In this work, we employ the GVAR model in order to analyze demand aspects of a multimodal public transportation system. The methodology is applied to the Athens region, Greece. GVAR provides a relevant econometric modelling framework for assessing relationships between economic entities, such as transportation modes, by analyzing the relative shocks and channels of transmission mechanisms among...

In this paper, new methodologies are proposed for solving unbalanced fuzzy transportation problems without converting into a balanced one. The advantages of these methodologies are to get an optimal solution. In the proposed method, transportation costs, demand and supply are represented by triangular fuzzy numbers. To illustrate the proposed method, numerical examples are solved and the obtain...

The natural gas supply chain involves three main agents: producers, transportation companies, and local distribution companies (LDCs). We present a MIP model that is the basis for a decision support system developed for a Chilean LDC. This model takes into account many of the complexities of the purchasing and transportation contracts to help optimize daily purchase and transportation decisions...

This chapter discusses the importance of discrete choice and discrete-continuous modeling methods in the cost-benefit evaluation of transportation infrastructure improvement and other related projects. Specifically, discrete choice and discrete-continuous methods constitute the backbone of travel demand models that are used to predict travel characteristics and usage of transportation services ...

The stability of a user equilibrium determines whether it could be realized or sustained in a transportation network, when subject to perturbations in traffic conditions and drivers’ route choice behaviors. In this paper, with a simple deterministic dynamical system model of the traffic assignment problem, we first develop a systematic approach to analyzing asymptotic stability and instability ...

Understanding the sensitivity of gasoline demand to changes in prices and income has important implications for policies related to climate change, optimal taxation and national security, to name only a few. While the short-run price and income elasticities of gasoline demand in the United States have been studied extensively, the vast majority of these studies focus on consumer behavior in the...

Title of dissertation: ESSAYS IN PERSONAL TRANSPORTATION DEMAND AND CONSUMER FINANCE Jaclyn Evans, Doctor of Philosophy, 2016 Dissertation directed by: Professor Roberton C. Williams, III Department of Agricultural and Resource Economics This dissertation is composed of three essays covering two areas of interest. The first topic is personal transportation demand with a focus on price and fuel ...

In this paper, a demand-responsive decision support system is proposed by integrating the operations of coal shipment, coal stockpiles and coal railing within a whole system. A generic and flexible scheduling optimisation methodology is developed to identify, represent, model, solve and analyse the coal transport problem in a standard and convenient way. As a result, the integrated train-stockp...

In this paper, a new method is proposed for solving a special type of fuzzy transportation problem by assuming that a decision maker is uncertain about the precise values of transportation cost only but there is no uncertainty about the supply and demand of the product. In the proposed method transportation costs are represented by generalized trapezoidal fuzzy numbers. To illustrate the propos...

This paper presents an application to the multi-objective stochastic transportation problem in fuzzy environment. In this paper, we focus on our attention to multiobjective stochastic transportation problem involving an inequality type of constraints in which all parameters ( supply and demand ) are log-normal random variable and the objectives are non-commensurable and conflicting in nature. A...