20160412 07542000 1.0 FGDC CSDGM Metadata FALSE RoadsCurrent 699538.442031 921265.002842 399135.328873 562841.282957 1 002 Projected GCS_North_American_1983_HARN Linear Unit: Foot_US (0.304801) NAD_1983_HARN_WISCRS_Dane_County_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.8'><WKT>PROJCS["NAD_1983_HARN_WISCRS_Dane_County_Feet",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",811000.0],PARAMETER["False_Northing",480943.886],PARAMETER["Central_Meridian",-89.42222222222223],PARAMETER["Standard_Parallel_1",43.0695160375],PARAMETER["Scale_Factor",1.0000384786],PARAMETER["Latitude_Of_Origin",43.0695160375],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",8193]]</WKT><XOrigin>-119400400</XOrigin><YOrigin>-97309100</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>103412</WKID><LatestWKID>8193</LatestWKID></ProjectedCoordinateSystem> 20251223 13563000 20251223 13563000 FGDC 150000000 5000 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKYJozOYBIvmhQ5TPIUkgHHpwafWBd6nZXGuNp5SY3FkFllaFHJCOjYAKc5J7D096uEHK4 G3NPHbqpkJ+Y7VCqWJOM4AHJ4BP4UkFxHcKzRk/K21gylSD6EHkcEH8a5qVgsH2pb3UYhDNM5eSF 5FiCiRQfmUnAyM8//WZNsuNVL3FrbrfSNvt4pbbzGdNgUnduXjIPDAEegJrVUV3Fc6UX1o04gW5i aUsVCK4JyM5GPwNP+0w+f5HmDzePl78gn+hrmfKmm1GztI7M2aJKznFxKVXKvgBMqMH5+nTb0wQT ZgecakVi021+zkNbq6zFF35Jkwuzvt6+qY96HRXT9AubcV5DNIUTzCQzKSYmC5BweSMdRVYa1ZMo YG4IIRh/o0nRjhf4e5rEs3ubZwslxcwWccsqBIYy4Uh3A5MfzA8ADJJO3HNR2N5dppCCS2AZpoMT COX5gCgB2bOCMYK7jyDzzT9ghXOiOrWI24nDMwzsVSzDkDlQMjkgc9zikTVrSTy9n2g+Ym9P9Gk5 Xjn7vuPzrOuLiSa/ihllDK9vKpU2EvK5QHjPvWZp2pXFlb2QvLnCwWTt5rWMpBjAQ7jg9gCDn09x kVFNX/rr5Bc7CORJokljOUdQyn1Bp1cRp0t9YaJM2qz3rzKhjhK/LtcFhghG2jC7DzjgE881sLfT rG72lnfsLi18y3DurkEAnOGc4+8nFTOhZtJjub9Fc7Nqt9EGkME0YS7fzA6IQI1jY4H7wdgGz7mm 3N25nlBjvBK11EqD7Qq/IfLJAUSDPBP580lRfcLnSUVzTLKjXWINS2i6iVR9rOVyUyM+b0Oenv8A lVl1hLG9uYLjTNbkKuGJhn3pEuxTyfN4HDH8D7ZaoN7P+vvC519Fcgl5f30jzQW19DpPmwCFxcAv cHzPmIJfKp0HH3vp97Tmur2cXUUcDxn7VHGPMm2NjCEhdue24n8fek6LTtcLm5RXPaZ9sge0gmgi TFw4mMc5Kg7GYALgAD5h09K6GonDldhoKKKKgAooooARmVELMwVVGSScACstfEFo929qkV00yhSq eQw37gSMZ6dDy2BweeDjTkCGNhIFKEHdu6Y75rNjna51W4+xXNsVWCLc3+s53ScYBGPzrSCTTbEP uby5RAfIMCsdq5IeUnGcKi5B78k8YJIwKwf7Iu4tahul1C7N/Jjzf3gEYyrHYRt28hVGQM/KCQMi rlxrMlrqUcN3bM17FCu2OE7xNvYBmU9RjYeGxnkDOKgl1ZpXsZLizkS7h5dJsRkh1K/uwCeQSP8A aCq2M5weiEZRWi3/AK+4TIbSOee8QSF7u2muJiYpyq+VMFwVbCcYw+Cpw2c+51UtZdQ+2G5kigim nCr5XMmUwOHOMYZSRhcjqD3qs+nCF7OUweWr3BJWGeTzZNyOctIzKc5PQ9Ome1V9R0u9jtdO8uWQ TveZaFmE8Q3FidythmAB5weBk9s021JqzsBItxf3clyIPImvLNIw7RzgOWVpA3GwgFhu4PTd+Udu LqSSyeGa6a1aRniWFEBOUYszM4UnJbrgcnqSRiXTj9qRYbjTZ4b20lkwYGRV5LcoxI3KN2MdAeCM iltJg9+8N4txEbQSb2VnyRK4cbig2jAAzz3+tD0ukv6/r8wKU+nXd1K0FtPq9nOomaPbMkixybwy sVZzu+WQZGcemDyJEnkEMEKyXcSmTcFLofMbzY2QLvLEfKwwM4q2/wDZB1AMyXFxFJE6q4SWdWbg nBwcHCjBHUA+grntR8SeH9LmY2l9MsEVtIpnVpBGjq0aEBiwUsoAJjXnA9K0hzVGlZv5C2N5X1aS 8iZTcNxOoJeHcoEgHK7cHGB/FzxyOaxNU0q7u7TSblbvUbeW2sW3TNJGqFP3eSwU4wCAx+Uk7QPp s2DRzRW98lrqJtpPNCt9oIJ3yjbwZMj/ADmoZbfUYpNPgXQL25t/srQzsdRVdjHYMEF+VwGzj06G lCXLLSy+7z8wPDr208Sf29ZaXeXlzf3F48M08VtdFyLhkIXcQMKwQZOOQOc+nu2nmITadbfZ77zR YlghvRuK/uxux5mcZ4+teV39lrdjq9vd2ctvaNEiTFZbiRA7upjMhYk5ZVMZ44C7flJJFbnhvWfG UWoyTzaJYlYbby48yyJJKDyGPmPjGIJAOByB/Cd1enjIutBOLSsu9tSI6M7y5hvPtt0LKC/jm8hW i3TRsolIcBm3FiOFAyO1ZWh391rOmTXtzBqLn7bHGD5ixBiDEGO0FeNwO0nPy4PBJFR65rGrWEsb G60O2M1shjn1PUmtRwW4IQkOxznhsDHfNcabh7Hxxa3WueL9INqoinudNsJJXheRiVJIO7cRw2WO T1wMVx0aDnF7X6bt6ehTZ6NcSRWqXMVxHdLIs6zgNdhWdNwYcGXk8FR/uiqFrFHq1le3Mr3Caal9 EieddOfPRfLV3c78FTzjscZ5BFNu9VXVbfUItC06UWkkMZN3JbGKEKrFnZc8udrAqAMH1rd0q1s1 ubi2RpRGkodYGtxEhwkfOAi5xxx9DjpWDbhG73/4b7h7kBtWuNOt5hLcN5bwptN3IPMfeoJbnjqe MZ9e1Eliwnkl/s6wJjvUzufdu3Iqckp/tZz6ir2v/wBnw28c95FHzNEDIYd3AcHBODgdetVLjS44 43mS0sVE9zFIIHgCtjci8t+AJ+Xvj3rKM7q76/8AAGJ9l+wa/Yk2dlBFcSnaYz8wkETDA+UdVHT/ AGSa6SsWS0b7XbRrpljEBIrtOjcpg5AHyDJOMYyOCT7HarGq72GgooorIYUUUUAYer3FotzE9xaG SOKYRSOxQK2UJC4Zhu5YHpxya5IePIdZ8RajY2KsLaBITJdgqFXZIxYbhIBj3Deox3rstesbS4tD NcwRyKhXcZMEBQwY4Vsgk7QOnORWAulW+nwXbw2EcUsu2V5XjVI1Jdi0bFioZSG25HUE89Md9B0+ T3lrsvvJdzZtbiaK3kubdEMVzOm0yzNI6Z2R4I56HJxu4z25p18l7Np0bXlzFa5aN9qW3mSK4YNh RuYE8dge9Y1xf6MH0y2uREb0gNHJFC5MiJGSHDKMgBlBPPGOemaktFsZ78SXkz6e9su0RSXTGQMV GS0hJGMOQoB5DZ6gbZ5Le9b8AuXoWgN9JbXE9/MLeNJI5pWeMoTlApChSxPJBwSckdhmhay+ZaQz apbJcSCFZA13MqlhsJOwFemGbliDkYYjAJdZyW6X1rfSGVYHkln8663nZwwUKzkg7kYfdJPy9x91 Ly3Z1sjcyzwLFcG5jEcKgW6HzHTepySRt5wOACOOpqyTt/XUQsaQSwQSSQz26S3Mqx3VzdsrwkmQ 5QZODhcds55yM5pWNrDp+pFLKWa4hvpZVlS3uY1c7M4y/wArFiQWBB53Nk8DdpC+maS3vZLi3tIh J+5iZN0coc4MgfIyfmJx2HUd6p3C2OsRwanBqdmLi7w1rcMjRPB8m4EAvlc7ADwCQxB44qot632+ b/r5AaNzYyw3dk9mup2375z5YlidGZgWZiHLEtgNjkAZzz0PkXxT03VdLvEuZLeaDw/CR5EPnofM lYKruwGcMdx5Oeg9ePWGvYLqztriJ42cyx4RNUdpASwUqAcDdyV6j61ZNrFc3kyjTbkIqNFMTIhe XeFOCxfcAAFwQc+mMc3hsQ8PUU5K/f8Aq4NXRwOj+MBqs8aRjU3tZryKOLymaQeaZInZGcfKCAWz 2wwOV7d7eWNve3cdm8E8MswDM9xOHJjRgWVRuYgndgkY4J54FcVpegzWUd2nhttRk02S3MZsppxF