Bicycle-sharing is regarded as a new mode of transportation with low-carbon and low-cost
advantages, which could effectively alleviate traffic congestion. Understanding the factors …

In this paper, we apply Bhat and Dubey's (2014) new probit-kernel based Integrated Choice
and Latent Variable (ICLV) model formulation to analyze children's travel mode choice to …

This paper describes the methodology we set up to gather appropriate data to study the
impact of real life experience with electric vehicles (EVs) over a relatively long period of time …

This paper aims at explaining the choice between online and in-store shopping for typical
search and experience goods (standard electronic appliances and groceries) within an …

This paper formulates a generalized heterogeneous data model (GHDM) that jointly handles
mixed types of dependent variables—including multiple nominal outcomes, multiple ordinal …

Since standard vehicles are powered by internal combustion mechanisms that rely on fossil
fuels, electric vehicles that are propelled by one or more electric engines have been …

With growing concerns about greenhouse gas emissions and traffic congestion, there is an
emphasis on encouraging shifts to public transport, for both short and long distance travel …

The scope of this paper is to develop an advanced stated preferences (SP) survey
customized to capture teenagers' behaviors and to estimate models of hybrid mode choices …

This study explores travelers' preference for shared micromobility in the context of last-mile
travel from shared parking lots to their final destination in the city center. Based on the …

In the current paper, we propose a new multinomial probit-based model formulation for
integrated choice and latent variable (ICLV) models, which, as we show in the paper, has …