Blog

J. de D. Ortúzar Introduction A recent paper by Horbachov et al. (2022) discusses the issue of sample size for urban travel demand modelling. The paper has some interesting ideas, but fails to consider the state of practice adequately and also makes a number of not quite true summary statements,... read more →

Simona Jokubauskaitė, Reinhard Hössinger, Sergio Jara-Díaz, Stefanie Peer, Alyssa Schneebaum, Basil Schmid, Florian Aschauer, Regine Gerike, Kay W. Axhausen & Friedrich Leisch Abstract The value of travel time savings (VTTS) representing the willingness to pay to reduce travel time, consists of two components: the value of liberating time [equal to the value of leisure (VoL)] and the value of time... read more →

Sebastian Seriani, Vicente Perez, Vicente Aprigliano and Taku Fujiyama Abstract The objective of this work is to study the sensitivity of cyclists who are overtaken by a motor vehicle in a street route without cycling lanes. To achieve this, an experimental method is proposed in which 17 cyclists were recruited and... read more →

Jesper Bláfoss Ingvardson, Mikkel Thorhauge, Sigal Kaplan, Otto Anker Nielsen & Sebastián Raveau Abstract This study proposes an integrated choice and latent variable model (ICLV) for commute mode choice that incorporates satisfaction of human needs and perceived functional and psychological barriers to using certain modes. The modelling framework is validated by data from a survey... read more →

Paola Velásquez Betancourt , Romina Alvarez, Nelson Felipe Santander González, Ricardo Hurtubia  Resumen ¿Cómo abordar la experiencia de habitar con foco en la percepción de los habitantes? ¿Qué aporta la integración de dimensiones cuantitativas y cualitativas que sitúan al habitante en el centro de la investigación? Son las preguntas que busca... read more →

Xiaoxia Dong, Erick Guerra, Ricardo A. Daziano, Promit Chatterjee, Nata Kovalova Abstract We investigate the effects of travel duration and trip costs on mode choice between shared (e.g., Uber) and non-shared (e.g., the former Uber Pool) ride-hailing services. Using the City of Chicago as a case study, we employ a... read more →

Ricardo A. Daziano Abstract Background Using choice microdata (N=2723) across the USA, this paper analyzes elicited acceptance of hypothetical COVID-19 vaccines. Methods The hypothetical vaccines in a choice experiment were described in terms of effectiveness, days for antibodies to develop, duration of protection, risk of both mild and severe side... read more →

Rico Krueger, Ricardo A.Daziano Abstract We investigate preferences for COVID-19 vaccines using data from a stated choice survey conducted in the US in March 2021. To analyse the data, we embed the Choquet integral, a flexible aggregation operator for capturing attribute interactions under monotonicity constraints, into a mixed logit model.... read more →

Xiaoxia Dong, Erick Guerra & Ricardo A. Daziano Abstract We compare responses from an online survey among 700 customers of transportation network companies (TNC) in Boston and Philadelphia to investigate TNC’s impact on vehicle ownership, trip making, and mode choice. We first use a qualitative comparative analysis to examine changes in respondents’ travel... read more →