Orange County NC Website
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14 <br />Eastern Orange County (South of 85 around Old NC 10) <br />South-Central Orange County (3 large TAZs west of I-40 around Old 86) <br />The Carolina North area <br />Downtown Chapel Hill (3 TAZs near UNC Hospital) <br />Chapel Hill (South-East corner of 54 and 15-501) <br />Eastern Chapel Hill (south of 54 near the Durham County line) <br />Maps showing Orange County <br />SectionDescription of Maps Orange County <br />Shown On <br />Pages: <br />3Travel Time Maps:shows travel time from ‘activity <br />3-3, 3-5, 3-7, 3- <br />nodes’ including Hillsborough and Chapel Hill and how 9, 3-11, 3-13 <br />the travel time will change from the base line (2010) to a <br />scenario that includes the existing and committed <br />projects (E+C) or from E+C to one of the alternatives. <br />Shown as a percent change on the line from one node to <br />the other. <br />Travel Isocrone Maps:connect the points that have the <br />44-3, 4-7, 4-11, 4- <br />same travel time from a specified center. They resemble 15, 4-19 <br />contour maps. They are useful for illustrating the mobility <br />from a specified center and for showing the labor, retail, <br />residential and other markets in terms of travel time. <br />These maps are based on the average travel time for the <br />afternoon peak period, which occurs from 3:30pm to <br />7:30pm. <br />Congestion Maps:shows the forecasted level of <br />55-5, 5-6, 5-10, 5- <br />service on specific road segments based on the average 11, 5-15, 5-16, <br />of the four-hour afternoon peak hour. These maps are 5-20, 5-21, 5-25, <br />sometimes called “V/C” maps (V over C maps) because 5-26, 5-30, 5-31, <br />the level of service, or existence of congestion, is 5-35, 5-36, <br />derived by dividing the traffic volume by the traffic <br />capacity of the road segment. For example, a volume of <br />9,000 vehicles on a road that is capable of carrying <br />10,000 vehicles will produce a V/C of 0.9. <br />Socioeconomic Data: <br />6shows the location of the 6-4, 6-7, 6-10, 6- <br />population and employment, median household income 13 <br />and other demographic data that drives the travel <br />demand. The SE Data is among the most important <br />inputs into the Triangle Regional Model <br />(TRM) because the residential data is used to determine <br />the number and type of trips and the employment data is <br />critical for determining the destination for those trips. <br />Highways: A different set of highway projects are <br />7Allmaps in <br />assumed ineach transportation networkused creating section <br />the five alternatives. The entire MPO area is included on <br />2 <br /> <br /> <br />