Transportation demand prediction is of great importance to urban governance and has become an essential function in many online applications. While efforts have been made for regional transportation prediction, predicting the diversified different communities (e.g., aged, juveniles) remains unexplored problem. However, this task challenging because joint influence spatio-temporal correlation am...

Transportation terminal is the key node in transport systems. Efficient terminals can improve operation of passenger transportation networks, adjust the layout of public transportation networks, provide a passenger guidance system, and regulate the development of commercial forms, as well as optimize the assembly and distribution of modern logistic modes, among others. This study aims to clarif...

An analysis was conducted to examine the market visibility of small aircraft as a transportation mode in competition with automobile and scheduled commercial air travel by estimating the pool of users that would potentially switch on-demand air travel due to cost/time saving. These new aircraft greatly increase the practicality of regional aircraft as a transportation mode that can avoid the co...

Fundamental to intermodal development is consistent demand modeling across the intermodal system, which coordinates resource allocation. However, different planning organizations are responsible for the development of different components of the intermodal system. In the case of air transportation, air demand modeling is mainly conducted by Federal Aviation Administration and commercial airline...

We consider the following transportation problem with both random and fuzzy factors. There exist m supply points and n demand points. For each route between supply point and demand point, unit transportation cost is a random variable according to a normal distribution and existence possibility denoting the preference choosing this route is attached. The probability that the total transportation...

Intelligent Transportation Systems (ITS) have received a great deal of attention in overcoming traffic-associated problems by implementing online traffic management, which inevitably depends on the accurate dynamic traffic demand. Dynamic Traffic Demand is a fundamental input for simulation-based Dynamic Traffic Assignment (DTA) models to describe and predict traffic conditions on the network o...

This paper considers a dual time scale transportation planning model for which demand evolves on a day-to-day time scale and traffi c flows on arcs of the transportation network fluctuate on a within-day time scale. We show the problem is particularly amenable to a demand learning approach when using a demand model motivated by evolutionary game theory. We then argue that an alternative model o...

To attract and keep customers, companies, especially those in e-business, are increasingly offering free shipping to buyers whose order sizes exceed the free shipping quantity. In this paper, given the supplier offers free shipping and the retailer faces stochastic demand, we determine the retailer’s (i.e., the newsvendor’s) optimal order quantity and the optimal selling price simultaneously. W...

in this paper the factors having influence on travel demand to iran are paper explored. the hypothesis of the research specifies the variable of “domestic upheavals and insecurity” as the most significant obstacle to expansion of the demand for travel to iran. to test the above hypothesis, first several demand models that have been proposed to study demand for tourism in different countries, ar...