tYbfnL5JDYduMAHaOuCKi1D4raTpcYeHUbi5v2kj+2oLZXEQjZQ6K4ABBywz8w+bgg1tUourP/Z1 /XmJO25v+ONC0620e5vYtNlu5oYGJikmkMbRgEhTnK4U8qoxg9Otc/rVlpl18P54dKs18yOCG5M0 88aSyTSSODDIzkZKnflWPPCgE11trcf8Jh4aglFvHJYCM4llnBMjqhG4EZGA+RnI6Z7YPnniPVtO 0awudOxFqUE0CO1u9+8jyTbpCVyRksCyEkDqrDjOKMLzu1PVyi/66hK25w/iLTL+2s54pLPzblI4 mvJWcEW0gEh2oxJ3RlGBO3IGwc9qi0v4dazqlnLqUFjtt1t1uooSHbzUwT8vy4ZiVChOCxbjABx6 nZ6JoaarY+JXdtOiWG3kFlYWjRJu3MuMnG7HAJI5G7GM8dnPDpljpUd5PN9nsYmjgjgYlYUiikOM qe+0NnP5cV3TzOVNKMFq/J79iVC5z/g6y8SxaHLcapeG7e9itkxPJ5bQA4OwJ5fHyyAHPcHiuktr y2F7eQ3msPayNcKPs0rRxyMwRc4IGWBAAG30PPpLCpuTeQ2FlG1rJcxyFn/dJgJGSNu3Jzgc47+1 VX8y2M01pptmlzJNsDoSRCNyx5ICcnK5A68ntk1485+0k21ZvtbyLWhJcXxKXEDRSvp8eC5njm3g DO5CdrZBwp55KsRXPw+LtFvvF9vpUdlpm8RyIJCQyNJhHPRcrtAYEOFOeB79O1hcwp5E1zIY2wqG KQpl3k5IA5yFG4kk8kngCqN5pWl2lxNPBY2tvKl2zLiNVEh8gMcgdc4x+J9TlU5UtU03vbX8QdzS 02SI3Sny7OImV44vLgUNIFGSykORj/6wODwNysTSbW2sNSnt3ghjvXVpFeKLarxFyeOOCC2CMnsa 265avxaFIKKKKyGFFFFAGFq4kF5i5EJsnj/dyTrvjikGc7kA5yMYycZyOuM0nt7WTXbe1SW1I3qZ Ft4VUZw525LE8+WcgAZAOSelaWvIkttGtzZie0jkWWbzApXaM5wCc56cYORkd6yybN3zAZb3TWmT yIoSc+aQVKhywAVVx8uR3UE4C11037v9f1cllbXNM03UvFQnuZrC3NjauCs2z97JIUwX55UBPZhu BBHFPXz9MRLqG0DWsR2wpJ5rHOC7sAQG+bgAkOcjPQU77Q9orXllZxRxNeeUXluFygIVX80Z5GQT wxOcHGM1qfb1huDPqQdmjg86LyI2eILzuYEE84IGWA46fxVo5SUVHdLoBh3Pi7TtLtrK21GNobe2 iWRmjKTLIUAG1QhJGH2nJx93tkZg0nVZPFtxJqdxY3celJIyWs8KnMm1sozR4LHb8w5BU7iMEcnR lb7dpzQyxtDdi6kicCMPHveTC7uhxnaQ3HKevFP1qyvIXghi1K3tYriZWdTB+7zGARkFshW2qpww HTuTVJ01olaT6/5C1OcXxDLaeNLlPts0ltC5JSdg2xySvCfIFzkZGSe+OTXT/wBuWl1Lb3DarpZi hCXCeafKJLK64JLEqQDnpnnHFVrWaR4Ir+4s7WC5vR+/vTMGMGQVAG3BUZAQc8HqSc55LWNO0HRt KVtI1HSZNUtZEj+z2kjmWcmRRsZTK5YDJ+8Gxz0BIrTkhVko2s9tNfX0FsTL4+tLnxgNJmuFS0nv RHbxWrMxZzJCA5dT90t53pz1yTxb0nxGh8Y6xp93YLf4vBHB9mj8/KMilGaWRsDgYK9NxPNeM3Oo arLqMmoq0Hnm7cqbaFUkVt3/ACzdckKHIHBxk9ec17v4N8W+EV8Grd211aWcdlEEvFcBHVwOSQCS dxyQeck9zmuzF4aNCmnGN76adxRldnUaVprW2jrbzbUmePa5jAyoxgDJznA45yPw4rzzxb4N0rw5 pX9pRW97fMgkAgluHW3jypJZipBQFguST1x06jv/AA/4jsfEtpJdWHmeSrlVZwMSDpuUgkFchhn1 UjtWZ8QNastL8K3dtcsGl1CJ7WOIMAx3KQzYPZRk/kO9eZh51oV+XW7eqLaTR5d4a1m+0f4cXWoS 6t5Goi6jWVnv/NnChjhfLcHAIbIAJyOfrzV/Y21o9rq08kElle3AS0gG8Czctz5mBtwVHzYySOBj bmrWl+AvEesvJ4uFjbfZVV7iGCcjMxXJUmMjBX2yOB+B4q8uJNSdZ5YoYhcylgIYlJJLp1xjPU8D GDkdzX01GnCVSThJb626eXy/4Bg3ofQemaa2n+HpLrXpLR721JdprVCqS/vZvlbAXAOcdgDt9MVv 6fqPh/R5EW61XTUvpV2usciBU7kcdASRkt1JHTgDyvwBb6nrWvhL+21BdNtC0RgUZJdRkK7nkjDc kkc9wMLVjxPBd6fbvJDp8UCSia4nnnwjPEVCwK2HKvlnGQQwyfXIryKuGUqrpylq9dLfcaJ6XPQI Nd0/7PYWmmai2JLdXnlsgs0cARFyDhThiqkAdsZI9dOOAWS2sAkuAJZ2uJIAgdlTcWDNgFichASS T161w3heyvbzwnoSQ31ncmGXzbmBriOVirFd8ZRVySq78DcDxg/3a7i2t7K+e+vbJLIQ7YlimeJG jIA3kgjHBD4yehz9K5K8IwbSff8AOyKTuMv/ABBp8F1HeXRnSOG3eRYpIJVJJOA2Mc5G7tlQTnGa zS9stnHFGLKC+MUs8nmTrLLvYMgQfNyMNwdxChQDjiporTTTrky3EmmWYELxyC3VI/tDOADnOd23 LD1y3uRVqy8RxyhL94XYywJHOIo5GEToSX52/MAHJyP7vuKi3KvcTf8AX/DgXbSdrzWQ731rIsKF FijUZLsASw+Y9BgZ92FbdUTfwvcWqPFMrSyHyS8eA2FY5yenAPofwzV6uOputCkFFFFQMKKKKAMr U7tINRsoriWKO1YtKzSAgZXplug+ZkIz3HXOAca1jjS30y1mEl7a3kSyRwRSjaGCBmYjAyuQTyxG W+7WxcXLR6u8gdGMMSxrbgjczSOo3HPRRx79fYHI1C1/0KKxiA+028MUl3NExJj2DhBnOAR5nHT1 BDnPXT2S/r1/r0JZHYaUzw3VlEJIEBkt7oyBWBi5KKc5LNtZeQQoBxztxVzzhfafZwQ2ymJpVMu1 fKin6/dyCSDgPx/COvYta1utsulXT7iYzFFdmU75A0bHDgghhkSdenGB3qGHUNDGqTGZ45t0UbhJ 2M8qOeCqqQTjDDOO596t3lrv1/r+tLAKWup7eK5exaIfaRGwBYSMryq+BwuMHjJIGQ2M8Z047+WG 8jsYbe4dgWkkEkqOyr2Gd2epBGewP4Z8qJPex2z6TbOVBuDb25jEqgYMayZIAyTk4JBIx0yTDCDL ZQWEdo8N2r+Q7xh4GZUO48ldrZX3I3MfchOKa/r79wOCkutYvvGWq/2bqcqw2tyzzWcsmwhDIwIU hscHJXnOenrUN1plncNr13PaX+mWwZJVllRUuI2dJHYFvMP7xiQrDG4gKedwrrtfs9Ttobm6iWSX 7NL500zt5Z8hsO0T+VgsVbJ7rhu+TjGvtG1r7ZqN1eWl5d6bDcITDPqcjpOpkDKDCCwZgjxqM7QD HuJY816dOsmk00tv09P6ZDR5VCJEYWt5cSw6jARFDHMhCl1kGRIGO5PlYkrgHjuSc5+vX91ZXF/H DdLHFqLN50VsWRcb9+3G47k+ckZJPUHpXR+INR0iDQi8Qig1O6BV200GO3UDB8nYwzGVK4zwTvfq DWHpk3ii50XVkhtriWxkH+mXCwqEBB35eTGdvynJDDqMk8A+3Tba52rK/XT+vIyfY09I8K+JNU0e y1DQmnMKwSPNIxeKJHUkBUYHL4+XAGRuJHTdXcfDDTdHv/EKyaxcvqGrx221IrmGXEUqkiVGZyVd 1BXGOgbOPShBq1/Zy2vhrS7G01g2GxbS5jmlCg7AN8ZjKkYbeHI56jvVHTdB8T23iKymvbqKO5kk e42T3ggZVRRHIzA8qSAoDLnp0AHHDWlKrCcZSUb7d7b/APD7FrQ7T4ueJde01TaWW+10oLGLm5jK lpd5OU55AwvUc8jOB14Oy8OWF8J7Ce3ktreXU8I8l2JJLeOQL1VW2nPljLehXk8A+o6H4E8PJLfR 6pok0txcTMQbp2uDs3lV+YDgHZuBPYjnIOMP4j/8I94b1TTrVYTHLe20kMgWMysygr5fU56hhxzz 0ziuPC4iEbYeinful+O7v1KkurOj0Q6X4dt0ewlS4NvEIrx4ZUCyhWdd+C33zgscfTuK0PEEllb+ FNPi1byFjZot63ce4oMfMAowSQDt45wT71xfhDVNMbwXqU9hY6rp2nTtMlvMZJJQGb5R8qjaAScZ xkHjPAaupbS5LUXR/s+yNuUaeSJsxOsQUrhsbgd3OB0GCRgnA46tPlqtyvdP5v8ATqNPQv6TpxuL OKwkWNbJYVaREBBkYxptJJYtj7w4xynXtUM8Zh057KHTbSdklFrJcMPKO5sfNgrkFi/ByRk59Aa+ mXiXOmmHUrW6s5Et4rdHE8UQA8tfukMCck5wf9nIHSpZZLaQXv7yB42vITsu77cAAIs5UFgw4J5P 5YrK0ufX+vxGSPqVroz3tzeQW8EjLEHhhlHmKuWzgqAWI6/lznApfCWtWuteHrl4lJ0+J50M20qr Lub7nXcNvfOajhshqWlarprxQT28zktDb20luJB5aEbXzhGPynvz7dI/D0Ph2y8P2tvHcGwjZjHL