This paper is an endeavor to quantify the concept of sustainable transportation. The prevailing idea in the context of sustainable development (SD) emphasizes on the reduction of transportation demand in order to reduce the environmental and social consequences of it. Nevertheless, in the current paper using a measure for SD, and based on the conformity of the growths of all sectors with transp...

Rolling out of bed, José checks his CommuterAlert traveler information system while his coffee brews. The regional commuter assistance program was offering the system through a local automobile dealer when José purchased the family's vehicle. CommuterAlert is predicting that his 10-mile commute on I-275, which normally takes 29 minutes, will now take 46 to 52 minutes. In his printer are identif...

Considerably less research has been done on modeling freight demand with disaggregate discrete models than on modeling passenger demand. The principal reason for this imbalance is the lack of freight demand data. Freight demand characteristics are expensive to obtain and are sometimes confidential. This paper analyzes the freight demand characteristics that drive modal choice by means of a larg...

rapid urban growth is resulting into increase in travel demand and private vehicle ownership in urban areas. in the present scenario the existing infrastructure has failed to match the demand that leads to traffic congestion, vehicular pollution and accidents. with traffic congestion augmentation on the road, delay of commuters has increased and reliability of road network has decreased. four s...

establishing a network of transit routes with satisfactory demand coverage is one of the main goals of transitagencies in moving towards a sustainable urban development. a primary concern in obtaining such anetwork is reducing operational costs. this paper deals with the problem of minimizing construction costsin a grid transportation network while satisfying a certain level of demand coverage....

Compared to the conventional methods, Artificial Neural Networks (ANN) are considered to be one of the reliable tools for modeling of complex phenomena such as demand. Aim of this study is to provide a model for gasoline demand in transportation section of Tehran metropolis through multilayered perceptron neural network and using the presented model in analyzing the sensitivity of the model to ...

Since the beginning of civilization, the viability and economic success of communities have been, to a major extent, determined by the efficiency of the transportation infrastructure. To make informed transportation infrastructure planning decisions, planners and engineers have to be able to forecast the response of transportation demand to changes in the attributes of the transportation system...