Description: The Bicycle_Fac_Point feature class includes polyline data on existing and proposed facilities such as bike parking, crossing improvement, bike boxes, bike share kiosks, and bike detection loops. It also includes information on bicycle-oriented signage and hazardous grates. It also includes information on surface condition, facility width, slope, and rumble strips. The dataset provides a consistent set of attribute fields on existing and proposed bicycle facilities for use in planning, project development, and analysis. This data set was compiled from local bicycle plans supported by the NCDOT Planning Grant Initiative (initiatied 2004) and voluntary submissions from local jurisdictions from a solicitation process starting in early 2013. The data set remains incomplete as solicitation from agencies and jurisdictions within North Carolina is ongoing.
Copyright Text: Institute for Transportation Research and Education, North Carolina State University
Description: The Ped_Fac_Point feature class includes point data on existing and proposed facilities such as crosswalks, pedestrian signals, curb extensions, and crossing islands. The data also includes signage and hazards. The dataset provides a consistent set of attribute fields on existing and proposed pedestrian facilities for use in planning, project development, and analysis. This data set was compiled from local pedestrian plans supported by the NCDOT Planning Grant Initiative (initiatied 2004) and voluntary submissions from local jurisdictions from a solicitation process starting in early 2013. The data set remains incomplete as solicitation from agencies and jurisdictions within North Carolina is ongoing.
Copyright Text: Institute for Transportation Research and Education, North Carolina State University.
Description: The Bicycle_Fac_Linear feature class includes polyline data on existing and proposed facilities such as bike lanes, bike routes, bicycle boulevards, and paved shoulders. It also includes information on surface condition, facility width, slope, and rumble strips. The dataset provides a consistent set of attribute fields on existing and proposed bicycle facilities for use in planning, project development, and analysis. This data set was compiled from local bicycle plans supported by the NCDOT Planning Grant Initiative (initiatied 2004) and voluntary submissions from local jurisdictions from a solicitation process starting in early 2013. The data set remains incomplete as solicitation from agencies and jurisdictions within North Carolina is ongoing.
Copyright Text: Institute for Transportation Research and Education, North Carolina State University.
Description: The Ped_Fac_Linear feature class includes polyline data on existing and proposed facilities such as sidewalks and other types of footpaths. It includes information on material, facility width, buffer, buffer width and slope. The dataset provides a consistent set of attribute fields on existing and proposed pedestrian facilities for use in planning, project development, and analysis. This data set was compiled from local pedestrian plans supported by the NCDOT Planning Grant Initiative (initiatied 2004) and voluntary submissions from local jurisdictions from a solicitation process starting in early 2013. The data set remains incomplete as solicitation from agencies and jurisdictions within North Carolina is ongoing.
Copyright Text: Institute for Transportation Research and Education, North Carolina State University.
Description: The SUP_Fac_Linear feature class includes polyline data on existing and proposed shared use path facilities such as greenways, trails, and mixed use paths. The dataset provides a consistent set of attribute fields on existing and proposed shared use path facilities for use in planning, project development, and analysis. This data set was compiled from local bicycle and pedestrian plans supported by the NCDOT Planning Grant Initiative (initiatied 2004) and voluntary submissions from local jurisdictions from a solicitation process starting in early 2013. The data set remains incomplete as solicitation from agencies and jurisdictions within North Carolina is ongoing.
Copyright Text: Institute for Transportation Research and Education, North Carolina State University.