Andrés Fielbaum, Baiba Pudāne Abstract Simulation studies suggest that Shared Automated Vehicles (SAVs) could reduce the total vehicle kilometres travelled (VKT) thanks to efficiently pooling multiple users in one vehicle. However, mode choice... read more →
Ignacio Tiznado-Aitken y Steven Farber Abstract While urban regions continue to grow, much of the urbanization that is occurring is better described as suburbanization. This is generating and will continue to... read more →
Muchlis Muchlisin, Jaime Soza-Parra, Yusak O. Susilo, Dick Ettema Abstract This study provides valuable insights into ride-hailing trip patterns among various income groups, including lower-income groups and those living below the poverty line, groups often overlooked in... read more →
Fernando González-Solano, Gina Galindo, Rosa G. González-Ramírez, Héctor López-Ospina y Daniel Romero-Rodriguez ABSTRACT Disruptive events increasingly challenge global port operations and infrastructure, emphasizing the need for robust resilience plans to maintain... read more →
Rafael Delpiano, Juan Carlos Herrera Abstract Data provided by floating vehicles have the same limitation as that provided by an imperfect stationary detector that undercounts vehicles: they provide data from an unknown proportion... read more →
Sebastian Astroza, Ricardo Hurtubia, Alejandro Tirachini, Angelo Guevara, Juan Antonio Carrasco, Patricio Salas y Marcela Munizaga Abstract The COVID-19 pandemic triggered an unprecedented increase in telework, a trend expected to have lasting effects on the labor market and commuting patterns, including location... read more →
Camila Balbontín, Corinne Mulley Abstract Public transport projects are expensive, long-lived and their funding is often a challenge. As a result, relevant authorities around the world are concerned in understanding the economic impacts... read more →
Xiao Fu,Yi Zhang, Juan de Dios Ortúzar & Guonian Lü ABSTRACT We provide a comprehensive review of the literature on inferring activity-travel patterns (ATP) using multi-source big data; the increasing number... read more →
Andrés Fielbaum, Sergio Jara-Díaz & Javier Alonso-Mora Abstract Integrating on-demand services into public transport networks might be the best way to face the current situation in which these new technologies have increased congestion... read more →
Paolo Latorre, Héctor López-Ospina, Sebastián Maldonado, C. Angelo Guevara, Juan Pérez Abstract Employee turnover significantly impacts organizations, particularly those with substantial investments in training their workforce. To mitigate these effects, we propose a Prescriptive Human Resources Analytics approach that... read more →