Name: Connect Low-income Communities to Job Rich Districts
Display Field: Value
Type: Raster Layer
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Description: This model identifies the most cost effective potential routes for walking and biking between low income communities and job rich areas. Low income communities were identified as those block groups where more than 50% of the population was living below twice the federal poverty level. Job Rich districts were identified using employees per mile density layer derived from ESRI business analyst data. A least cost path analysis was completed to derive all possible routes between low income communities as the source and job rich districts as the destinations. The identified routes were buffered by 200 ft. to identify the corridors where a potential high demand for active transportation is needed.
Name: Connect Low-income Communities to Medical Facilities and Shopping Centers
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This model identifies the most cost effective potential routes for walking and biking between low income communities and key shopping facilities and medical facilities. Low income communities were identified as those block groups where more than 50% of the population was living below twice the federal poverty level. Key shopping facilities were considered all grocery stores with a produce section and medical facilities were considered all hospitals and medical offices identified in Business Analyst. A least cost path analysis was completed to derive all possible routes between low income communities as the source and key shopping facilities and medical offices as the destinations. The identified routes were buffered to identify the corridors where a potential high demand for active transportation is needed.All identified buffered routes were given a priority value of 5 (High)
Name: Connect Low-income Commuities to High Quality Transit
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This model prioritizes areas that have been mapped as High Quality Transit Areas and where these areas overlap areas with a mile of low income communities .High quality transit areas (HQTA) were identified and defined by SCAG as: generally a walkable transit village, consistent with the adopted SCS that has a minimum density of 20 dwelling units per acre and is within a ½ mile of a well-serviced transit stop, and includes transit corridors with minimum 15-minute or less service frequency during peak commute hours and are spatially represented by Major Transit Stops and High Quality Transit Corridors. Low income communities were identified as those block groups where more than 50% of the population was living below twice the federal poverty level. The model merges Major Transits Stops, 2012 High Quality Transit Corridors, 2040 High Quality Transit Corridors, and areas within a 20 minute (1-mile) walk of a lowincome community using and equal weighted sum model. Priority values assignedusing a natural breaks slice 0 to 5 scale,
Name: Connect High Bike/Walk Communities to Job Rich Districts
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This model identifies the most cost effective potential routes for walking and biking between communities with populations with high bike walk participation and job rich areas. Populations with high bike walk participation were Job Rich districts were identified using employees per mile density layer derived from ESRI business analyst data. A least cost path analysis was completed to derive all possible routes between low-income communities as the source and job rich districts as the destinations. The identified routes were buffered by 200 ft. to identify the corridors where a potential high demand for active transportation is needed.All identified buffered routes were given a priority value of 5 (High).
Name: Connect High Bike/Walk Communities to Medical Facilities and Shopping Centers
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This model identifies the most cost effective potential routes for walking and biking between communities with populations with high bike walk participation and key shopping facilities and medical facilities. Key shopping facilities were considered all grocery stores with a produce section and medical facilities were considered all hospitals and medical offices identified in Business Analyst. A least cost path analysis was completed to derive all possible routes between low income communities as the source and key shopping facilities and medical offices as the destinations. The identified routes were buffered to identify the corridors where a potential high demand for active transportation is needed. All identified buffered routes were given a priority value of 5 (High).
Name: Provide Access to LA River Revitalization Projects
Display Field: Value
Type: Raster Layer
Geometry Type: null
Description: This model identifies the areas within a 10 minute walk to all proposed Los Angeles River Revitalization Projects. A primary goal in the Sustainable LA Plan is to increase access to parks and open space with a focus on a revitalized LA River and building out the LA River Bike Path.The 10 minute walk areas for the top revitalization projects identified were given highest priority (5).
Description: This model identifies the areas within a 10 minute walk to all public schools.The 10 minute walk areas for the top 50 priority schools identified in safe routes to schools report were given highest priority (5); the 10 minute walk service areas for the remainder of the public schools were given a priority moderate to high priority value of 4.
Description: This model identifies the areas within a 10 minute walk to all universities and colleges.The 10 minute walk areas for any college or university were given highest priority (5).
Description: In 2012, the Los Angeles Metro Board authorized development of the First-Last Mile Strategic Plan with the goal of coordinating infrastructure investments that would expand reach and ridership of transit. The draft study found that "all metro riders must contend with the first-last mile challenge, and the easier it is to access the system, the more likely people are to use it" This model prioritizes areas within a mile of low-income communities, job-rich areas, grocery stores, and medical facilities. Areas with a 10 minute walk (2640 ft.) were given high priority value (5), and areas within 20 minute walk (5280 ft.) were given a moderate to high priority value (4). The average travel time for walking commute time is approximately 10 minutes; the average travel time for bicycle commuting is 20 minutes (https://www.census.gov/prod/2014pubs/acs-25.pdf).
Description: This model was created using an equal weighted overaly idenitfying where there is overlap between all the Connect priority models (CT01: Connect Low-income communities to Job Rich Districts - CT09: First Last Mile Walkable Areas). Each connect model was weighted at 11%.