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Table 1-64: Travel Time Index

Table 1-64: Travel Time Index

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Population group Urban area 1982 1985 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 Points change
Short-term 2000-2007 Long-term 1982-2007
Points Ranka Points Ranka
Medium Akron, OH 1.02 1.02 1.04 1.04 1.05 1.05 1.07 1.06 1.07 1.08 1.08 1.08 1.08 1.08 1.08 1.07 1.08 1.08 1.08 1.07 -1 71 5 72
Medium Albany-Schenectady, NY 1.02 1.02 1.03 1.04 1.03 1.03 1.04 1.04 1.04 1.04 1.05 1.05 1.05 1.06 1.06 1.07 1.08 1.08 1.09 1.10 5 17 8 57
Medium Albuquerque, NM 1.05 1.07 1.10 1.11 1.13 1.13 1.14 1.16 1.17 1.18 1.18 1.19 1.17 1.16 1.14 1.14 1.16 1.17 1.17 1.18 1 49 13 36
Medium Allentown-Bethlehem, PA-NJ 1.06 1.07 1.09 1.09 1.10 1.11 1.13 1.14 1.15 1.16 1.17 1.15 1.15 1.15 1.15 1.14 1.14 1.14 1.13 1.14 -1 71 8 60
Small Anchorage, AK 1.06 1.06 1.06 1.06 1.06 1.06 1.06 1.06 1.06 1.06 1.06 1.06 1.06 1.07 1.07 1.07 1.07 1.07 1.07 1.07 1 49 1 89
Very large Atlanta, GA 1.10 1.12 1.16 1.17 1.19 1.21 1.23 1.24 1.25 1.27 1.29 1.29 1.31 1.31 1.33 1.33 1.33 1.35 1.34 1.35 4 20 25 10
Large Austin, TX 1.07 1.10 1.12 1.13 1.12 1.13 1.15 1.17 1.20 1.22 1.21 1.23 1.24 1.27 1.27 1.28 1.29 1.31 1.29 1.29 5 17 22 15
Medium Bakersfield, CA 1.01 1.01 1.02 1.03 1.03 1.04 1.04 1.04 1.04 1.04 1.05 1.05 1.05 1.05 1.06 1.07 1.08 1.09 1.09 1.09 4 20 8 57
Large Baltimore, MD 1.07 1.10 1.18 1.18 1.17 1.18 1.18 1.19 1.19 1.20 1.19 1.20 1.22 1.24 1.28 1.29 1.29 1.30 1.31 1.31 9 2 24 12
Small Beaumont, TX 1.02 1.02 1.02 1.02 1.03 1.03 1.03 1.03 1.03 1.03 1.03 1.04 1.04 1.04 1.05 1.04 1.05 1.05 1.05 1.05 1 49 3 83
Medium Birmingham, AL 1.04 1.05 1.05 1.06 1.06 1.07 1.08 1.09 1.09 1.10 1.12 1.12 1.13 1.13 1.13 1.14 1.15 1.15 1.15 1.15 2 39 11 42
Very large Boston, MA-NH-RI 1.08 1.11 1.17 1.17 1.19 1.19 1.19 1.19 1.19 1.20 1.22 1.21 1.22 1.23 1.25 1.25 1.27 1.27 1.27 1.26 4 20 18 24
Small Boulder, CO 1.04 1.04 1.05 1.06 1.07 1.08 1.08 1.09 1.09 1.10 1.10 1.10 1.10 1.10 1.09 1.09 1.09 1.10 1.11 1.09 -1 71 5 72
Medium Bridgeport-Stamford, CT-NY 1.06 1.09 1.12 1.12 1.13 1.13 1.14 1.16 1.15 1.17 1.19 1.20 1.21 1.21 1.22 1.23 1.22 1.23 1.25 1.25 4 20 19 22
Small Brownsville, TX 1.02 1.02 1.03 1.03 1.03 1.03 1.04 1.04 1.04 1.05 1.05 1.06 1.06 1.07 1.07 1.06 1.07 1.06 1.07 1.07 1 49 5 72
