Browsing by Subject "Transportation modes"

Now showing 1 - 3 of 3
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    Are millennials moving to more urbanized and transit-oriented counties?
    (Journal of Transport and Land Use, 2018) Deka, Devajyoti
    Recent studies show that two distinct narratives have emerged about the millennials’ behavior, attitudes, and preferences regarding their choice of residence and transportation. According to the optimistic narrative, by living and traveling sustainably, millennials are planting the seeds of an urban renaissance. According to the pessimistic narrative, the changes in their behavior are due to economic constraints. To examine whether the inter-county migration pattern of American millennials is consistent with the optimistic narrative, this study compares some spatial and travel characteristics of the origins and destinations of millennials (age 25-34) and older adults (age 35-64) by using data from the 2011-2015 American Community Survey and the 2010 Longitudinal Employer-Household Dynamics. Basic comparisons show that the destinations chosen by millennials are likely to have the characteristics that are consistent with the optimistic narrative. The push-pull regression models show that the effects of the county characteristics on migration are often significant but modest. The effects are not remarkably different for the two age groups.
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    How Affordable Is Transportation? A Context-Sensitive Framework
    (Center for Transportation Studies, 2011-05) Fan, Yingling; Huang, Arthur
    Transportation affordability refers to the financial burden households bear in purchasing transportation services. Traditional measures, which focus on what share of household disposable income or total budget goes to transportation services, often fail to consider the wide variation in households? transportation needs and locational settings. In this project, we propose a contextualized transportation affordability analysis framework that differentiates population groups based upon their socio-demographics, the built environment, and the policy environment. The necessity of such a context-sensitive framework is demonstrated via a case study of the Twin Cities metropolitan area, which shows heterogeneity among different population groups in terms of their transportation needs and resource availability. The proposed context-sensitive framework points to two dilemmas associated with transportation affordability. First, the socio-economically disadvantaged group has the lowest auto ownership rate, yet its transportation needs are better served by automobiles. Second, while automobiles can reduce transportation hardship for the socio-economically disadvantaged, the existing auto-oriented urban landscape in the U.S. requires more travel for access to destinations, which leads to higher transportation costs. The dilemmas call for a multi-modal transportation solution: reducing societal auto dependence and providing financial subsidies for car access among disadvantaged populations are equally important to enhance transportation affordability and social welfare.
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    Transportation Planning to Support Economic Development: An Exploratory Study of Competitive Industry Clusters and Transportation in Minnesota
    (Center for Transportation Studies, University of Minnesota, 2015-01) Munnich, Lee; Iacono, Michael Jr.; Dworin, Jonathan
    This project seeks to advance the state of knowledge of the relationship between transportation and economic development by investigating how firms in competitive industry clusters use transportation networks and what role the networks play in the formation and growth of these clusters. The approach combines quantitative and qualitative techniques to geographically identify competitive industry clusters and to investigate the role of transportation. The U.S. Cluster Mapping tool is used to identify competitive clusters by employment location quotients in 25 Minnesota metropolitan and micropolitan regions. Twelve competitive clusters were selected for further study, and in-depth interviews and site visits were conducted with businesses in each cluster to explore the competitive importance of different modes of transportation. These methods can yield valuable insights into how transportation functions as an input within competitive industry clusters and how it can inform economic development strategies tailored to certain locations and industries.