast by municipality, Philadelphia planning district, | 355 | employment forecast by municipality, Philadelphia planning district, | ||
| 356 | and county.", | 356 | and county.", | ||
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| 383 | employment forecast by municipality, Philadelphia planning district, | 383 | employment forecast by municipality, Philadelphia planning district, | ||
| 384 | and county.", | 384 | and county.", | ||
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| 410 | 545 results. The same run was used for the adopted population and | 410 | 545 results. The same run was used for the adopted population and | ||
| 411 | employment forecast by municipality, Philadelphia planning district, | 411 | employment forecast by municipality, Philadelphia planning district, | ||
| 412 | and county.", | 412 | and county.", | ||
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| 438 | 545 results. The same run was used for the adopted population and | 438 | 545 results. The same run was used for the adopted population and | ||
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| 579 | employment forecast by municipality, Philadelphia planning district, | 579 | employment forecast by municipality, Philadelphia planning district, | ||
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| 747 | employment forecast by municipality, Philadelphia planning district, | 747 | employment forecast by municipality, Philadelphia planning district, | ||
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| 774 | 545 results. The same run was used for the adopted population and | 774 | 545 results. The same run was used for the adopted population and | ||
| 775 | employment forecast by municipality, Philadelphia planning district, | 775 | employment forecast by municipality, Philadelphia planning district, | ||
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| 802 | 545 results. The same run was used for the adopted population and | 802 | 545 results. The same run was used for the adopted population and | ||
| 803 | employment forecast by municipality, Philadelphia planning district, | 803 | employment forecast by municipality, Philadelphia planning district, | ||
| 804 | and county.", | 804 | and county.", | ||
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| 829 | "description": "Detailed zonal attributes from UrbanSim run_id | 829 | "description": "Detailed zonal attributes from UrbanSim run_id | ||
| 830 | 545 results. The same run was used for the adopted population and | 830 | 545 results. The same run was used for the adopted population and | ||
| 831 | employment forecast by municipality, Philadelphia planning district, | 831 | employment forecast by municipality, Philadelphia planning district, | ||
| 832 | and county.", | 832 | and county.", | ||
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| 858 | 545 results. The same run was used for the adopted population and | 858 | 545 results. The same run was used for the adopted population and | ||
| 859 | employment forecast by municipality, Philadelphia planning district, | 859 | employment forecast by municipality, Philadelphia planning district, | ||
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| 887 | employment forecast by municipality, Philadelphia planning district, | 887 | employment forecast by municipality, Philadelphia planning district, | ||
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| 943 | employment forecast by municipality, Philadelphia planning district, | 943 | employment forecast by municipality, Philadelphia planning district, | ||
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