We propose new probabilistic models for the spatial distribution of supply and demand and use the models to determine how the trip length distribution is affected by the relative shortage or excess of supply, the spatial clustering of supply and demand, and the degree of attraction or repulsion between supply and demand at different spatial scales. The models have a multiplicative structure and...

BACKGROUND Few studies have used GPS data to analyze the relationship between Walk Score, transportation choice and walking. Additionally, the influence of Walk Score is understudied using trips rather than individuals as statistical units. The purpose of this study is to examine associations at the trip level between Walk Score, transportation mode choice, and walking among Paris adults who we...

Trip destination prediction is an area of increasing importance in many applications such as trip planning, autonomous driving and electric vehicles. Even though this problem could be naturally addressed online learning paradigm where data arriving a sequential fashion, the majority research has rather considered offline setting. In paper, we present unified framework for setting, which suitabl...

Traffic flows around roundabouts have been found to be dependent on origin-destination flows, but the true nature of this relationship is not properly understood. Present analyses are based on either gap acceptance models or empirical models. These models do not properly account for the impact of origin-destination flows on roundabout operations. This has limited the possibility to develop stra...

In this paper we apply entropy in transportation model using maximum entropy method introduced by Shannon. A transportation model for trip distribution describes the number of trips between two zones where generalized cost is usually some combination of the travel, the distance traveled and the actual monetary cots. If the transportation model is of the power form and if the total number of ori...

The reduction in transportation costs when travelling with a low-cost airline (LCA) seems to have modified the composition of the trip budget. An understanding of expenditure composition when comparing LCA and legacy airline travellers is vital for destination marketers. Using micro official statistics data for air travellers to Spain in 2010 and the compositional data analysis (CODA) methodolo...

A gravity model for trip distribution describes the number of trips between two zones, as a product of three factors, one of the factors is separation or deterrence factor. The deterrence factor is usually a decreasing function of the generalized cost of traveling between the zones, where generalized cost is usually some combination of the travel, the distance traveled, and the actual monetary ...

Real-time estimation of destination and travel time for taxis is of great importance for existing electronic dispatch systems. We present an approach based on trip matching and ensemble learning, in which we leverage the patterns observed in a dataset of roughly 1.7 million taxi journeys to predict the corresponding final destination and travel time for ongoing taxi trips, as a solution for the...