Basil Schmid

ETH Zurich | ETH Zürich · Civil Engineering

This paper presents results of a unique stated choice (SC) experiment to uncover the determinants of grocery shopping channel choice during the first wave of COVID-19 infections, where the most restrictive containment measures were in place. The choice sets were framed under regular and pandemic conditions, allowing for the estimation of pandemic-s...

To better understand the choice behavior of train route schedulers and to predict their choices for optimizing the annual construction schedule, prospective data for 2020 on train route decisions are analyzed using discrete choice models and machine learning classifiers. The choice alternatives include (i) partial cancellation of the train schedule...

A well-known problem in Household Travel Surveys (HTS) is item-nonresponse, which occurs when complete trips are not reported or only partial information for trips is given. This article presents a comprehensive data validation effort (data completion and correction through immediate call-backs of the survey participants) on travel and non-travel i...

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 assigned to travel (VTAT), representing the travel conditions of a trip. Their relative values indicate which dimension to emphasize w...

We use state-of-the art estimation approaches to obtain mode-specific values of travel time savings (VTTS) based on pooled RP/SP travel choice data of Zurich workers. Unlike the large majority of time valuation studies, we also have data on the respondents’ time-use and expenditure allocation, which enables us to estimate their value of leisure (Vo...

Every five years, the Mobility and Transport Microcensus (MTMC), a one-day CATI diary survey representative of the Swiss population in terms of socio-economics and trip characteristics, is carried out. In the year 2015, for the second time after 2010, an additional stated preference (SP) survey on respondents’ mode and route choices was linked to t...

Based on a time-use model with a sound theoretical basis and carefully collected data for Austria, the value of leisure (VoL) for different population segments has been estimated. Through the combination of these results with mode-specific values of travel time savings from a related study based on the same data, the first mode-specific values of t...

Every five years, the Mobility and Transport Microcensus (MTMC), a one-day CATI diary survey representative of the Swiss population in terms of socio-economics and trip characteristics, is carried out. In the year 2015, for the second time after 2010, an additional stated preference (SP) survey on respondents´ mode and route choices was linked to t...

This paper presents the joint time-use, expenditure and mode choice model, based on the theoretical framework of Jara-Díaz and Guevara (2003), for the first time estimated in panel setting while using surveyed expenditure data. This extended estimation takes into account multiple trips per individual, as well as mode availability. The model was est...

Being of great importance for transportation policy appraisals, we investigate mode and user-type effects in the value of travel time savings (VTTS) using a pooled RP/SP Mixed Logit modeling approach for mode, route and destination choice data. For a representative sample of Austrian workers, our analysis reveals population-weighted median VTTS est...

The random regret minimization (RRM) model considers the relative performance of the alternatives and is therefore context-dependent. In RRM, an individual, when choosing between alternatives, is assumed to minimize anticipated regret as opposed to maximize his/her utility. There are three variants of RRM, the classical CRRM, the µRRM, and the P-RR...

This paper reports on the link between a well-defined measure of response burden and response rates among all (uncommitted) and pre-recruited respondents. We show within the limits of our sample of 68 survey waves (including pre-tests; resulting from 35 studies) that the response burden impact is mediated by the level of the commitment of the respo...

The main research question addressed by this study is to what degree individuals would change travel modes, time allocation and activity patterns after experiencing large changes in generalized transportation costs and how they would react regarding their longer-term ownership in mobility tools, assessing suppressed demand effects from an activity-...

Integrated choice and latent variable (ICLV) models are increasingly considered in many fields as a means to gain a deeper understanding into the decision process of individuals as well as to potentially improve predictive ability. Literature has shown that the application of ICLV in context of shopping destination choice has not been conducted yet...

This paper aims at explaining the choice between online and in-store shopping for typical search and experience goods (standard electronic appliances and groceries) within an artificial experimental setting assuming no privately owned cars. We present the first alternative-specific integrated choice and latent variable (ICLV) model using stated pre...

Individual travel behavior is to a large extent shaped by the respective portfolio of available mobility tools such as cars, season-tickets or a car-sharing membership. However, the choices of different mobility tools are interdependent and are also affected by individual attitudes. This paper presents an approach to jointly model the choice of fou...

When facing several alternatives, people are often assumed to choose the alternative which maximizes their utilities. This concept is widely known as random utility maximization (RUM). In transportation research, one of the most famous modeling techniques based on this idea, e.g. for modeling mode choice, is the multinomial logit (MNL) approach. Re...