{
 "culture": "en-US",
 "name": "",
 "guid": "",
 "catalogPath": "",
 "snippet": "",
 "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).",
 "summary": "",
 "title": "Connect High Bike/Walk Communities to Job Rich Districts",
 "tags": [],
 "type": "",
 "typeKeywords": [],
 "thumbnail": "",
 "url": "",
 "minScale": "NaN",
 "maxScale": "NaN",
 "spatialReference": "",
 "accessInformation": "The Trust for Public Land",
 "licenseInfo": "",
 "portalUrl": ""
}