This paper uses data from the metropolitan samples of the American Housing Survey in 1977/78 and 1985 to examine the commute patterns of whites, blacks, and Hispanics in metropolitan areas, with a particular focus on the commutes of workers living in predominately minority residential areas. Contrary to the spatial mismatch hypothesis, black and Hispanic workers living in minority areas had bot...

Many studies have demonstrated that the built environment has a strong impact on people's travel mode choice. However, also influences elements such as distance and car ownership, which might be true predictors of modes are chosen. In this study, we analyse effects changes in residential neighbourhood (for commute trips leisure trips), both directly indirectly through distances attitudes. This ...

The Debye-Hückel theory describes rigorously the thermal equilibrium of classical Coulomb fluids in the high-temperature β → 0 regime (β denotes the inverse temperature). It is generally believed that the Debye-Hückel theory and the systematic high-temperature expansion provide an adequate description also in the region of small strictly positive values of β > 0. This hypothesis is tested in th...

We first explore methods for approximating the commute time and Katz score between a pair of nodes. These methods are based on the approach of matrices, moments, and quadrature developed in the numerical linear algebra community. They rely on the Lanczos process and provide upper and lower bounds on an estimate of the pair-wise scores. We also explore methods to approximate the commute times an...

Uncertainty is inherent in major infrastructure projects, but public decision-making for such projects ignores it. We investigate the uncertainty about the future effects of tearing down the AlaskanWay Viaduct in downtown Seattle, using an integrated model of housing, jobs, land use and transportation, on outcomes including average commute times. Our methodology combines the urban simulation mo...

This paper presents a novel approach to quantifying the information flow on a graph. The proposed approach is based on the solution of a wave equation, which is defined using the edge-based Laplacian of the graph. The initial condition of the wave equation is a Gaussian wave packet on a single edge of the graph. To measure the information flow on the graph, we use the average return time of the...

We propose a novel graph metric for semantic entity-relationship networks for solving two tasks. First, given a semantic entity-relationship graph such as for example DBpedia we find relevant neighbors for a given query node. Second, we search for paths between two given nodes in order to discover interesting links between the nodes. Compared to using the default step metric our approach yields...

In this paper, drawing inspiration from the commutativity results which hold for a number of Bayesian approximations of belief functions (like pignistic function and relative plausibility of singletons) we study the properties of a new probabilistic approximation of belief functions derived from geometric methods: the intersection probability. The intersection probability inherits its name from...

This paper introduces the Laplacian spectral distances, as a function that resembles the usual distance map, but exhibits properties (e.g., smoothness, locality, invariance to shape transformations) that make them useful to processing and analyzing geometric data. Spectral distances are easily defined through a filtering of the Laplacian eigenpairs and reduce to the heat diffusion, wave, bi-har...

The equivalence between neutral particles under rotation and charged in a magnetic field relates phenomena as diverse spinning atomic nuclei, weather patterns, the quantum Hall effect. In their descriptions, translations along different directions do not commute, implying Heisenberg uncertainty relation spatial coordinates. Here, we exploit ability to squeeze non-commuting variables dynamically...