Ys6xO02SrKyr8zNlT3JYDqRRJQdN6O91+QdToLa7snuLezSK4hMDYiVoSqn5GHpwMBsZx04rVrmN L0yH7bp9wpuGuIIg0wngCFcowzkqCWJJyeScc+/T1yVklKyKQUUUVkMKKKKAOQ8S6BpmqeJNMe8h k3tu+aKJcttVtoLAbsDceD8vOetPksJtPa8htNRnMC2cj3Zu4Q4LEfKwbKkk4cnlhx2J5s6r9ri1 OPydPa5ke4WWJiV2YEZXqSCGU7mC8Ag9ck4hnhEM1xJf69KlnbrEJ3kEa/MpYohbbgk7gWHc7cYB IPdGUnGKv0236knCePrjxNd3ukzwwRWVxm5tZhv82CVFyGc542lQ4wVyN/XJFXvCGneMotK1K3vI oTZRIYo4b4mSclVypUL90YKkKeh6AV0BSRvDMVxYWcBWV5p4ZFYIz7w+Ay7Bgsp24OCDtzyMVrX1 1atqGn6hFbs2WCvIYZAWQg4424IXJbJPADY6nPTLENU1SUVpf8Hcm2tzOkvpp76I6tZWiR3biK1u zJ+7G0k45G7c3zHHAK4Gc1fuoHK2drq97CgVXZDEgJZlAUf6zcWJDk4xnPr3rvdaZJeSAT2jQ/bT 5sc1x8gjMRLNsORy249BnJOeayxFZI9udO0+x1C8kllAiRRIsSCWMEBuMAAZ5xyenNYKN7aW/rz2 GWdPvlt9Ilv5b0eVu865t7cImB5QA5TkHcFHB68c4OfO9c+JNl5t3pGkLD5cTD/SJ7mVDiOT7gVh 8xK7QBj+Ennt6Mnh6yvNNsdSvdMsfOUR7E2KQd7ANvbBzuBzjoMkc854rxr4NNlZTx6R4dsDJFNH cp9mkYTP5khAUjb8wVh36AgDvnrwjw7qWnvfyS/4IpXsY2v+CZtc8V6jPotqkltceXIoRpFNsuzE h6YJc5IGcnPAOTXR6h4EN74Pjjnm1X7Xdw+bcytJGfMdYmK5Af7o+UYGOFXkYxU3gTTtftH1I6+T eCaWK4a4XEzqZIwf40zhQFBAAA7Zwa6bSLO2mhMv2u8TNt9nCW8IK7CACxAjxuLKwB54H1FXXxVS DUVK6jbXfp/X5iUUeUfC59Z0fxBe29t4ZebU44/s1w7KVETMxbc5JCr/AAjA+8Ix0PXutB0rXJ7q ObVWjS7R7mOSYRKVbzCyjcxwxG5SBgKPu9ec762Umo3k2py/aDK1wlpaxzbQJIo23MWG0gciXtnA x3xVGHSL7Qra6tY3QMnkPFcS3bEBmuJMBsj5iMoOQfcmor4lVZOSSUnb/J/n2/IajYvWyTWU1tfP bQaXpKWqSytHMGULHuwrfKCSQ6kcn7p79ec8VeGJPiLq+5riOzsbW3QrK7FjsZ8khRjDMEIO5uAR wCa6HUp01XSotJLS2UkW1ZSk0JaMYIBBLcnI7e+QRxURv4bfw5Py7ypbyJO8t1EWn+U7yTvGCHLY 7dcYDVz05yhL2kdJbenn5jeugnhnwvNpGlroNzdm8hS0BZQjxIysz5X5ZCMkcZ5Jxk1nLpzf2TcT TXMYuZJ1jexurslARIFADK524xjJBIA4xXU+F7Nf7HS8jnizdwJta2j2qg+Yj7xbLDcck9cDisiL T760urca3dWCLFI93HK88hUsNo+YEgcZZsdMtkY5ylWk6krvW/8Aw+gW0K+k6pdDR7eIBR8yyPIZ InGVCnBLThsZGBx0A6Zq5FrC6ha3lrcXlnHPcMvm2rDYzqY03qrMxUnAYdx7jORZsp4orW2iTW4E +0226VmKfK+2NBtwRg46ZJqrfQ6ask89pdNZtbXCLG9ptfIZYwSygEkDHU46n1pXUpPT+rgS2tzA 99ZzWs6tdSWbz3kkBj3EEg8lvlADH1yAAOe1mzddltKtrcTeZeT7pDJGRJkOCOGxj5V4xjj1qHSr u5iVI5rtI7xLdItpsJQhAUHcefVjnnjP4l/2x2ht2XULI+XeyuwEZYhQ0mT8r5xj+fPeokun+fmM o6SL5PHk0ttCbbSpozC0MrneWiLZKqcgLlsDBHC8DFdvXN6Gl1JqBa9iKyx+ZIoVlYKsrkjduwyk hRhQOO5OeOkrHESvJeSGgooornGFFFFAHNapDqEXiCF4pj5FwCiM+dsD/KODyAzAOAccZ75qhdf2 dYRyWlrqUU1425XknMQIyxR2dgmSRnkEgkA88Vd8QeY+oLaQwfaLq4jPkxzDMYC4LMCW+VvQ4647 ZIktW02e9tbeCCM7o5GaKZAhUMVYAYGDxnAHYHng13RdoJski1CO7i2Wr3CTE3Ec7JHasqxsWypD liAPMXJzk8nHYUQb7tv7Gmuo4L6xhLRQJcESPwVSQsuDjHBAHU8jpl13YTvDqU9vK62gi2NFNI0h n8stuG4klFOSpxz347yXtpaQW2nQw/YwHkMrTOFEZ/dkGTB4J+YYHv6CkmrW6/8AAAq6tLc6jcpB HZxxzxnNxvkk2vEu0tGcKA+VfjBOCfrVnTRaW/kNYWMdvfTR7jaJL+6hU7S7Lj5dp+X5lHJI4+9i lbm3s54po9UszGLmRgJtpKsBKpIIKhQVC+3FXYL7db6FFZtbb8BWieQAjEZ4+Un37Hp+ZJWjyrb5 +YFRbOxLzw6lp4kSJbe2zHA53PkFm3ADqWX6ge+Ku3EFu2oxGwSS1n8iQpiExK7gDaPmXbnDP74z 2pwvoorXWHWzkRhI7bHtyyOwjXJJXIPIweexqs9jZ3NtJb/YLJ0kmKMkkOyWMPI2WAI/uNkdMYPX srt6u/6bARaYl7aadJPa3cs6SuohaZtplZUVOE2EgEqehxjnOOaPD919v0zSr+xU29vdoI38o4dn A6ssidtrAkcn3qzZjR7aQ6a9hajyN4RFiV22KQFAQAtjaw/I/Wsy30+y0+2tJYtKsmmiMrPvlbzJ dqvuYhlzywzz0zV6ST01/wCA/MRZie2s7q7uLq/1WMxSSSb2iBiIUy52/IRwCSfqKwPE3iuytta0 2K3ur+W8uVja2R4B5d2rMAo2hcsAGcg4yCBjPQ3datW1BJvDlmNLtbx5yJmK7isbhnBHyDB7DrnB 47jzm88E+IfCHiJDbXUcsOwSLcSMzRq5baitkcEHJUDnLcd8dmGo0pyvOVn0XcTb6Htbapb2l8f3 UiKyQRDMLIiAs4ySQAAP/rVlubO21O5hhubNLC4kMsmX3ESSLtL8MMKQGXrkHnoQVt3GoXbJPBc3 NhFIJY4nhC5fYWGWOXHykEnjt6HIFp21C48ONO9zbEyWhdsQHumf79eevd176f1oUc7ZXOs6Potk LXWNP1ELDHD9klChosr8vzbgWIJUHdjI54Oc0NI1+y1vxM9vPBaapdRF1umIixHuChEj3NyAUfgE 8HPc1p+M7G7vPC+uWk9xEXdFmVYoCCxwoXBL4A3Lg9cDn0ryTRtC8X+FtYnbT5dLW6FqwiYNHLuE ShiFGeXIIxxkgt0wa9HD0qdanKTaUunQhtpnswu5xJoe21vAY7ZRJHC8JUBzGFLbj0yOOh4PocOv LxYri9VpreG4kvITFFNIrPFgRAuVL4wN38PYiqdhcX1lpottUvrSG9hubdJQYxhgNm35twB4+YgY 6HtV6Se8mN3NHMkloLmFhNblBvJ8vpuLA4wOpH41xNWfT+mmUV0e4je2uW1ZkitrxrP9xCGDQsil QAVJ3Flj55GM4qwzldO1KC4nvi6K7xEROPlZcljhAOW38EHHaqviGx1JLNbm1m1FWjR1kD+SRITG yKxCgksCQPfJz0BE2ttNGs08kht1vIGjLWqmUPxlckRj+ENzngsO1Oyla39fgBrabsN4XMt6JmjU NFLCQoALY+YgnqW/iP8AStesfT52e6P2t7rzGkZYS6ugKjdjI2qucDPOT+VbFcdX4ikFFFFZjCii igDKupkg1OSdER2t7SSRwpG4nK4B444U4/Gqb3Fi66dp0hFwoALyeWdsvljgKQPmYPg4GcYPpzq3 enJdytIzYbyHhXKg7d2Mkd+3rUEelT9Jr+Ty1CiOK2HkqgAxgckkHjqeO2M1vGUbasRn20lg1tEP 7VkjuGJdoFlLMGL7sFGycq3HQEnOeuKqWTBHNwIbi8trFfsGx/lLykKCyLIehyqYLDnPbk9Ba6al p9n2NxDAYPlG3cMgg4HAPB6Dv2quND8u0+zw3kqKQu8FVYOVAGTkZ5wM85wOo61aqR11FYyNUmmh sLpZ7cw28KzTOMo5PmM4G5c91L9CfvA4PIqNtQWO002O5lsrpJJPnilTy2ClGAaTOf4SCcgdCQT3 2rnQkvrxLi7lEirsbydn7vzFbO/BJ52/L9Kn1DS1vmBWUw7kkjlKL8zI6gHB7N8q/NzwCMcghqrD RP8Ar9QszHjvXtlvtLjtLW2lDuwaVhHEwcEg8rk4bjhSMDr2qjrqS/Zorv7W0A802NlDcQLcf6S7 eWrFiCQu7ueduemQB0Ntoa2hzDdzg8qWfEjFOy7nycDjvjg8ZJNYmq+C726jRdP19oCk5nX7VZR3 AifcGBjA2bCMYHXgn1qqc6fPe9vv/wCCDTsaGn2Nrb6el1es0sbcxIwyNhLMg2Ko3PhumCc5xUEs Wm2+iPHLH9kuVtWXzNjQlyB0LYAYnGSuT36jmtW00aC1ayYLEXtoipcRKpdsAbvbjd+dOura5uLl tyRS2u0AQvKVBPcsApz2GCccVn7ROW/6DsYt1pZTVLnzTK7XLwuLhlhPmKJIwUPyZ+U4I7c+uapa