Large Buffalo, NY 1.03 1.03 1.04 1.04 1.04 1.04 1.04 1.04 1.04 1.04 1.05 1.06 1.07 1.07 1.07 1.08 1.08 1.08 1.08 1.07 0 61 4 79
Small Cape Coral, FL 1.07 1.08 1.10 1.10 1.11 1.13 1.14 1.15 1.15 1.14 1.12 1.11 1.11 1.12 1.12 1.13 1.12 1.13 1.15 1.17 6 14 10 49
Small Charleston-North Charleston, SC 1.08 1.10 1.13 1.13 1.15 1.15 1.15 1.14 1.14 1.14 1.15 1.16 1.16 1.16 1.16 1.17 1.18 1.17 1.18 1.20 4 20 12 40
Large Charlotte, NC-SC 1.07 1.10 1.14 1.14 1.15 1.13 1.13 1.13 1.14 1.16 1.17 1.19 1.22 1.22 1.24 1.24 1.25 1.24 1.24 1.25 3 31 18 24
Very large Chicago, IL-IN 1.12 1.18 1.26 1.26 1.26 1.26 1.26 1.30 1.33 1.33 1.34 1.34 1.34 1.35 1.41 1.43 1.44 1.47 1.45 1.43 9 4 31 2
Large Cincinnati, OH-KY-IN 1.04 1.06 1.11 1.12 1.13 1.14 1.16 1.16 1.17 1.18 1.19 1.18 1.19 1.18 1.19 1.19 1.18 1.18 1.18 1.18 -1 71 14 31
Large Cleveland, OH 1.03 1.03 1.06 1.06 1.07 1.08 1.09 1.11 1.11 1.13 1.11 1.12 1.12 1.10 1.09 1.09 1.10 1.09 1.09 1.08 -4 89 5 72
Medium Colorado Springs, CO 1.02 1.02 1.03 1.04 1.05 1.05 1.06 1.07 1.07 1.09 1.11 1.13 1.14 1.15 1.14 1.13 1.12 1.14 1.14 1.13 -1 71 11 42
Small Columbia, SC 1.02 1.03 1.04 1.04 1.04 1.04 1.04 1.04 1.05 1.05 1.05 1.06 1.06 1.06 1.07 1.07 1.07 1.07 1.08 1.10 4 20 8 57
Large Columbus, OH 1.03 1.04 1.10 1.10 1.11 1.13 1.14 1.15 1.16 1.16 1.17 1.17 1.16 1.17 1.17 1.18 1.20 1.19 1.19 1.18 2 39 15 29
Small Corpus Christi, TX 1.03 1.03 1.03 1.04 1.04 1.04 1.04 1.04 1.04 1.04 1.04 1.05 1.04 1.05 1.05 1.05 1.05 1.06 1.05 1.05 1 49 2 86
Very large Dallas-Fort Worth-Arlington, TX 1.05 1.08 1.13 1.13 1.14 1.15 1.15 1.16 1.16 1.17 1.19 1.21 1.23 1.23 1.25 1.27 1.30 1.32 1.33 1.32 9 2 27 6
Medium Dayton, OH 1.07 1.07 1.10 1.10 1.10 1.11 1.10 1.12 1.11 1.12 1.12 1.13 1.13 1.11 1.10 1.10 1.11 1.10 1.10 1.09 -4 88 2 86
Large Denver-Aurora, CO 1.09 1.11 1.13 1.14 1.15 1.17 1.19 1.22 1.24 1.26 1.27 1.29 1.30 1.32 1.30 1.30 1.30 1.32 1.31 1.31 1 49 22 15
Very large Detroit, MI 1.13 1.14 1.23 1.24 1.26 1.27 1.26 1.26 1.26 1.27 1.28 1.29 1.28 1.29 1.30 1.31 1.30 1.29 1.29 1.29 1 49 16 27
Medium El Paso, TX-NM 1.02 1.03 1.04 1.06 1.07 1.06 1.08 1.07 1.06 1.07 1.08 1.10 1.12 1.12 1.12 1.12 1.13 1.13 1.13 1.12 0 61 10 46
Small Eugene, OR 1.04 1.04 1.04 1.04 1.04 1.04 1.04 1.04 1.04 1.05 1.06 1.08 1.09 1.08 1.08 1.09 1.08 1.09 1.08 1.08 -1 71 4 79
Medium Fresno, CA 1.05 1.05 1.08 1.08 1.09 1.10 1.10 1.10 1.11 1.11 1.13 1.14 1.15 1.13 1.13 1.12 1.12 1.12 1.13 1.13 -2 82 8 60
