Air travelers originating from the catchment areas of airports–typically defined by
administrative or geographic boundaries–will sometimes “leak” across these boundaries to …

The aim of this paper is to propose a new model that improves the Damp Trend Grey Model
(DTGM) with a dynamic seasonal dam** factor to forecast routes passengers demand …

Mobile location data have emerged as a pivotal asset for analyzing travelers' spatial
behaviors and movement patterns. In the context of air travel, the data empower researchers …

The current study proposes a novel modeling approach for modeling airline demand.
Specifically, we develop a joint panel generalized ordered probit model system with …

The availability of passenger demand estimates for air traffic routes is crucial to a plethora of
application and research problems ranging from, eg, optimization of airline fleet utilization to …

The objective of the current study is to examine monthly air passenger departures at the
airport level considering spatial interactions between airports. In this study, we develop a …

Using the example of domestic connections departing from the New York Metropolitan Area,
this paper contributes to research on airports' catchment areas in Multi Airport Regions by …

Given their distinct service and demand characteristics, flight operations at different airports
and the resulting emissions are not expected to be uniformly impacted by price-based …

Are there unique determinants of air travel demand for regional routes? Is the passenger mix
different for airlines flying these routes in develo** countries? This paper attempts to …

This research aims to investigate travel mode choices and behaviours of air passengers and
community respondents in regional Western Australia. Multinomial logit and Nested logit …