tpEc0V7G3nXVns/ewpbLGsrIzkKzAKCo4B5Gc5ByMVvto8bxxwjTNPgjV0b93g4CsDgDYOuMfjTN asrmDQtTGkpEsskDMkJBClwvIGOm4ADjoefXNwq2aV/60FYq6fNazXlwzJqEa+XEI13zMdm3cCdp PPzev4DvWW6RdPS0n1C9RhLFbrB5XzYKJuUjZk8F8Z9M9RU6aTexXlm8aG2gz84SdpWi4UcZAJzt UHO4Drg9RPfaexvCWnnLKUmjka1EuH5BwVX5ThVH9DmneN9/6/ECDUF1AR/a9l5I8MytbJIItrA7 QA4Uqfvc47EKccYrN1WS0vo47uaxWeQXweF03sNjQgNtk2jb8oOemMe2a3nvr68sPNXT9myWIlXM gbhkY4Hl5OM4/A1RSB5rWzhkuNRQ/YnjbNoSEYhB/wA8/r+tOnJrVq1u3/ABlr7Vdl7iZbIK00aE JIJiFkXPJHl4/u9P7tVbWGzvLEl7WMO01ucSxneY8RqCCQD26gY4Iq5Z3F1OY1nutQjLRxtxZ7Ru YnKnMfAHFQXml3L+HLZGklnuIkiIRoYzhhjPBU+9QrJ2227gOVvONzYzancyxmPbi2USlVZnABYI SDtA5POc8msqy1pH1SPw8Y8tFO6Qi6DQmVPKZiANp6Kw4+XjoMDNdFbp9hvWaT7U0bW8aoBFkJgt lcRrjjI/pWPrmkXt/rEJtMwyJM0qTlThT5SgNuwR1UfL/s9eRioODbjLa34gy7Yz6hcXOn/aWh8s LHJhVYtlo5Qcscdx6V0FcroFlqqa41/qVn5LzWzRyGOcPGrh/wCEEBgGO5xz0YDHHHVVhXSUrL8B oKKKKxGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFA H//Z Dan Seidensticker Greater Madison MPO GIS Specialist (608) 266-9119 (608) 261-9967 100 State Street, Suite 400 Madison WI 53703 US dseidensticker@cityofmadison.com 8:00 am - 4:30 pm (M-F) ArcGIS Metadata 1.0 Dan Seidensticker Greater Madison MPO GIS Specialist (608) 266-9119 (608) 261-9967 100 State Street, Suite 400 Madison WI 53703 US dseidensticker@cityofmadison.com 8:00 am - 4:30 pm (M-F) Contact Madison Area MPO or Dane County LIO for fee information. Fill out the License Agreement for City of Madison Department of Planning and Development, Geographic Data Sets. Mail, email, fax or phone in the data request. All requests will be invoiced with delivery of the data. Three to five business days. 640 Megabytes Feature Class Greater Madison MPO Madison, WI Greater Madison MPO RoadsCurrent Dan Seidensticker Greater Madison MPO GIS Specialist (608) 266-9119 (608) 261-9967 100 State Street, Suite 400 Madison WI 53703 US dseidensticker@cityofmadison.com 8:00 am - 4:30 pm (M-F) Town of Berry Village of Maple Bluff Village of Mazomanie City of Verona City of Edgerton Town of Christiana Town of Vienna Town of Albion Town of Pleasant Springs City of Sun Prairie Town of Vermont Village of Cottage Grove Town of Burke Village of Mount Horeb Town of Middleton Town of Deerfield Town of Primrose Town of Oregon Village of Cambridge Town of Blue Mounds Town of Rutland Town of Roxbury Town of Dunn City of Stoughton Village of Shorewood Hills Town of Westport Town of Verona Town of Blooming Grove Dane County Village of Blue Mounds Village of Belleville City of Fitchburg Town of Madison Town of Medina Village of Rockdale Town of Dunkirk Village of McFarland Town of Springfield Town of Montrose Town of Cross Plains Village of Oregon Town of York Village of DeForest Village of Marshall City of Madison Village of Brooklyn Town of Windsor Town of Cottage Grove Village of Deerfield Town of Mazomanie Town of Springdale Village of Dane City of Monona Village of Waunakee Town of Dane Town of Sun Prairie Town of Bristol Village of Cross Plains Town of Perry Village of Black Earth Town of Black Earth City of Middleton Town of Berry Village of Maple Bluff Village of Mazomanie City of Verona City of Edgerton Town of Christiana Town of Vienna Town of Albion Town of Pleasant Springs City of Sun Prairie Town of Vermont Village of Cottage Grove Town of Burke Village of Mount Horeb Town of Middleton Town of Deerfield Town of Primrose Town of Oregon Village of Cambridge Town of Blue Mounds Town of Rutland Town of Roxbury Town of Dunn City of Stoughton Village of Shorewood Hills Town of Westport Town of Verona Town of Blooming Grove Dane County Village of Blue Mounds Village of Belleville City of Fitchburg Town of Madison Town of Medina Village of Rockdale Town of Dunkirk Village of McFarland Town of Springfield Town of Montrose Town of Cross Plains Village of Oregon Town of York Village of DeForest Village of Marshall City of Madison Village of Brooklyn Town of Windsor Town of Cottage Grove Village of Deerfield Town of Mazomanie Town of Springdale Village of Dane City of Monona Village of Waunakee Town of Dane Town of Sun Prairie Town of Bristol Village of Cross Plains Town of Perry Village of Black Earth Town of Black Earth City of Middleton The burden for determining 'fitness for use' rests entirely upon the requester/Licensee. The City of Madison and its co-producers will not be liable in any way for accuracy of the data or for uses other than intended. The City of Madison assumes no responsibility whatsoever for direct, indirect, special, consequential, exemplary or other damages. Licensee agrees to indemnify, hold harmless and defend the City of Madison, its employees, agents, representatives and co-producers from any claims, damages, liabilities and expenses arising from Licensee's use of licensed data sets or products derived therefrom. Data is copyrighted and licensed for use. <DIV STYLE="text-align:Left;"><DIV><DIV>Refer to the License Agreement for City of Madison Department of Planning and Development, Geographic Data Sets.