984 resultados para Transportation Services.
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Federal Transit Administration, Washington, D.C.
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Transportation Systems Center, Cambridge, Mass.
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"DOT-I-81-19"--V. 2, p. [4] of cover.
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"DOT-T-92-11"--P. [4] of cover.
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Prepared for Dept. of Transportation, Office of Transportation Systems Analysis and Information, and the National Center for Productivity and Quality of Working Life; under contract no. NP5AC019.
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Mode of access: Internet.
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Around the world, particularly in North America and Australia, urban sprawl combined with low density suburban development has caused serious accessibility and mobility problems, especially for those who do not own a motor vehicle or have access to public transportation services. Sustainable urban and transportation development is seen crucial in solving transportation disadvantage problems in urban settlements. However, current urban and transportation models have not been adequately addressed unsustainable urban transportation problems that transportation disadvantaged groups overwhelmingly encounter, and the negative impacts on the disadvantaged have not been effectively considered. Transportation disadvantaged is a multi-dimensional problem that combines demographic, spatial and transportation service dimensions. Nevertheless, most transportation models focusing on transportation disadvantage only employ demographic and transportation service dimensions and do not take spatial dimension into account. This paper aims to investigate the link between sustainable urban and transportation development and spatial dimension of the transportation disadvantage problem. The paper, for that purpose, provides a thorough review of the literature and identifies a set of urban, development and policy characteristics to define spatial dimension of the transportation disadvantage problem. This paper presents an overview of these urban, development and policy characteristics that have significant relationships with sustainable urban and transportation development and travel inability, which are also useful in determining transportation disadvantaged populations.
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Airports are currently being pressured to operate in a more environmentally-sensitive manner; as a response, airports have integrated environmental policies into their operations. However, environmental concerns regarding automobile traffic and related emissions have yet to be addressed. While the automobile is the dominant air passenger ground transportation mode at US airports, services facilitating automobile usage including public parking and car rentals are a major airport revenue source. Less than 20 US hub airports have direct access to rail-based transportation modes. New rail transportation projects serving additional airports are either being consideration or under construction. Regardless of whether an airport has direct access to rail-based transportation modes, the air passenger ground transportation modal split at US airports remain low in comparison to those in Asia and Europe. The high cost of providing additional US airports with direct rail connections in an era of severe governmental budgetary cutbacks is making the “build it and they will come” mindset untenable. Governmental policies are but one factor determining whether programs increasing transit usage results in automobile traffic reductions and related emissions. This study reveals that a significant percentage of the busiest US airports do not have policies fostering increases in the air passenger ground transportation modal split. A case study of one US airport is presented that has successfully adopted a transit first policy to achieve a high air passenger ground transportation modal split and facilitate the availability of rail-based transportation services.
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics
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The procurement of transportation services via large-scale combinatorial auctions involves a couple of complex decisions whose outcome highly influences the performance of the tender process. This paper examines the shipper's task of selecting a subset of the submitted bids which efficiently trades off total procurement cost against expected carrier performance. To solve this bi-objective winner determination problem, we propose a Pareto-based greedy randomized adaptive search procedure (GRASP). As a post-optimizer we use a path relinking procedure which is hybridized with branch-and-bound. Several variants of this algorithm are evaluated by means of artificial test instances which comply with important real-world characteristics. The two best variants prove superior to a previously published Pareto-based evolutionary algorithm.
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Mode of access: Internet.
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Mode of access: Internet.
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Mode of access: Internet.
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Transportation Department, Washington, D.C.
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Transportation Department, Washington, D.C.