Medium Grand Rapids, MI 1.03 1.04 1.06 1.06 1.08 1.10 1.09 1.09 1.10 1.10 1.11 1.12 1.11 1.11 1.11 1.11 1.11 1.10 1.10 1.10 -1 71 7 63
Medium Hartford, CT 1.03 1.04 1.05 1.06 1.08 1.07 1.07 1.08 1.08 1.09 1.10 1.11 1.11 1.10 1.10 1.10 1.11 1.11 1.12 1.12 1 49 9 51
Medium Honolulu, HI 1.11 1.12 1.19 1.18 1.20 1.20 1.20 1.21 1.21 1.19 1.19 1.19 1.18 1.18 1.18 1.19 1.20 1.22 1.23 1.24 6 10 13 36
Very large Houston, TX 1.19 1.24 1.22 1.19 1.17 1.17 1.18 1.19 1.21 1.23 1.23 1.25 1.26 1.28 1.30 1.30 1.32 1.34 1.34 1.33 7 7 14 31
Large Indianapolis, IN 1.08 1.09 1.14 1.15 1.17 1.22 1.24 1.24 1.25 1.25 1.22 1.22 1.22 1.22 1.22 1.22 1.22 1.22 1.21 1.21 -1 71 13 36
Medium Indio-Cathedral City-Palm Springs, CA 1.08 1.09 1.11 1.11 1.11 1.11 1.11 1.10 1.11 1.12 1.11 1.11 1.10 1.10 1.10 1.12 1.13 1.15 1.16 1.14 4 20 6 68
Large Jacksonville, FL 1.07 1.10 1.14 1.15 1.17 1.17 1.18 1.20 1.20 1.18 1.17 1.17 1.17 1.17 1.19 1.21 1.22 1.21 1.22 1.23 6 10 16 27
Large Kansas City, MO-KS 1.02 1.03 1.04 1.04 1.05 1.07 1.07 1.07 1.08 1.08 1.08 1.10 1.09 1.09 1.09 1.09 1.08 1.08 1.08 1.07 -2 82 5 72
Small Knoxville, TN 1.05 1.05 1.09 1.10 1.10 1.10 1.11 1.12 1.14 1.14 1.13 1.13 1.13 1.12 1.12 1.12 1.11 1.11 1.11 1.12 -1 71 7 66
Medium Lancaster-Palmdale, CA 1.06 1.06 1.05 1.06 1.06 1.06 1.06 1.05 1.06 1.06 1.06 1.06 1.07 1.07 1.08 1.09 1.09 1.10 1.10 1.10 3 31 4 79
Small Laredo, TX 1.02 1.02 1.03 1.04 1.04 1.04 1.04 1.06 1.07 1.07 1.07 1.07 1.08 1.08 1.08 1.10 1.09 1.09 1.10 1.12 4 20 10 46
Large Las Vegas, NV 1.06 1.07 1.17 1.19 1.20 1.21 1.23 1.24 1.23 1.23 1.25 1.26 1.26 1.27 1.28 1.30 1.31 1.31 1.30 1.30 4 20 24 12
Small Little Rock, AR 1.02 1.02 1.02 1.03 1.03 1.04 1.04 1.04 1.04 1.04 1.05 1.06 1.06 1.07 1.05 1.06 1.07 1.07 1.08 1.09 3 31 7 63
Very large Los Angeles-Long Beach-Santa Ana, CA 1.24 1.27 1.48 1.48 1.47 1.43 1.40 1.42 1.44 1.45 1.45 1.46 1.46 1.48 1.47 1.47 1.48 1.50 1.51 1.49 3 31 25 10
Medium Louisville, KY-IN 1.11 1.11 1.10 1.13 1.15 1.16 1.17 1.16 1.18 1.19 1.20 1.21 1.21 1.19 1.21 1.22 1.23 1.23 1.22 1.20 -1 71 9 52
Large Memphis, TN-MS-AR 1.04 1.04 1.08 1.08 1.08 1.09 1.10 1.11 1.11 1.12 1.12 1.12 1.13 1.13 1.14 1.14 1.14 1.13 1.13 1.12 -1 70 8 54
Very Large Miami, FL 1.11 1.13 1.23 1.22 1.24 1.23 1.24 1.25 1.25 1.26 1.26 1.30 1.34 1.36 1.37 1.38 1.38 1.38 1.37 1.37 3 31 26 8
Large Milwaukee, WI 1.05 1.06 1.10 1.10 1.12 1.12 1.11 1.13 1.12 1.12 1.13 1.15 1.15 1.15 1.15 1.14 1.14 1.14 1.12 1.13 -2 82 8 60
