A systematic review of machine learning classification methodologies for modelling passenger mode choice
Abstract Machine Learning (ML) approaches are increasingly being investigated as an
alternative to Random Utility Models (RUMs) for modelling passenger mode choice. These …
alternative to Random Utility Models (RUMs) for modelling passenger mode choice. These …
Applying a random forest method approach to model travel mode choice behavior
The analysis of travel mode choice is important in transportation planning and policy-making
in order to understand and forecast travel demands. Research in the field of machine …
in order to understand and forecast travel demands. Research in the field of machine …
Predicting the travel mode choice with interpretable machine learning techniques: A comparative study
MT Kashifi, A Jamal, MS Kashefi… - Travel Behaviour and …, 2022 - Elsevier
Prediction of mode choice for travelers has been the subject of keen interest among
transportation planners. Traditionally, mode choice analysis is conducted by statistical …
transportation planners. Traditionally, mode choice analysis is conducted by statistical …
School travel mode choice in Beijing, China
R Zhang, E Yao, Z Liu - Journal of transport geography, 2017 - Elsevier
This study explores school travel mode choice behavior of 7–18 year-old students in Beijing,
China, based on the data collected in Fifth Travel Survey of Beijing Inhabitants. The …
China, based on the data collected in Fifth Travel Survey of Beijing Inhabitants. The …
Gender gap generators for bicycle mode choice in Baltimore college campuses
This study explores the gender equity in bicycle mode choice and obstacles preventing
women from bicycling to promote biking on major college campuses in the Baltimore …
women from bicycling to promote biking on major college campuses in the Baltimore …
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark
Researchers have compared machine learning (ML) classifiers and discrete choice models
(DCMs) in predicting travel behavior, but the generalizability of the findings is limited by the …
(DCMs) in predicting travel behavior, but the generalizability of the findings is limited by the …
The identification of significant features towards travel mode choice and its prediction via optimised random forest classifier: An evaluation for active commuting …
Introduction Physical activity is the foundation to staying healthy, but sedentary activities
have become not uncommon that ought to be mitigated immediately. The study aims to …
have become not uncommon that ought to be mitigated immediately. The study aims to …
Investigating impacts of asphalt mixture properties on pavement performance using LTPP data through random forests
Numerous laboratory studies have demonstrated that the properties of hot-mix asphalt
(HMA) play a crucial role in the performance of the HMA. However, few studies have directly …
(HMA) play a crucial role in the performance of the HMA. However, few studies have directly …
Public transit, active travel, and the journey to school: a cross-nested logit analysis
A Ermagun, D Levinson - Transportmetrica A: Transport Science, 2017 - Taylor & Francis
Like walking and biking, public transit presents an opportunity to accomplish a portion of the
recommended daily physical activity. Much of the previous research has been limited to …
recommended daily physical activity. Much of the previous research has been limited to …
Gender differences in the user satisfaction and service quality improvement priority of public transit bus system in Porto Alegre and Fortaleza, Brazil
Previous studies have shown that the rider satisfaction on bus services vary between males
and females. As women make a significant number of transit trips in developing countries …
and females. As women make a significant number of transit trips in developing countries …