The innovative idea of this research is changing the focus from valuation based customer segmentation into segmenting customers in base of their travel plans, and using price information of flights that are likely to be considered by passengers as pairs, in forecasting models. This improves forecasting models precision, supports better management of the demand among a set of potential related f...

This study seeks to determine the factors that have impacted the duration of the Mexican temporary and permanent migrant trips to the United States. The explanatory variables consist of socioeconomic factors, human capital, migration experience, social capital and labor variables. The data collected between 1987 and 2007 showed that more than half of the Mexican migrants that enter the USA did ...

Recently there has been renewed interest in modeling urban truck movements. This is potentially important for improving traffic forecasts as well as for a host of other applications including ITS. Despite attempts to fit truck trips models into a passenger modeling framework, there are unique aspects of urban freight movements, such as trip chaining, that must be considered for credible models....

Aims: This study aims to determine the effectiveness of use light on catches Giant lift net. Place and Duration Study: The research was conducted for six months, from March August 2022. carried out in waters Barru Regency, South Sulawesi Province. Methodology: Data collection using survey interview methods as well literature studies. Field data is by participating direct operations with fisherm...

The delay costs of traffic disruptions and congestion and the value of travel time reliability are typically evaluated using single trip scheduling models, which treat the trip in isolation of previous and subsequent trips and activities. In practice, however, when activity scheduling to some extent is flexible, the impact of delay on one trip will depend on the actual and predicted travel time...

This work is part of an ongoing effort to understand the dynamics of passenger loads in modern, multimodal transportation networks (TNs) and to mitigate the impact of perturbations. The challenge is that the percentage of passengers at any given point of the TN that have a certain destination, i.e. their distribution over different trip profiles, is unknown. We introduce a stochastic hybrid aut...

This working paper describes a group of techniques for disaggregating origin-destination tables for truck forecasting that makes explicit use of observed traffic on a network. Six models within the group are presented, each of which uses nonlinear least-squares estimation to obtain row and column factors for splitting trip totals from and to larger geographical areas into smaller ones. The tech...