</DIV></DIV></DIV> Display mapping, analysis. <DIV STYLE="text-align:Left;"><DIV><DIV>Dane County Road Centerlines with MPO attributes designed for Transportation Planning purposes.Last Reconciliation with DCLIO in progess as of 4/1/2025.MPO attributes include:Planned and Existing On-Street Bike FacilitiesFunctional ClassBiking SuitabilityShoulder WidthTruck RoutesNational Highway System (NHS)Median TypeSidewalksLanesPrimary DirectionThe reminder of the attributes are from the DCLIO centerline file.Directional Coding Note: Divided streets are generally coded the same for both primary and opposite direction. For example, a bike lane on only one direction is coded as showing a bike lane in both directions.</DIV></DIV></DIV> Greater Madison MPO RoadsCurrent Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.28388 1 -89.840846 -89.008092 43.294198 42.844311 The data use the polygon topology rules: Must Not Overlap Must Not Have Gaps The data use the polygon topology rules: Must Not Overlap Must Not Have Gaps The data set is 100% percent complete. The attributes were reviewed by staff to the Madison Area TPB. Feature Class 39220 RoadsCurrent OBJECTID OBJECTID OID 4 10 0 Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. ExtID ExtID Integer 4 10 0 Unique external identifier DCLIO FrAddL FrAddL String 11 0 0 From Address Left DCLIO FrAddR FrAddR String 11 0 0 From Address Right DCLIO ToAddL ToAddL String 11 0 0 To Address Left DCLIO ToAddR ToAddR String 11 0 0 To Address Right DCLIO FrAddLActual FrAddLActual String 7 0 0 From Address Left Actual DCLIO ToAddLActual ToAddLActual String 7 0 0 To Address Left Actual DCLIO FrAddRActual FrAddRActual String 7 0 0 From Address Right Actual DCLIO ToAddRActual ToAddRActual String 7 0 0 To Address Right Actual DCLIO preModifier preModifier String 50 0 0 A word preceding all other elements of the street name that modifies it. DCLIO abvPreModifier abvPreModifier String 30 0 0 An abbreviation of the word preceding all other elements of the street name that modifies it. DCLIO preDirectional preDirectional String 50 0 0 A word preceding the street name that indicates the direction of the road DCLIO abvPreDirectional abvPreDirectional String 30 0 0 An abbreviation of the word preceding the street name that indicates the direction of the road DCLIO preType preType String 50 0 0 The part of the address preceding teh primary name that indicates the type of street. DCLIO abvPreType abvPreType String 30 0 0 An abbreviation of the word that is part of the address preceding teh primary name that indicates the type of street. DCLIO BaseName BaseName String 100 0 0 The official street name assigned by a local governing authority. DCLIO postType postType String 50 0 0 The part of the address following the primary name that indicates the type of street. DCLIO abvPostType abvPostType String 6 0 0 An abbreviation of the word that is part of the address following the primary name that indicates the type of street. DCLIO postDirectional postDirectional String 50 0 0 A word following the street name that indicates the direction of the road DCLIO abvPostDirectional abvPostDirectional String 30 0 0 An abbreviation of the word following the street name that indicates the direction of the road DCLIO postModifier postModifier String 50 0 0 A word following all other elements of the street name that is not a street post-type of street post-directional. DCLIO abvPostModifier abvPostModifier String 30 0 0 An abbreviation of the word following all other elements of the street name that is not a street post-type of street post-directional. DCLIO fullStreetName fullStreetName String 406 0 0 The concatenated street name. DCLIO abvStreetName abvStreetName String 262 0 0 The concatenated street name with the pre-directional, pre-type, post-type and post-directional abbreviated. DCLIO civilMunicipality civilMunicipality String 60 0 0 Name of the civil municipality that the centerline is in. DCLIO FIPsLMunicipal FIPsLMunicipal String 5 0 0 The Federal Information Processing Standard (FIPS) code for the municpality to the left of the road. DCLIO FIPsRMunicipal FIPsRMunicipal String 5 0 0 The Federal Information Processing Standard (FIPS) code for the municpality to the right of the road. DCLIO FIPsLMunicipality FIPsLMunicipality String 60 0 0 Municipal name to the left. DCLIO FIPsLSortMunicipality FIPsLSortMunicipality String 60 0 0 Structured attribute to sort by community name to the left. DCLIO FIPsRMunicipality FIPsRMunicipality String 60 0 0 Municipal name to the right. DCLIO FIPsRSortMunicipality FIPsRSortMunicipality String 60 0 0 