Large Minneapolis-St. Paul, MN 1.04 1.06 1.10 1.10 1.11 1.13 1.16 1.17 1.17 1.21 1.22 1.23 1.24 1.26 1.24 1.24 1.24 1.26 1.25 1.24 0 61 20 20
Medium Nashville-Davidson, TN 1.09 1.09 1.11 1.10 1.09 1.09 1.12 1.13 1.13 1.14 1.13 1.14 1.15 1.16 1.17 1.17 1.17 1.17 1.16 1.15 0 61 6 69
Medium New Haven, CT 1.03 1.04 1.05 1.06 1.07 1.08 1.08 1.08 1.08 1.09 1.10 1.11 1.11 1.12 1.11 1.11 1.10 1.11 1.11 1.11 0 61 8 54
Large New Orleans, LA 1.11 1.15 1.15 1.15 1.14 1.14 1.15 1.15 1.15 1.15 1.16 1.16 1.15 1.15 1.15 1.15 1.15 1.16 1.17 1.17 2 39 6 69
Very large New York-Newark, NY-NJ-CT 1.10 1.12 1.21 1.20 1.19 1.20 1.21 1.23 1.24 1.26 1.27 1.30 1.29 1.29 1.30 1.33 1.37 1.39 1.38 1.37 8 5 27 6
Medium Oklahoma City, OK 1.02 1.03 1.04 1.04 1.04 1.05 1.05 1.07 1.07 1.08 1.08 1.10 1.09 1.10 1.10 1.09 1.09 1.09 1.10 1.12 3 31 10 46
Medium Omaha, NE-IA 1.04 1.05 1.08 1.08 1.10 1.09 1.10 1.10 1.11 1.11 1.12 1.13 1.14 1.15 1.16 1.16 1.16 1.16 1.17 1.16 2 39 12 40
Large Orlando, FL 1.10 1.15 1.24 1.27 1.26 1.25 1.25 1.26 1.28 1.30 1.31 1.31 1.32 1.33 1.32 1.31 1.30 1.30 1.31 1.30 -2 82 20 20
Medium Oxnard-Ventura, CA 1.03 1.04 1.06 1.06 1.08 1.09 1.11 1.12 1.13 1.12 1.12 1.15 1.16 1.18 1.19 1.19 1.21 1.23 1.23 1.24 8 5 21 19
Small Pensacola, FL-AL 1.03 1.03 1.06 1.06 1.07 1.07 1.07 1.08 1.09 1.10 1.09 1.09 1.10 1.10 1.10 1.11 1.11 1.11 1.13 1.13 3 38 10 49
Very large Philadelphia, PA-NJ-DE-MD 1.11 1.13 1.16 1.16 1.17 1.16 1.16 1.17 1.18 1.20 1.23 1.23 1.23 1.26 1.27 1.26 1.27 1.28 1.27 1.28 5 17 17 26
Very large Phoenix, AZ 1.15 1.15 1.16 1.16 1.18 1.18 1.18 1.17 1.20 1.21 1.22 1.25 1.26 1.28 1.25 1.26 1.27 1.31 1.29 1.30 4 20 15 29
Large Pittsburgh, PA 1.06 1.07 1.09 1.09 1.09 1.08 1.08 1.10 1.10 1.09 1.09 1.10 1.09 1.10 1.10 1.09 1.10 1.09 1.09 1.09 0 61 3 83
Large Portland, OR-WA 1.07 1.07 1.13 1.13 1.16 1.17 1.18 1.20 1.22 1.24 1.24 1.26 1.27 1.28 1.27 1.27 1.28 1.29 1.29 1.29 2 39 22 15
Medium Poughkeepsie-Newburgh, NY 1.04 1.05 1.06 1.06 1.06 1.06 1.06 1.06 1.07 1.07 1.07 1.07 1.07 1.07 1.08 1.08 1.09 1.09 1.09 1.09 2 39 5 72
Large Providence, RI-MA 1.03 1.03 1.06 1.06 1.07 1.08 1.08 1.08 1.10 1.10 1.12 1.13 1.14 1.14 1.15 1.16 1.17 1.16 1.15 1.17 3 31 14 31
Large Raleigh-Durham, NC 1.04 1.05 1.09 1.09 1.08 1.10 1.10 1.11 1.11 1.12 1.12 1.13 1.13 1.14 1.16 1.16 1.17 1.18 1.16 1.17 4 20 13 36
