Perceived Opportunities and Challenges of Autonomous Demand-Responsive Transit Use: What Are the Socio-Demographic Predictors?
The adoption of autonomous demand-responsive transit (ADRT) to support regular public
transport has the potential to enhance sustainable mobility. There is a dearth of research on …
transport has the potential to enhance sustainable mobility. There is a dearth of research on …
[HTML][HTML] Choice modelling in the age of machine learning-discussion paper
Since its inception, the choice modelling field has been dominated by theory-driven
modelling approaches. Machine learning offers an alternative data-driven approach for …
modelling approaches. Machine learning offers an alternative data-driven approach for …
Injury severity on traffic crashes: A text mining with an interpretable machine-learning approach
The analysis of traffic crash severities provides significant information for the development of
safety countermeasures. Most available traffic crash datasets contain rich information …
safety countermeasures. Most available traffic crash datasets contain rich information …
xlogit: An open-source Python package for GPU-accelerated estimation of Mixed Logit models
Mixed Logit is an advanced and flexible tool for the study of discrete choice problems.
However, this flexibility involves computationally intensive calculations, as the estimation of …
However, this flexibility involves computationally intensive calculations, as the estimation of …
Factors influencing public awareness of autonomous vehicles: Empirical evidence from Brisbane
Growing concerns, regarding transport disadvantage and increased socioeconomic
disparities, demand innovative ways to improve equity and make transportation systems …
disparities, demand innovative ways to improve equity and make transportation systems …
A random parameters with heterogeneity in means and Lindley approach to analyze crash data with excessive zeros: A case study of head-on heavy vehicle crashes …
This study performed statistical analyses to identify likely crash contributing factors for Head-
on Fatal and Serious Injury (FSI) collisions involving heavy vehicles (HVs) on the …
on Fatal and Serious Injury (FSI) collisions involving heavy vehicles (HVs) on the …
Searching for on-street parking: An empirical investigation of the factors influencing cruise time
This study provides empirical evidence and analyses of cruising time for parking in a dense
urban area. A survey was conducted across three distinct geographical areas in the central …
urban area. A survey was conducted across three distinct geographical areas in the central …
[HTML][HTML] Estimation of discrete choice models considering simultaneously multiple objectives and complex data characteristics
This paper focuses on the discrete choice estimation problem, which involves multiple
objectives and testing a broad range of hypotheses that can affect both interpretability and …
objectives and testing a broad range of hypotheses that can affect both interpretability and …
[PDF][PDF] Choice modelling in the age of machine learning
Since its inception, the choice modelling field has been dominated by theory-driven models.
The recent emergence and growing popularity of machine learning models offer an …
The recent emergence and growing popularity of machine learning models offer an …
[HTML][HTML] Assisted specification of discrete choice models
Determining appropriate utility specifications for discrete choice models is time-consuming
and prone to errors. With the availability of larger and larger datasets, as the number of …
and prone to errors. With the availability of larger and larger datasets, as the number of …