Spatial Economics Model Predicting Transport Volume

Predicting Model of Traffic Volume Based on Grey-Markov

Grey-markov forecasting model of traffic volume was founded by applying the model of GM (1,1) and Markov random process theory. The model utilizes the advantages of Grey-markov GM (1,1) forecasting model and Markov random process in order to discover the developing and varying tendency of the forecasting data sequences of traffic volume. The analysis of an example indicates that the grey-markov...

Clustering , Logistics , and Spatial Economics

In the last decade, the number of logistic service providers located in clusters across Europe has increased substantially. Because location choice models in logistics studies are not able to give a satisfactory explanation for this phenomenon, various spatial economic concepts are studied in this paper. The main purpose is to provide more insight into the selection of economically attractive l...

Mathematical Models in Spatial Economics

Finite volume transport schemes

We analyze arbitrary order linear finite volume transport schemes and show asymptotic stability in L and L∞ for odd order schemes in dimension one. It gives sharp fractional order estimates of convergence for BV solutions. It shows odd order finite volume advection schemes are better than even order finite volume schemes. Therefore the Gibbs phenomena is controled for odd order finite volume sc...

Spatial Markov model of anomalous transport through random lattice networks.

Flow through lattice networks with quenched disorder exhibits a strong correlation in the velocity field, even if the link transmissivities are uncorrelated. This feature, which is a consequence of the divergence-free constraint, induces anomalous transport of passive particles carried by the flow. We propose a Lagrangian statistical model that takes the form of a continuous time random walk wi...