Structured attribute to sort by community name to the right. DCLIO FIPsLCounty FIPsLCounty String 5 0 0 The Federal Information Processing Standard (FIPS) code for the county to the left of the road. DCLIO FIPsRCounty FIPsRCounty String 5 0 0 The Federal Information Processing Standard (FIPS) code for the county to the right of the road. DCLIO ZIPL ZIPL String 50 0 0 ZIP Code Left DCLIO ZIPR ZIPR String 50 0 0 ZIP Code Right DCLIO RPostalMunicipality RPostalMunicipality String 255 0 0 Postal municiaplity name to the right. DCLIO LPostalMunicipality LPostalMunicipality String 255 0 0 Postal municiaplity name to the left. DCLIO StateL StateL String 2 0 0 Abreviated state name to the left. DCLIO StateR StateR String 2 0 0 Abreviated state name to the right. DCLIO FrElevation FrElevation SmallInteger 2 5 0 From elevation used in a planar method to represent intersections. DCLIO ToElevation ToElevation SmallInteger 2 5 0 To elevation used in a planar method to represent intersections. DCLIO OneWay OneWay String 50 0 0 Indicates the direction of travel for a street. DCLIO B Travel in both directions. DCLIO F Travel only in the direction of the from-node to the to-node. DCLIO T Travel only in the direction of the to-node to the from-node. DCLIO N No travel in any direction. DCLIO SpeedLimit SpeedLimit String 50 0 0 Speed limit for that line segment. DCLIO RdCode RdCode String 50 0 0 The administrative road code. DCLIO Interstate Highway Interstate Highway DCLIO US Highway Federal Highway DCLIO State Highway State Highway DCLIO County Highway County Highway DCLIO Local Road Municipal Road DCLIO Named Private Road Named Private Road DCLIO Ramp On or off ramp. DCLIO RdStatus RdStatus String 50 0 0 The type of linework source used to update the street centerline data. DCLIO Constructed Arcs developed from orthophotography DCLIO Platted Road centerline identified in the platting process, but not yet constructed. DCLIO Under Construction Road segments that appear under construction in aerial photography or field survey. DCLIO Presumed Vacated Road centerlines that have been vacated. DCLIO ROADID ROADID Integer 4 10 0 Reference ID to relate to the street name table managed by the LIO. Dane County LaneNumber LaneNumber String 2 0 0 The maximum number of lanes per road segment. DCLIO TravelDir TravelDir String 50 0 0 The direction of travel for divided highways. Dane County SHAPE Shape Geometry 4 0 0 Feature geometry. ESRI Coordinates defining the features. ExtID_1 ExtID Integer 4 10 0 Internal use. MATPB BIKERANK Bike Suitability String 10 0 0 Rural road bike suitability rankings, 2020. Used primarily for the Dane County Bicycle Map. Calculated using a methodology based on that outlined by Philip Van Valkenberg in his 1993 Wisconsin Department of Transportation report, “Planning for Rural Bicycle Routes,” which relies on estimated traffic volumes, and the presence and width of road shoulders. These rankings were then adjusted by MPO staff to account for likely traffic volume estimate errors and to increase the uniformity of rankings along routes. For the purpose of the rankings, rural roads are defined as those having a speed limit of at least 45 miles per hour, without bike lanes or any other on-road bike facilities except shoulders. The following table details how the initial rankings were calculated, based the presence and width of road shoulders and seasonally adjusted (divided by 0.907 to adjust for increased traffic during warmer weather) 2018 average annual daily traffic (AADT) from StreetLight: Shoulder Most Suitable May Be Suitable Least Suitable None Under 1,292 1,292-1,748 Over 1,748 3ft Under 2,686 2,686-3,634 Over 3,634 4ft+ Under 4,250 4,250-5,750 Over 5,750 MATPB G Rural - Most Suitable MATPB H Rural - May be Suitable MATPB I Rural - Least Suitable MATPB U For roads within the Madison urban area refer to the BLOS study competed by MATPB in 2014. Local rural roads are not evaluated. MATPB FAC2004 Current Roadway Functional Class SmallInteger 2 5 0 MATPB 1 Principal Arterials - Interstate MATPB 2 Principal Arterials - Other Freeways MATPB 3 Principal Arterials - Other MATPB 4 Minor Arterials MATPB 5 Collectors - Urban MATPB 6 Local MATPB 7 Collectors - Major, Rural MATPB 8 Collector - Minor, Rural MATPB 9 Private Road MATPB Current Functional Class as defined by MATPB and WisDOT SIDEWALK Sidewalk SmallInteger 2 5 0 MATPB Expected presence of complete sidewalk on roadway. Sidewalks that do not run the full length of the road segment should not be counted. A road segment with incomplete sidewalks on both sides should be recorded as having no sidewalks. A road segment with a full sidewalk on one side and a partial sidewalk on the other should be recorded as having a sidewalk on only one side. Not Expected • Urban