1,436 research outputs found

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    Analysis of Financing Options for Transportation

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    This paper reviews and analyzes various innovative Financing tech­niques for highway and transit. With federal support diminishing and transportation needs growing, agencies are seeking new ways to meet this crisis. The techniques discussed fall into the four broad categories of: (1) charges on benefiting properties; (2) joint venture approaches; (3) user charges; and (4) marketing and merchandising approaches. Charges on benefiting properties recognize that there are specific beneficiaries who gain from transportation improvements and include: connector fees, negotiated investments, special benefit assessment, tax increment finan­cing and impact requirements. Joint ventures with the private sector recognize that it is mutually advantageous for public and private sectors to cooperate on transportation projects and include the techniques of land/air rights leasing, donations for capital improvements and cost shar­ing. User charges are intended as direct payments for services rendered and are classified as motor vehicle taxes and fees, tolls, commercial park­ing taxes and taxes on motor fuels. Marketing and merchandising ap­proaches include advertising and merchandising. None of the techniques are a panacea for transportation finance but where appropriate condi­tions exist, they can be effectively used to finance the growing transpor­tation needs of our natio

    Experiments on Roll Waves in Air-Water Pipe Flow

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    Experiments on air-water two phase flow in inclined pipes have been made, with emphasis on the roll wave regime. The motivation for the work is the improving of 1D flow models for multiphase pipeline transport of oil and gas mixtures. Pressure and liquid fractions are recorded in time, together with video recordings. The results show that large amplitude roll waves have associated pressure jumps across the fronts. Some implications for the flow modelling are discussed

    Discriminatory language in the workplace: unmasking prejudices and stereotypes

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    The link between language, communication and open discrimination has been the focus of numerous studies. For many years, language has been a vehicle of prejudice and negative stereotypes. However, in the last few years, overt verbal aggressions have diminished thanks to the implementation of equality policies and awareness-raising initiatives. Despite that, negative attitudes against protected groups might not have disappeared and may instead be transmitted subtly, such as through uncivil language. The goal of this research is to study the relation between language and subtle discrimination against lesbian and gay (LG) workers. With this goal in mind, 39 in-depth interviews were conducted. The analysis showed that LG people are victims of subtle discrimination and that language is one of the most common vehicles of prejudice and negative stereotypes. Jokes, inappropriate comments and questions are the expression of negative attitudes, which are probably present at an implicit level. Due to the ambiguity of these expressions and the settings where they have been studied — the workplace — these acts could be defined as uncivil behaviours. Practical implications, limitations and directions for future research are discussed.info:eu-repo/semantics/acceptedVersio

    Time-averaged MSD of Brownian motion

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    We study the statistical properties of the time-averaged mean-square displacements (TAMSD). This is a standard non-local quadratic functional for inferring the diffusion coefficient from an individual random trajectory of a diffusing tracer in single-particle tracking experiments. For Brownian motion, we derive an exact formula for the Laplace transform of the probability density of the TAMSD by mapping the original problem onto chains of coupled harmonic oscillators. From this formula, we deduce the first four cumulant moments of the TAMSD, the asymptotic behavior of the probability density and its accurate approximation by a generalized Gamma distribution

    Generalized Master Equations for Non-Poisson Dynamics on Networks

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    The traditional way of studying temporal networks is to aggregate the dynamics of the edges to create a static weighted network. This implicitly assumes that the edges are governed by Poisson processes, which is not typically the case in empirical temporal networks. Consequently, we examine the effects of non-Poisson inter-event statistics on the dynamics of edges, and we apply the concept of a generalized master equation to the study of continuous-time random walks on networks. We show that the equation reduces to the standard rate equations when the underlying process is Poisson and that the stationary solution is determined by an effective transition matrix whose leading eigenvector is easy to calculate. We discuss the implications of our work for dynamical processes on temporal networks and for the construction of network diagnostics that take into account their nontrivial stochastic nature

    The effect of discrete vs. continuous-valued ratings on reputation and ranking systems

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    When users rate objects, a sophisticated algorithm that takes into account ability or reputation may produce a fairer or more accurate aggregation of ratings than the straightforward arithmetic average. Recently a number of authors have proposed different co-determination algorithms where estimates of user and object reputation are refined iteratively together, permitting accurate measures of both to be derived directly from the rating data. However, simulations demonstrating these methods' efficacy assumed a continuum of rating values, consistent with typical physical modelling practice, whereas in most actual rating systems only a limited range of discrete values (such as a 5-star system) is employed. We perform a comparative test of several co-determination algorithms with different scales of discrete ratings and show that this seemingly minor modification in fact has a significant impact on algorithms' performance. Paradoxically, where rating resolution is low, increased noise in users' ratings may even improve the overall performance of the system.Comment: 6 pages, 2 figure
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