Blog

Camila Balbontin, David A. Hensher & Matthew J. Beck Abstract The COVID-19 pandemic has reshaped the way we live and travel, possibly for many years to come. The ‘New Normal’ seems to be one that is best associated with living with COVID-19 rather that ‘after COVID-19’. After a year or more since the... read more →

David A. Hensher, Matthew J. Beck y Camila Balbontin Abstract The COVID-19 pandemic has had a significant impact on the world of work. With growing support and preference revelation from both employees and employers, we might anticipate a settling in of working from home around one to two days a week, varying by occupation... read more →

Xiaobo Qu, Jonas Eliasson, Zuo-Jun Max Shen, Fang He, Juan de Dios Ortúzar & Kai Wang In recent years, rapid urbanization, population growth, and increasing concerns about climate change have led to a growing demand for innovative and sustainable transportation solutions. As we strive to meet these challenges, the development of next-generation smart transportation systems has... read more →

Muchlis Muchlisin, Jaime Soza-Parra & Dick Ettema Abstract The study aims to assess the impact of information and communication technology (ICT) on travel and out-of-home activity by analyzing primary data collected from ride-hailing app users in Yogyakarta Province, Indonesia. The data was analyzed using a random effect ordered logistic panel model. The results... read more →

Sergio Jara-Diaz & Esteban Muñoz-Paulsen Abstract Investment in urban public transportation involves strategic decisions regarding the organization of transit lines in the urban space and the choice of their technology in addition to the size of both fleet and vehicles of each line, and their spacing (lines density). The parametric city model... 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 optimizes employee benefits to minimize total costs, focusing on turnover management The methodology models employee decision-making using a discrete choice... read more →

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 studies indicate that SAVs would attract mostly public transport users, leading to an increase in VKT. This paper is among... read more →