streets where you do not expect a sidewalk are given a special code (10 or 11) so that they are not flagged as deficient. Examples include freeways, ramps, frontage roads, alleys, median breaks or turn lanes, roundabouts, and private streets in the network that are more like parking lots. This should NOT be used for judgment-based land uses – for instance, a street with sidewalk on one side and a park or cemetery on the other side with no sidewalk should be coded as 1, not 11. • Intersecting street segments located between directions on divided roadways should be classified as 10 No SW – Not Expected. Rural vs Urban • Streets and highways that are generally agricultural, or open space in nature on both sides are rural. • Suburban and exurban subdivisions that typically do not have sidewalk are considered urban, even if they are on well and septic systems. • Roads that have rural cross sections and limited access but have development backing up to them are considered urban. • Partially developed roads (intermittent development, development on one side only, etc.) are considered urban. • Roads that have curb and gutter on at least one side are considered urban. • Urban streets were initially identified as being completely within the 2010 Census urban areas buffered 500 feet, and then manually rationalized, adding Deerfield, Belleview, and Blue Mounds. Unevaluated • Road may be platted but not built yet, have an upcoming reconstruction project where the addition of sidewalks is unknown, or staff have simply not evaluated the segment yet. New segments and NULLs should default to 9. Directional Coding • The sidewalk definition is coded to both the Opposite and Primary Direction on roadways. For example, a divided highway with a sidewalk on one side only, has the one side only code assigned to both directions. The tool for summarizing sidewalks only includes primary direction mileage. Coding both directions ensures it is included in the stats 0 Urban streets with no sidewalk or path MATPB 1 Urban streets with sidewalk or path on one side only MATPB 2 Urban streets with sidewalk or path on both sides MATPB 10 Urban streets with no sidewalk, but sidewalk is not expected MATPB 11 Urban streets with sidewalk or path on one side only, but sidewalk is not expected on both sides MATPB 20 Rural streets and highways with no sidewalk MATPB 21 Rural streets and highways with sidewalk or path on one side only MATPB 22 Rural streets and highways with sidewalk or path on both sides MATPB 9 Sidewalk status is unknown or does not apply MATPB TRCK_RTE Truck Route String 1 0 0 MATPB L Local Truck Route Dane County Highway, City of Madison R Regional Truck Route WisDOT N No Truck Route MATPB Truck Route Updated Updated String 1 0 0 Internal use only. MATPB DIR_INDC DIR_INDC String 1 0 0 Primary Direction Indicator. Main purpose of this code is to avoid duplicating roadway mileage calculations by excluding segments coded as Opposite. Generally, all roads are coded as Primary direction. Segments that are coded Opposite are: One direction of travel for boulevards. U-turn lanes through boulevards where there is no crossing traffic. Segments coded Primary: Main direction of travel. Traffic circles, cu-de-sacs. MATPB P Primary Direction MATPB O Opposite Direction MATPB On_Type On Street Type String 4 0 0 Existing on-street facilitiy. MATPB BL Bike Lane MATPB BLC Bike Lane - Contraflow MATPB BUL Bus Lane - Bikes Allowed MATPB LSB Local Street - Bike Boulevard. Only signed. MATPB LSC Advisory Bike Lane MATPB OT Other. Includes streets with different facilities in different directions. Often includes premium facilities like counter-flow lanes. MATPB N None MATPB BLB Bike Lane - Buffered MATPB SH3 Shoulder 3 Foot MATPB SH4 Shoulder 4 Foot or Greater MATPB SHX Two-way protected bike lane. MATPB PT Protected Bike Lane MATPB BFuncClass Bike Functional Class String 1 0 0 Functional Classification of bike facility MATPB P Primary MATPB S Secondary MATPB N None MATPB Status On Street Type Plan Status String 4 0 0 Refers to Planned On Street Type. Plannning Status of On-Street facility. Programmed: Funded, will most likely be built. Planned-Feasible: In the bike plan, project was given a cursory look and determined to be most likely feasible. Conceptual: Project was suggested and may have merit but hasn’t been given much review yet. Planned-Obstacles: Unlikely to occur due to physical limitation. Generally do not show on maps. MATPB PRG Programmed MATPB CONC Conceptual MATPB EX Existing MATPB PLF Planned - Feasible MATPB PLO Planned - Obstacles MATPB UC Under Construction MATPB N None MATPB Year Year Integer 4 10 0 General year the bike facility came into existence. For instance, if a road was built in 1910, bike lanes added in 1990, and resurfaced