Non-motorized travel (i.e. walking and bicycling) are of increasing interest to the transportation profession, especially in context with energy consumption, reducing vehicular congestion, urban development patterns, and promotion of healthier life styles. This research project aimed to identify factors impacting the amount of travel for both walk and bike trips at the Census block group or tract level, using several public and private data sources. The key survey of travel behavior is the 2009 National Household Travel Survey (NHTS) which had over 87,000 walk trips for persons 16 and over, and over 6000 bike trips for persons 16 and over. The NHTS, in conjunction with the Census Bureau's American Community Survey, street density measures using Census Bureau TIGER, WalkScore, Nielsen Claritas employment estimates, and several other sources were used for this study. Stepwise Logistic Regression modeling techniques as well as Discriminant Analysis were applied using the integrated data set. While the models performed reasonably well for walk trips, travel by bike was abandoned due to sparseness of data. This paper discusses data sources utilized and modeling processes conducted under this study. It also presents a summary of findings and addresses data challenges and lesson-learned from this research effort.


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    Title :

    Characterizing Walk Trips in Communities Using Data from the 2009 NHTS, ACS, and Other Sources


    Contributors:
    H. L. Hwang (author) / T. Reuscher (author) / D. Wilson (author) / E. Murakami (author)

    Publication date :

    2013


    Size :

    16 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English