Medium Richmond, VA 1.04 1.04 1.06 1.06 1.07 1.07 1.08 1.09 1.09 1.08 1.08 1.08 1.07 1.08 1.08 1.08 1.09 1.09 1.09 1.09 2 39 5 72
Large Riverside-San Bernardino, CA 1.03 1.05 1.16 1.17 1.18 1.18 1.15 1.17 1.18 1.18 1.20 1.22 1.24 1.24 1.26 1.29 1.32 1.35 1.36 1.36 12 1 33 1
Medium Rochester, NY 1.02 1.03 1.04 1.04 1.04 1.04 1.05 1.05 1.05 1.06 1.05 1.06 1.06 1.06 1.06 1.06 1.06 1.06 1.07 1.06 0 61 4 79
Large Sacramento, CA 1.06 1.08 1.19 1.19 1.18 1.19 1.20 1.20 1.22 1.21 1.22 1.23 1.25 1.27 1.28 1.31 1.32 1.32 1.33 1.32 7 7 26 8
Small Salem, OR 1.02 1.02 1.05 1.05 1.06 1.07 1.07 1.07 1.07 1.07 1.08 1.08 1.09 1.11 1.11 1.09 1.09 1.09 1.10 1.10 1 49 8 54
Medium Salt Lake City, UT 1.05 1.08 1.11 1.12 1.14 1.16 1.18 1.19 1.19 1.18 1.17 1.19 1.21 1.22 1.24 1.24 1.21 1.19 1.18 1.19 -2 82 14 31
Large San Antonio, TX 1.04 1.07 1.07 1.07 1.07 1.07 1.08 1.10 1.12 1.13 1.15 1.18 1.21 1.20 1.20 1.21 1.24 1.24 1.23 1.23 2 39 19 22
Large San Diego, CA 1.07 1.10 1.21 1.21 1.22 1.21 1.20 1.21 1.22 1.23 1.25 1.29 1.30 1.33 1.36 1.36 1.39 1.39 1.38 1.37 7 7 30 3
Very large San Francisco-Oakland, CA 1.14 1.25 1.34 1.31 1.31 1.32 1.30 1.32 1.33 1.30 1.32 1.32 1.36 1.36 1.37 1.37 1.39 1.42 1.44 1.42 6 14 28 4
Large San Jose, CA 1.13 1.20 1.27 1.27 1.24 1.23 1.23 1.24 1.24 1.23 1.25 1.29 1.34 1.34 1.33 1.34 1.32 1.35 1.37 1.36 2 39 23 14
Medium Sarasota-Bradenton, FL 1.10 1.15 1.13 1.14 1.14 1.16 1.16 1.15 1.17 1.18 1.17 1.19 1.18 1.18 1.18 1.18 1.19 1.19 1.20 1.19 1 49 9 52
Very large Seattle, WA 1.07 1.12 1.26 1.27 1.28 1.28 1.29 1.29 1.29 1.31 1.30 1.30 1.28 1.27 1.27 1.30 1.29 1.31 1.30 1.29 1 49 22 15
Small Spokane, WA 1.02 1.03 1.03 1.04 1.05 1.06 1.06 1.05 1.05 1.05 1.06 1.06 1.06 1.05 1.05 1.05 1.05 1.04 1.04 1.05 -1 71 3 83
Medium Springfield, MA-CT 1.04 1.04 1.05 1.05 1.06 1.06 1.05 1.06 1.05 1.05 1.06 1.06 1.06 1.06 1.06 1.06 1.06 1.06 1.07 1.06 0 61 2 86
Large St. Louis, MO-IL 1.07 1.09 1.09 1.09 1.10 1.13 1.16 1.18 1.18 1.19 1.19 1.20 1.20 1.18 1.18 1.17 1.16 1.16 1.16 1.13 -7 90 6 69
Large Tampa-St. Petersburg, FL 1.20 1.22 1.27 1.29 1.29 1.29 1.29 1.29 1.28 1.26 1.25 1.25 1.25 1.26 1.27 1.28 1.29 1.28 1.30 1.31 6 10 11 42
Medium Toledo, OH-MI 1.02 1.02 1.03 1.03 1.04 1.04 1.06 1.07 1.07 1.08 1.09 1.10 1.10 1.10 1.10 1.09 1.10 1.09 1.09 1.08 -2 82 6 67
Medium Tucson, AZ 1.10 1.11 1.13 1.13 1.13 1.13 1.12 1.13 1.13 1.16 1.16 1.16 1.18 1.19 1.20 1.22 1.22 1.23 1.25 1.24 6 10 14 31
