A dynamic choice model to estimate the user cost of crowding with large-scale transit data
Efficient mass transit provision should be responsive to the behaviour of passengers.
Operators often conduct surveys to elicit passenger perspectives, but these can be …
Operators often conduct surveys to elicit passenger perspectives, but these can be …
A random-utility-consistent machine learning method to estimate agents' joint activity scheduling choice from a ubiquitous data set
We propose an agent-based mixed-logit model (AMXL) that is estimated with inverse
optimization (IO) estimation, an agent-level machine learning method theoretically …
optimization (IO) estimation, an agent-level machine learning method theoretically …
[HTML][HTML] Distribution-free estimation of individual parameter logit (IPL) models using combined evolutionary and optimization algorithms
J Swait - Journal of choice modelling, 2023 - Elsevier
When estimating random coefficients models from choice data, decisions relating to the
multivariate density function assumed to describe preference heterogeneity across the …
multivariate density function assumed to describe preference heterogeneity across the …
Differential impacts of autonomous and connected-autonomous vehicles on household residential location
High market penetration of autonomous vehicles (AVs) and connected-autonomous vehicles
(CAVs) is expected to impact transportation network performance, which is an important …
(CAVs) is expected to impact transportation network performance, which is an important …
A prediction and behavioural analysis of machine learning methods for modelling travel mode choice
JÁ Martín-Baos, JA López-Gómez… - … research part C …, 2023 - Elsevier
The emergence of a variety of Machine Learning (ML) approaches for travel mode choice
prediction poses an interesting question to transport modellers: which models should be …
prediction poses an interesting question to transport modellers: which models should be …
[HTML][HTML] Revealing and reducing bias when modelling choice behaviour on imbalanced panel datasets
The emergence of modern tools and technologies gives a unique opportunity to collect large
amounts of data for understanding behaviour. However, the generated datasets are often …
amounts of data for understanding behaviour. However, the generated datasets are often …
Visual hazardous models: a hybrid approach to investigate road hazardous events
H Rangam, SK Sivasankaran… - Accident Analysis & …, 2024 - Elsevier
Road users (drivers, passengers, pedestrians, and Animals) are exposed to hazardous
events during their commute. With 23% of global fatalities among pedestrians, their safety …
events during their commute. With 23% of global fatalities among pedestrians, their safety …
An exploratory analysis of factors that encourage students to choose sustainable modes in travelling to schools: evidence from Victoria, Australia
Travelling using sustainable modes, such as active transport and public transport, improves
students' well-being and mental health, and bolsters sustainability. This study aims to …
students' well-being and mental health, and bolsters sustainability. This study aims to …
Exploring the Role of Shared Mobility in Alleviating Private Car Dependence and On-Road Carbon Emissions in the Context of COVID-19
X Zhang, C Shao, B Wang, S Huang, X Mi… - Frontiers in …, 2022 - frontiersin.org
Shared mobility is becoming increasingly popular worldwide, and travelers show more
complex choice preferences during the post-pandemic era. This study explored the role of …
complex choice preferences during the post-pandemic era. This study explored the role of …
Mobility-on-Demand Transit for Smart and Sustainable Cities
This project studies how Mobility-on-Demand (MOD) transit systems can contribute to
building smart, sustainable, and equitable cities in the US The first thrust is a collaborative …
building smart, sustainable, and equitable cities in the US The first thrust is a collaborative …