Browsing by Author "Manaugh, Kevin"

Now showing 1 - 3 of 3
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    The importance of neighborhood type dissonance in understanding the effect of the built environment on travel behavior
    (Journal of Transport and Land Use, 2015) Manaugh, Kevin; El-Geneidy, Ahmed M.
    For many years, researchers have struggled to separate the effects of personal tastes—including residential choices—from built environment and transport related factors when attempting to understand and model travel behavior. This paper will briefly describe how issues related to self-selection, if not controlled for in a travel behavior analysis, can lead to over- and under-estimation of the effect of the built environment on travel behavior. A theoretical model is presented, which is followed by an empirical analysis based on survey data capturing residential choice factors to test our theory. Our analysis shows that by separating people that have chosen their current home location based primarily on transport-related concerns from people who have located based primarily on housing and neighborhood characteristics, we are able to gain a nuanced understanding of how various “costs” associated with using public transit (access time, waiting time, and transfers) affect the likelihood of taking transit. We find a strong aversion to transfers as well as different responses to these factors based on reasons for living in a given location. We demonstrate how model predictions vary greatly especially when self-selection factors are included in the analysis. Findings from this research shed light on the importance of self-selection in travel behavior research, giving transport planners and engineers clear examples how ignoring these factors can lead to misleading findings.
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    What is mixed use? Presenting an interaction method for measuring land use mix
    (Journal of Transport and Land Use, 2013) Manaugh, Kevin; Kreider, Tyler
    In recent decades, the mixing of complementary land uses has become an increasingly important goal in transportation and land use planning. Land uses mix has been shown to be an influential factor in travel behavior (mode choice and distance traveled), improved health outcomes, and neighborhood-level quality of life. However, quantifying the extent to which a given area is mixed-use has proven difficult. Much of the existing research on the mixing of land uses has focused on the presence and proportion of different uses as opposed to the extent to which they actually interact with one another. This study proposes a new measure of land use mix, a land use interaction method—which accounts for the extent to which complementary land uses adjoin one another—using only basic land use data. After mapping and analyzing the results, several statistical models are built to show the relationship between this new measure and reported travel behavior. The models presented show the usefulness of the approach by significantly improving the model fit in comparison to a commonly-used land use mix index, while controlling for socio-demographic and built form factors in three large Canadian cities (Vancouver, Toronto, and Montreal). Our results suggest that simple, area-based, measures of land use mix do not adequately capture the subtleties of land use mix. The degree to which an area shows fine-grained patterns of land use is shown to be more highly correlated with behavior outcomes than indices based solely on the proportions of land use categories.
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    What makes travel ‘local’: Defining and understanding local travel behavior
    (Journal of Transport and Land Use, 2012) Manaugh, Kevin; El-Geneidy, Ahmed M.
    In recent years, land use and transportation planning priorities have shifted from issues of mobility to focus on the capacity of neighborhoods to provide opportunities to live, work, shop, and socialize at the local scale. This research explores a sample of households from Montreal, Quebec, Canada, that engaged in multiple trip purposes on the same day and measures the effects of household, individual, and trip characteristics on their travel behavior, especially the localization of these trips. A new measure to understand the spatial dispersal of actual activity space of each household is proposed while controlling for distance traveled. The findings show that levels of regional and local accessibility have different effects on this new index. Furthermore, these effects vary with household size and socio-demographic factors. This study could help transportation professionals who are aiming to develop policies to localize household travel patterns through land use and transportation coordination at the neighborhood and regional scale. As wealthier car-owning households are seen to exhibit more dispersed travel behavior regardless of accessibility measures, implications for social equity and exclusion are also explored.