Review of transit data sources: potentials, challenges and complementarity

L Ge, M Sarhani, S Voß, L Xie - Sustainability, 2021 - mdpi.com
Public transport has become one of the major transport options, especially when it comes to
reducing motorized individual transport and achieving sustainability while reducing …

An interdisciplinary survey on origin-destination flows modeling: Theory and techniques

C Rong, J Ding, Y Li - arXiv preprint arXiv:2306.10048, 2023 - arxiv.org
Origin-destination~(OD) flow modeling is an extensively researched subject across multiple
disciplines, such as the investigation of travel demand in transportation and spatial …

Efficient capacity allocation on deregulated railway markets

E Broman, J Eliasson, M Aronsson - Journal of Rail Transport Planning & …, 2022 - Elsevier
As railway markets are increasingly deregulated, coordinating and prioritising between
capacity requests becomes more complex and more important. This paper describes the …

Intermunicipal travel networks of mexico during the covid-19 pandemic

O Fontanelli, P Guzmán, A Meneses-Viveros… - Scientific Reports, 2023 - nature.com
Human mobility networks are widely used for diverse studies in geography, sociology, and
economics. In these networks, nodes usually represent places or regions and links refer to …

Specifics of Creating a Public Transport Demand Model for Low-Density Regions: Lithuanian Case

J Ranceva, R Ušpalytė-Vitkūnienė - Sustainability, 2024 - mdpi.com
A transport model usually consists of a demand model and an available transport network
model. The purpose of this article is to identify the key specifics for the development of a …

Mapping human mobility variation and identifying critical services during a disaster using dynamic mobility network

Z Wei, S Mukherjee - IIE Annual Conference. Proceedings, 2022 - search.proquest.com
Accurately analyzing human movement patterns is of importance for building community
resilience during a disaster. Conventionally, surveys and call detail records are commonly …

[HTML][HTML] The impact of access prices on train traffic: An econometric study for France

CA Olarte-Bacares, J Brunel, D Sigaud - Transportation Research …, 2022 - Elsevier
To guarantee fair and nondiscriminatory access to rail networks, European Commission
raised the importance of regulation by promoting short run marginal cost. Thus, to recover …

Estimating Passenger Demand Using Machine Learning Models: A Systematic Review

A Boateng, CA Adams… - E3S Web of …, 2023 - e3s-conferences.org
This article investigated machine learning models used to estimate passenger demand.
These models have the potential to provide valuable insights into passenger trip behaviour …

[HTML][HTML] Are commuter train timetables consistent with passengers' valuations of waiting times and in-vehicle crowding?

AA Ali, J Eliasson, J Warg - Transport Policy, 2022 - Elsevier
Social cost-benefit analysis is often used to analyse transport investments, and can also be
used for transport operation planning and capacity allocation. If it is to be used for resolving …

Routes Analysis and Dependency Detection Based on Traffic Volume: A Deep Learning Approach

M Esmaeili, E Nazerfard - … Conference on Artificial Intelligence and Smart …, 2023 - Springer
The previous decades have witnessed the remarkable growth of information technology and
the emergence of novel algorithms in identifying and predicting future situations …