Medium Tulsa, OK 1.03 1.05 1.06 1.06 1.06 1.06 1.06 1.07 1.08 1.09 1.09 1.09 1.09 1.10 1.10 1.10 1.09 1.09 1.10 1.10 1 49 7 63
Large Virginia Beach, VA 1.07 1.10 1.13 1.12 1.12 1.12 1.14 1.15 1.18 1.18 1.19 1.19 1.16 1.18 1.18 1.19 1.18 1.18 1.18 1.18 2 39 11 42
Very large Washington, DC-VA-MD 1.11 1.19 1.26 1.28 1.30 1.30 1.29 1.30 1.32 1.32 1.31 1.33 1.33 1.36 1.37 1.38 1.38 1.37 1.37 1.39 6 14 28 4
Small Wichita, KS 1.01 1.01 1.02 1.02 1.02 1.02 1.02 1.02 1.02 1.02 1.02 1.02 1.02 1.02 1.02 1.02 1.02 1.02 1.02 1.02 0 61 1 89
NA 439-Area Averageb 1.09 1.11 1.17 1.17 1.17 1.18 1.18 1.19 1.20 1.20 1.21 1.22 1.22 1.23 1.24 1.24 1.25 1.26 1.25 1.25 3 NA 16 NA
NA 90-Area Averageb 1.10 1.13 1.20 1.20 1.20 1.20 1.20 1.21 1.22 1.23 1.24 1.25 1.25 1.26 1.27 1.27 1.28 1.29 1.29 1.29 4 NA 19 NA
NA Very Large Area Averageb 1.14 1.18 1.27 1.27 1.27 1.27 1.26 1.28 1.29 1.30 1.30 1.31 1.32 1.33 1.34 1.35 1.36 1.38 1.38 1.37 5 NA 23 NA
NA Large Area Averageb 1.07 1.09 1.14 1.14 1.14 1.15 1.16 1.17 1.18 1.19 1.19 1.20 1.21 1.22 1.22 1.23 1.23 1.24 1.24 1.23 2 NA 16 NA
NA Medium Area Averageb 1.05 1.06 1.08 1.08 1.09 1.09 1.10 1.10 1.11 1.11 1.12 1.13 1.13 1.13 1.13 1.13 1.14 1.14 1.14 1.14 1 NA 9 NA
NA Small Area Averageb 1.03 1.04 1.05 1.06 1.06 1.06 1.07 1.07 1.07 1.08 1.08 1.08 1.08 1.08 1.08 1.09 1.09 1.08 1.09 1.10 2 NA 7 NA

KEY: NA = not applicable.
Very large urban areas - over 3 million population.
Large urban areas - over 1 million and less than 3 million population.
Medium urban areas - over 500,000 and less than 1 million population.
Small urban areas - less than 500,000 population.

a Rank is based on the calculated point change with the highest number corresponding to a rank of 1.
b Averages weighted by Vehicle Miles Traveled.

NOTES
The Travel Time Index is the ratio of travel time in the peak period to the travel time at free-flow conditions. A value of 1.35 indicates a 20 minute free-flow trip takes 27 minutes in the peak. Free-flow speeds (60 mph on freeways and 35 mph on principal arterials) are used as comparison threshold.
Methodology and data sources have been changed in 2009 and were applied retroactively to past years, these figures are not comparable to those in past editions of NTS.

SOURCES
Texas Transportation Institute, The 2009 Annual Urban Mobility Report (College Station, TX: 2009), available at http://mobility.tamu.edu as of December 20, 2009.

Updated: Sunday, May 21, 2017