with bike lanes widened in 2000, this field would show 1990 and the comments may contain “Bike lanes widened in 2000”. MATPB Jurisdiction Jurisdiction String 50 0 0 BikeLnWdth Bike Lane Width Double 8 38 8 Bike lane width, exclude gutter pan, typical width 4 ft or 5 ft. Include buffer in width. Exclude gutter pan (if curb but no gutter, assume 1’ gutter). If integral parking with no lane line, subtract 8’ from face of curb. Width included for paved shoulders. Rural areas generally coded as 4’. MATPB Signed Signed String 1 0 0 Lighting Lighting String 1 0 0 Source Source String 255 0 0 Source of bike/pedestrian facility data - paper map, ortho photo, etc. MATPB Comments Comments String 500 0 0 Comments MATPB created_user created_user String 255 0 0 Use who created feature MATPB created_date created_date Date 8 0 0 Date feature was created MATPB last_edited_user last_edited_user String 255 0 0 Last user to edit feature MATPB last_edited_date last_edited_date Date 8 0 0 Last date feature was edited MATPB Carto1 Carto1 SmallInteger 2 5 0 Roads highlighted for County Bike Map as Connecting Through Route, either 0 for not highlighted or 1 for highlighted. MATPB 0 Not Connecting Through Route, MPO 1 Connecting Through Route for Bikes MPO On_TypeP On Street Type Planned String 4 0 0 Planned On-Street Facility. See On Street Type (On_Type). *NOTE: if On_TypeP = ‘OT’, describe planned facility in comments. MATPB BL Bike Lane MATPB BLC Bike Lane - Contraflow MATPB BUL Bus Lane - Bikes Allowed MATPB LSB Local Street - Bike Boulevard MATPB LSC Local Street - Connecting Route MATPB OT Other MATPB N None MATPB BLB Bike Lane - Buffered MATPB SH3 Shoulder 3 Foot MATPB SH4 Shoulder 4 Foot or Greater MATPB SHX Shoulder Not Recommended MATPB PT Protected Bike Lane MATPB BFunClassP Bike Functional Class Planned String 1 0 0 Planned Functional Class of Bike Path. Segments are only coded if the the functional class is changed from existing. Use both Existing and Planned Functional Class fields to map entire planned network. MATPB P Primary MATPB S Secondary MATPB N None MATPB Null Keep NULL unless a change from current BFuncClass is planned. MATPB MPO_Speed MPO_Speed SmallInteger 2 5 0 Posted speed limits. Temporary field until corrections made by DCLIO. MATPB MPO_Lanes MPO_Lanes SmallInteger 2 5 0 Number of through lanes per direction. For example, a two-way local road is 1 lane per direction. Turn lanes that do not continue through to the next intersection are not counted. Bus lanes are counted. Lane counts reflect off-peak lanes only (peak period lanes used for parking during off-peak hours are not counted as travel lanes). Note this is different than LANENUMBER (DCLIO). MATPB Median Median SmallInteger 2 5 0 Bike LTS variable only. Cross section of roadway. MATPB 1 Divided MATPB 3 One Way. Named streets that are one-way, On/off ramps, and right turn lanes. This assignment does not apply to divided roadways such E. Washington Ave. This code does not cover all one-way roads, only those treated as divided roadways for the purpose of this project. MATPB 2 TWLTL. Two-way left turn lane. MATPB 0 Undivided. Most local streets. MATPB Wos Width Outside Shoulder SmallInteger 2 5 0 Bike LTS variable only. Measurement is only indicated for roadways with a bike lane. Measurement includes 2' for gutter pan and does not include bike lane width. Source is orthos and Google Street View. MATPB Parking Parking String 1 0 0 Bike LTS variable only. Parking is only indicated for roadways with a bike lane. Source is orthos and Google Street View. MATPB Y Parking on one or both sides. MATPB N No parking on either side. MATPB LTS_Appr LTS_Approach SmallInteger 2 5 0 Bike LTS variable only. Level of Traffic Stress (LTS) Approach for bicyclists at signalized intersectrions. This information is entered by MAPTB staff and is one of many varaibles used for calculating the Bicycle LTS. For use in Bike LTS project only. MATPB NHS NHS String 1 0 0 National Highway System. Based on WisDOT, 2023. MATPB, WisDOT I NHS Interstate WisDOT H NHS Highway WisDOT C NHS Intermodal WisDOT N Non NHS WisDOT AADT2018 AADT2018 Double 8 38 8 2018 StreetLight AADT. 2019 StreetLight AADT used for gaps or other adjustments. AADT is bidirectional. MPO AADT2018_EF AADT2018_EF Double 8 38 8 Effective 2018 AADT for LTS Calculation. All One-Way roads (OneWay IN ( 'F', 'T')) calculated to AADT2018 * 1.5. MPO LTS_Seg LTS_Seg SmallInteger 2 5 0 Reserved for LTS calculation. MPO Transit Transit String 1 0 0 Presence of Metro Transit route on roadway, 3/2/2025. MPO, Metro Transit B Travel in Both Directions MPO O Travel in One Direction MPO N No Travel in Either Direction MPO Shape.STLength() Shape.STLength() Double 0 0 0 dataset EPSG 9.1(10.7.0) 39220 Simple FALSE 39220 TRUE FALSE 20251223