SOCHITRAN - Sociedad Chilena de Ingeniería de Transporte

Blog

May 18

Estimation of crowding factors for public transport during the COVID-19 pandemic in Santiago, Chile

PaulBasnak, RicardoGiesen, Juan CarlosMuñoz https://doi.org/10.1016/j.tra.2022.03.011 Abstract A sharp decrease in public transport demand has been observed during the COVID-19 pandemic around the world. In this context, it is relevant to understand how mode preferences have changed since the surge of COVID-19. In order to better understand how the pandemic changed... read more →
May 18

The effect of economic incentives and cooperation messages on user participation in crowdsourced public transport technologies

The effect of economic incentives... Abstract Transport data is crucial for transport planning and operations. Collecting high-quality data has long been challenging due to the difficulty of achieving adequate spatiotemporal coverage within a representative sample. The increasingly integrated use of Information and Communication technologies in transport systems offers an opportunity... read more →
May 17

FRANZ EDELMAN AWARD 2022 –  INGENIERÍA EN TERRENO DURANTE LA CRISIS COVID EN CHILE

El 12 de mayo pasado nuestro socio Leonardo Basso S. presentó el trabajo realizado en conjunto con el Instituto Sistemas Complejos de Ingeniería (ISCI), del cual es Director, con el que obtuvieron el Franz Edelman Award 2022. Leonardo Basso S. Expositor: Leonardo Basso Sotz, PhDProfesor Titular, Departamento de Ingeniería Civil,... read more →
May 16

Vehicle dispatching plan for minimizing passenger waiting time in a corridor with buses of different sizes: Model formulation and solution approaches

MohammadSadrania AlejandroTirachinibc ConstantinosAntonioua doi.org/10.1016/j.ejor.2021.07.054 Abstract Urban public transportation agencies sometimes have to operate mixing vehicles of different sizes on their routes, due to resource limitations or historical reasons. Services with different passenger-carrying capacities are provided to passengers during a mixed-fleet operation. A fundamental question arising here is how to optimally... read more →
May 13

Indexación de nuestra revista científica Estudios de Transporte (EDTR)

Nuestra revista Estudios de Transporte (EDTR) acaba de recibir la certificación Latindex que considera las revistas de investigación científica, técnico-profesional y de divulgación científica y cultural que se editan en América Latina, el Caribe, España y Portugal, y que cumplen con los más altos estándares de calidad según su metodología (https://www.latindex.org/latindex/postulacion/postulacionCatalogo). Nos parece que... read more →
May 12

Characterizing the adoption and frequency of use of a pooled rides service

MohamedAbouelelaaAlejandroTirachinibcEmmanouilChaniotakisdConstantinosAntonioua https://doi.org/10.1016/j.trc.2022.103632 Abstract Pooled-ride services have a significant potential for reducing traffic externalities and enhancing transportation systems in the urban environment. These services and their users’ characteristics still need further inspection and exploration. We investigated factors encouraging the shift from the currently used modes to pooled-ride-services, the choice between different... read more →
May 04

Headway variability in public transport: a review of metrics, determinants, effects for quality of service and control strategies

Alejandro Tirachini,, Javiera Godachevich, Oded Cats,Juan Carlos Muñoz Jaime Soza-Parra https://doi.org/10.1080/01441647.2021.1977415 ABSTRACT The most relevant issues related to headway variability in public transport planning, operations and quality of service are reviewed in this paper. We discuss the causes and consequences of headway variability, the alternative metrics that have been proposed... read more →
May 02

A systematic comparative evaluation of machine learning classifiers and discrete choice models for travel mode choice in the presence of response heterogeneity

PatricioSalasaRodrigoDe la FuenteaSebastianAstrozaacJuan AntonioCarrascobc A systematic comparative evaluation of machine learning classifiers and discrete choice models for travel mode choice in the presence of response heterogeneity Abstract Discrete choice models has been for decades the most used technique to model travel mode choice, being the multinomial logit (MNL) the most... read more →
Abr 29
Abr 29