In recent decades, transportation planning researchers have used diverse types of machine
learning (ML) algorithms to research a wide range of topics. This review paper starts with a …

Developing sustainable transportation systems in a city can be substantially assisted by
promoting environmentally friendly transportation modes such as walking, cycling, and …

Sustaining and improving passengers' loyalty has become an effective strategy for the
development of bus priority. Passengers' loyalty towards public transportation could be …

Little research has examined the behavior of public transport users in response to a service
disruption that has just occurred. This article aims to identify the different ways in which …

Buses represent the main mode for intercity passenger transportation in China. In recent
years, a multichannel ticketing strategy has been widely employed in the bus passenger …

In small, underdeveloped Chinese cities, residents have few options for transportation and
travel service problems have not received enough attention from the authorities. This study …

The paper presents some results of the EU project KLIMATe, funded by the EIT Climate.
KLIMATe explores the market potential for implementing a Mobility as a Service (MaaS) …

Purpose: Many policies aimed at developing sustainable transport are based on a (partial)
exclusion of car drivers and on a decrease in rivalry between different transport users. In this …

Dependence on car use generates adverse effects on the sustainability of our urban
environment due to air and noise pollution and global warming. Along with technological …

En décadas recientes, los investigadores de planificación de transporte han usado diversos
tipos de algoritmos de Machine Learning (ML, por sus siglas en inglés) para investigar un …