E-scooter sharing and bikesharing systems: An individual-level analysis of factors affecting first-use and use frequency

G Blazanin, A Mondal, KE Asmussen… - … research part C: emerging …, 2022 - Elsevier
Shared micromobility modes have increasingly penetrated the mobility environment of cities
in the US and the world over. At the same time, to best integrate these emerging modes …

Investigating the subjective and objective factors influencing teenagers' school travel mode choice–An integrated choice and latent variable model

M Kamargianni, S Dubey, A Polydoropoulou… - … Research Part A: Policy …, 2015 - Elsevier
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 …

A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables

CR Bhat - Transportation Research Part B: Methodological, 2015 - Elsevier
This paper formulates a generalized heterogeneous data model (GHDM) that jointly handles
mixed types of dependent variables—including multiple nominal outcomes, multiple ordinal …

A new estimation approach to integrate latent psychological constructs in choice modeling

CR Bhat, SK Dubey - Transportation Research Part B: Methodological, 2014 - Elsevier
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 …

[HTML][HTML] A general framework to forecast the adoption of novel products: A case of autonomous vehicles

S Dubey, I Sharma, S Mishra, O Cats… - … research part B …, 2022 - Elsevier
Due to the unavailability of prototypes, the early adopters of novel products actively seek
information from multiple sources (eg, media and social networks) to minimize the potential …

Joint modeling of pedestrian and bicycle crashes: copula-based approach

T Nashad, S Yasmin, N Eluru, J Lee… - Transportation …, 2016 - journals.sagepub.com
This study contributes to the safety literature on active mode transportation safety by using a
copula-based model for crash frequency analysis at a macro level. Most studies in the …

A new spatial and flexible multivariate random-coefficients model for the analysis of pedestrian injury counts by severity level

CR Bhat, S Astroza, PS Lavieri - Analytic methods in accident research, 2017 - Elsevier
We propose in this paper a spatial random coefficients flexible multivariate count model to
examine, at the spatial level of a census tract, the number of pedestrian injuries by injury …

Investigating autonomous vehicle impacts on individual activity-travel behavior

KA Dannemiller, A Mondal, KE Asmussen… - … Research Part A: Policy …, 2021 - Elsevier
This paper develops an analytic system to investigate the effects of AV availability on
multiple dimensions of activity-travel behavior at once, based on a direct survey-based …

A semiparametric negative binomial generalized linear model for modeling over-dispersed count data with a heavy tail: Characteristics and applications to crash data

M Shirazi, D Lord, SS Dhavala… - Accident Analysis & …, 2016 - Elsevier
Crash data can often be characterized by over-dispersion, heavy (long) tail and many
observations with the value zero. Over the last few years, a small number of researchers …

Recombination hotspots: Models and tools for detection

P Paul, D Nag, S Chakraborty - DNA repair, 2016 - Elsevier
Recombination hotspots are the regions within the genome where the rate, and the
frequency of recombination are optimum with a size varying from 1 to 2 kb. The …