Description: The data in the Alternative Fueling Station Locator are gathered and verified through a variety of methods. The National Renewable Energy Laboratory (NREL) obtains information about new stations from trade media, Clean Cities coordinators, a Submit New Station form on the Station Locator website, and through collaborating with infrastructure equipment and fuel providers, original equipment manufacturers (OEMs), and industry groups. Each point on the map is counted as one station in the station count. A station appears as one point on the map, regardless of the number of fuel dispensers or charging outlets at that location. Station addresses are geocoded and mapped using an automatic geocoding application. The geocoding application returns the most accurate location based on the provided address. Station locations may also be provided by external sources (e.g., station operators) and/or verified in a geographic information system (GIS) tool like Google Earth, Google Maps, or Google StreetView. This information is considered highly accurate, and these coordinates override any information generated using the geocoding application. Source: US Department of Energy - Energy Efficiency & Renewable Energy
Description: Bottleneck Definition:Bottleneck conditions are determined by comparing the current reported speed to the reference speed for each segment of road. Reference speed values are provided to us for each segment and represent the 85th percentile observed speed for all time periods. If the reported speed falls below 60% of the reference, the road segment is flagged as a potential bottleneck. If the reported speed stays below 60% for five minutes, the segment is confirmed as a bottleneck location.Field Descriptions:Rank: From the 'Bottleneck Ranking' tool, all ten segments ranked 1-10, 1 being the largest bottleneck.Impact: The aggregation of queue length over time for congestion originating at each location in mile-minutes. For example, if at time t1 an element has congestion covering one mile of the roadway, it has an impact of 1. If the congestion then grows at time t2 to cover 2 miles, the location will now have an impact of 3. If at time t3 congestion shrinks to 1 mile, and at t4 there is no congestion, the element will have a final impact of 4.Avg_Max_Le: The average maximum length, in miles, of queues formed by congestion originating at the location.Avg_Durati: The average amount of time per day that congestion is identified originating at the location.Total_Dura: The total amount of time congestion was identified at the location.Name: Name of road segment, direction, and nearest exit or crossroad.
Copyright Text: Missouri Regional Integrated Transportation Information System (RITIS),
Probe Data Analytics Suite
Author: Shawn Urbach
Description: The 9-1-1 street centerlines used within the regional 9-1-1 system for Greater Kansas City. This centerline supports address geocoding by street name and emergency service zone for the nine-county region encompassed by the Mid-America Regional Council (MARC). This dataset is maintained on a daily basis by MARC GIS through coordination with MARC's Public Safety Program and the cities and counties which contribute their street data to the program.
Copyright Text: MARC Public Safety Program; MARC GIS; The cities and counties comprising the MARC region.
Description: The Freight Zone Boundaries were mainly based primarily on land use, acreage, with some slight adjustment made based on employment data. The MARC region has currently identified 30 Freight Zone Boundaries.The Freight Zone Boundaries were identified as having at least 250 acres of freight-related, including proposed vacant/agr freight-related, land use, or if there is less than 250 acres then the zone boundary would need to have over 3,000 manufacturing jobs.The layer used to determine land use is located: X:\MARC_GIS\landuse.lyr (Created Monday, March 23, 2015, 1:15:31 PM)
Copyright Text: MARC Transportation Planning Intern - LFord (2015-2017)
Color: [0, 0, 0, 255] Background Color: N/A Outline Color: N/A Vertical Alignment: bottom Horizontal Alignment: left Right to Left: false Angle: 0 XOffset: 0 YOffset: 0 Size: 8 Font Family: Arial Font Style: normal Font Weight: normal Font Decoration: none
Description: The Federal Aid Urban Area Boundary was developed by adjusting or "smoothing" the 2010 Kansas City, MO--KS urbanized area defined by the US Census Bureau. This boundary was approved by MARC in October 2012. FHWA KS Division approved the Kansas portion of the boundary in May 2013.
Description: The official Metropolitan Planning Organization boundary for the Mid-America Regional Council. This boundary was approved by Missouri Governor, Jay Nixon on 8\19\2009. MARC functions as the Metropolitan Planning Organization (MPO) for greater Kansas City. The planning boundary does not extend to the entire MARC region. Two MARC member counties--Miami County in Kansas and Ray County in Missouri--are not included within this boundary.Update 2013 - Miami County was added to MPO boundaryUpdate 2015 - A small sliver of Lafayette County was added to MP Boundary