opportunity_maps_pdx | ||
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| Category | Planning | |
| Feature Dataset Name | STAND-ALONE | |
| Item Name | Opportunity_Maps_pdx | |
| Database Type | SDE | |
| Originator | City of Portland | |
| Bureau | Bureau of Planning and Sustainability | |
| Publication Date | 06/13/2014 | |
| Abstract | As the name suggests, “Opportunity mapping” is a research tool that uses spatial analysis to shed light on existing opportunities in the city. Neighborhood resources and access to these resources present themselves as “opportunities” to area residents, impacting not just their quality of life but also their chances for self-advancement and fulfillment of their household needs and aspirations. The Kirwan Institute based in Ohio State University is to be credited for offering this tool that aims to provide an analytical framework to illustrate the presence and intensity of various opportunities in an area. The analysis can be customized to select and weight resources based on community specific objectives. For creating Opportunity Maps for the City of Portland, the five key categories that were used include: (1) Childhood Education; (2) Employment; (3) Transportation; (4) Access to Family Wage Jobs; and (5) Healthy Eating Active Living (HEAL). | |
| Purpose | This layer is a useful tool that can help the City of Portland to make strategic investments to further equity and enhance opportunities for all its residents. | |
| Supplemental Information | ||
| Last Dataset Update | 02/27/2019 10:24 | |
| Last Source Update | 04/27/2018 09:00 | |
| Maintenance/Update Frequency | Unknown | |
| Extent | Clackamas County, Multnomah County, and Washington County, Oregon | |
| Data Type | Vector | |
| Shape Type | Polygon | |
| Feature Count | 5 | |
| Horizontal Position Accuracy | This layer represents the final output of the processing of many different layers, each with their own level of accuracy. Horizontal position accuracy is unknown. | |
| Horizontal Position Accuracy Link | Taxlots | |
| Progress | Complete | |
| North Bounding Coordinate | 737527.791994766 | |
| South Bounding Coordinate | 645878.813976392 | |
| East Bounding Coordinate | 7702258.07349081 | |
| West Bounding Coordinate | 7598725.67716537 | |
| Theme Keyword(s) | opportunity mapping, portland | |
| Theme Keyword Thesaurus | none | |
| Place Keyword(s) | Portland, Multnomah County, Washington County, Clackamas County, Oregon | |
| Place Keyword Thesaurus | none | |
| Access Constraints | Available for Public Use | |
| Use Constraints | These data are distributed under the terms of the City of Portland Data Distribution Policy. Care was taken in the creation of this data but it is provided "as is". The City of Portland cannot accept any responsibility for errors, omissions, or positional accuracy. | |
| Source Dataset Type | Shapefile | |
| Output Geodatabase | EGH_Web | |
| Distribution | Grid: State plane coordinate system 1983(91). Units: International feet Datum: North American Datum of 1983/1991 (HPGN) Liability: The information in this file was derived from digital databases on the City of Portland GIS. Care was taken in the creation of this file. The City cannot accept any responsibility for errors, omissions, or positional accuracy. There are no warranties, expressed or implied. Format: Shapefile or File Geodatabase Feature Class - Data will be provided via City of Portland FTP Site. Online Resource: http://portlandmaps.com/opendata Online Instructions: City of Portland Public/Open Data is distributed via the PortlandMaps Open Data Site - http://portlandmaps.com/opendata. Data not available on the PortlandMaps Open Data site can be requested by contacting the City of Portland CGIS Group - maps@portlandoregon.gov Transfer Size: varies SPCS Zone Identifier: 5076 | |
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| Lineage | ||
| Methodology: This layer represents the final output of an analysis measuring the proximity to five categories of opportunities (shown in the maps below) that the community values as being critical to keeping housing costs affordable and for achieving household prosperity. As part of their 5-Year Housing Plan, the Housing Authority of Clackamas County (HACC) developed a series of opportunity maps. The methodology for this study is based on modifications to the HACC Opportunity Mapping Project. Outputs for this analysis were generated with ArcGIS 10.1 using ArcToolbox tools, Network Analyst, and Spatial Analyst extensions. This analysis required no custom programming and was performed using only “out of the box” tools. To measure proximity, walkable isochrones of ¼ mile, ½ mile, and 1 mile were prepared in Network Analyst for the selected opportunities, using a network comprised of street centerline and walking trail datasets. Density measurements were generated using the Kernel Density, Point Density, and Line Density tools in Spatial Analyst. Kernel Density and Point Density were run with a 1-mile search radius (the maximum walking distance scored), while the Line Density was run with a 660-foot search radius (the width of a standard city block). Data was collected and analyzed for an area up to 1 mile (as per the max walking distance) outside of the city boundary to ensure the quality of inputs and outputs at the city’s edges. | ||
| Analysis Tools by Opportunity Category: Walking distance networks were created for the following data/opportunities: public K-12 schools, (grouped as “Childhood Education”); adult education resources (grouped as “Employment”); transit centers, light rail, streetcar, tram, bus stops, bike lanes (all grouped as “Transportation”); parks and natural areas, senior centers, chain grocery stores, meal centers, independent food stores, farmers’ markets, community gardens, Multnomah County health clinics, hospitals with emergency rooms (all grouped as “HEAL”). School catchment areas were used to score high school graduation rates and achievement index ratings (all grouped as "Childhood Education"). A network analysis, based on a 60-minute trip via mass transit, was created for the family wage jobs dataset (grouped as “Access to Family Wage Jobs”). Density analyses were generated for the following data/opportunities: sidewalks (grouped as “Transportation”); clinics and providers accepting Oregon Health Plan (OHP) (grouped as "HEAL"); higher-wage jobs, lower-wage jobs (all grouped as “Employment”). | ||
| Analysis: To keep the five primary categories consistent, all of these categorical scores were standardized to a 0-100 scale. The walking distance isochrones were given the following values: ¼ mile = 3, ½ mile = 2, 1 mile = 1, greater than 1 mile = 0. For density analyses, Kernel Density (lower-wage jobs, higher-wage jobs) and Line Density (sidewalks) and Point Density (OHP providers) were used. The Kernel and Point Density outputs were then reclassified into 25 classes while the Line Density output was reclassified to 10 classes, all using the “Jenks” method. Next, the rasters were converted to feature classes, and the values were standardized to a 0-100 scoring scale. Layers were then overlaid with the Union tool and the component scores were summed and standardized to produce the final output, with all five primary opportunity categories (Transportation, Access to Family Wage Jobs, HEAL, Childhood Education, Employment) receiving an equal weight. | ||
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| Table Description | ||||||
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| Column Sort | Column Name | Column Alias | Column Type | Column Size | Domain Value(s) | Column Description | 1 | OBJECTID | OBJECTID | Integer | 10 | | | 1 | SymbologyS | SymbologyS | Integer | 5 | | |