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Crowdedness information and travel decisions of pedestrians and public transport users in the COVID-19 era: A stated preference analysis

Karatsoli, Maria (author), Nathanail, Eftihia (author), Basbas, Socrates (author), Cats, O. (author)

The COVID-19 pandemic has impacted people's everyday lives, as avoiding being in crowded places became the number one societal rule. Crowdedness has therefore increasingly affected decisions such as a place visit via a specific path, the selection of a public transport stop, itinerary, etc., thereby making related information increasingly...

journal article 2024

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Does Crowdshipping of Parcels Generate New Passenger Trips? Evidence from the Netherlands

Cebeci, M.S. (author), Tapia, Rodrigo Javier (author), Nadi Najafabadi, A. (author), de Bok, M.A. (author), Tavasszy, Lorant (author)

Crowdsourced shipping or crowdshipping is a promising solution to sustainable parcel delivery, owing to the potential to consolidate freight trips with preexisting passenger trips. Previous literature focuses on these consolidation benefits but does not address the possibility of new activity generation in crowdshipping. In this study, we...

journal article 2023

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Towards machine learning for moral choice analysis in health economics: A literature review and research agenda

Smeele, Nicholas V.R. (author), Chorus, C.G. (author), Schermer, Maartje H.N. (author), de Bekker-Grob, Esther W. (author)

Background: Discrete choice models (DCMs) for moral choice analysis will likely lead to erroneous model outcomes and misguided policy recommendations, as only some characteristics of moral decision-making are considered. Machine learning (ML) is recently gaining interest in the field of discrete choice modelling. This paper explores the...

review 2023

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Moral rhetoric in discrete choice models: a Natural Language Processing approach

Szép, T. (author), van Cranenburgh, S. (author), Chorus, C.G. (author)

This paper proposes a new method to combine choice- and text data to infer moral motivations from people’s actions. To do this, we rely on moral rhetoric, in other words, extracting moral values from verbal expressions with Natural Language Processing techniques. We use moral rhetoric based on a well-established moral, psychological theory...

journal article 2023

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Identifying moral antecedents of decision-making in discrete choice models

Szép, T. (author)

Discrete Choice Models are valuable tools for quantitative decision-making analysis: they allow analysts to draw behavioural conclusions from data, better understand and predict choices, and evaluate policies. However, up until recently, they had a blind spot for morality. Moral values often play an essential role in decision-making; fairness or...

doctoral thesis 2022

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An empirical demand model for e commerce

de Bok, M.A. (author), Eggers, Larissa (author), Thoen, Sebastiaan (author), de Jong, Gerard (author)

1. Overview and motivation<br/><br/>The emergence of e-commerce in the past decade and the surging growth during the pandemic, partially at the cost of in-store shopping, have reinforced the need for a better representation of this type of consumer demand and its effects in urban transportation studies (Reiffer et al, 2021). Since this is a...

poster 2022

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CHAIRS: A choice-based air transport simulator applied to airline competition and revenue management

Fukushi, Mitsuyoshi (author), Delgado, Felipe (author), Raveau, Sebastián (author), Santos, Bruno F. (author)

In Revenue Management (RM) systems, information censoring and the interaction between the forecasting and optimization stages, increases the costs and complexity of performance analysis using historical data. An affordable and suitable alternative is using simulations, but appropriate behavioral models must be considered. In the following...

journal article 2022

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Shippers’ willingness to use flexible transportation services

Khakdaman, M. (author), Rezaei, J. (author), Tavasszy, Lorant (author)

Factors driving the choice of shipper firms for services of logistics service providers have long been recognized in the freight transportation literature. However, the willingness among shippers to choose flexible transportation services, where the service package can be adapted during planning and execution, has received less attention. In...

journal article 2022

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Cyclists in Motion: from data collection to behavioural models

Gavriilidou, A. (author)

As the title suggests, cyclists are the main topic of this dissertation<br/>and more specifically, their behaviour while they are ‘in motion’. The<br/>term ‘in motion’ is used in the title to represent microscopic operational<br/>cycling behaviour, which is the behaviour of cyclists, treated as individuals<br/>(microscopic level), while they are...

doctoral thesis 2021

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Estimating decision rule differences between ‘best’ and ‘worst’ choices in a sequential best worst discrete choice experiment

Geržinič, N. (author), van Cranenburgh, S. (author), Cats, O. (author), Lancsar, Emily (author), Chorus, C.G. (author)

Since the introduction of Discrete Choice Analysis, countless efforts have been made to enhance the efficiency of data collection through choice experiments and to improve the behavioural realism of choice models. One example development in data collection are best-worst discrete choice experiments (BWDCE), which have the benefit of obtaining...

journal article 2021

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Descriptive modeling of freight tour formation: A shipment-based approach

Thoen, Sebastiaan (author), Tavasszy, Lorant (author), de Bok, M.A. (author), van Duin, Ron (author)

An increasing amount of research is dedicated to the consideration of tour formation in freight transportation demand models. While empirical tour formation models so far have been starting from limiting assumptions about the resulting trips, we develop a generalized shipment-based model. We formulate a random utility model embedded in an...

journal article 2020

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Shippers’ willingness to delegate modal control in freight transportation

Khakdaman, M. (author), Rezaei, J. (author), Tavasszy, Lorant (author)

This paper investigates the willingness of shippers to delegate control over the transportation mode in freight transportation, using discrete choice analysis. Data originate from a large survey among global shippers. The results show that, under certain conditions, most shippers are willing to hand over mode selection authority to the...

journal article 2020

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Endogeneity in adaptive choice contexts: Choice-based recommender systems and adaptive stated preferences surveys

Danaf, Mazen (author), Guevara, Angelo (author), Atasoy, B. (author), Ben-Akiva, Moshe (author)

Endogeneity arises in discrete choice models due to several factors and results in inconsistent estimates of the model parameters. In adaptive choice contexts such as choice-based recommender systems and adaptive stated preferences (ASP) surveys, endogeneity is expected because the attributes presented to an individual in a specific menu (or...

journal article 2020

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An artificial neural network based method to uncover the value-of-travel-time distribution

van Cranenburgh, S. (author), Kouwenhoven, M.L.A. (author)

This study proposes a novel Artificial Neural Network (ANN) based method to derive the Value-of-Travel-Time (VTT) distribution. The strength of this method is that it is possible to uncover the VTT distribution (and its moments) without making assumptions about the shape of the distribution or the error terms, while being able to incorporate...

journal article 2020

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Estimation of a recursive link-based logit model and link flows in a sensor equipped network

van Oijen, T.P. (author), Daamen, W. (author), Hoogendoorn, S.P. (author)

This paper describes a method to estimate the parameters of a Recursive link-based Logit model (RL) using measurements of a set of spatially fixed proximity sensors, with limited hit rates, which can uniquely identify people, such as Wi-Fi-, RFID- or Bluetooth-sensors. The observed ‘route’ of an individual, where we focus on pedestrians in an...

journal article 2020

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Willingness to share rides in on-demand services for different market segments

Alonso González, M.J. (author), Cats, O. (author), van Oort, N. (author), Hoogendoorn-Lanser, S. (author), Hoogendoorn, S.P. (author)

The impact of on-demand urban transport services on traffic reduction will depend on the willingness to share (WTS) of individuals. However, the extent to which individuals are willing to share remains largely unknown. By means of a stated preference experiment, this study analyses the WTS of respondents by comparing their preferences towards...

conference paper 2019

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On the impact of vehicle automation on the value of travel time while performing work and leisure activities in a car: Theoretical insights and results from a stated preference survey

Correia, Gonçalo (author), de Looff, Erwin (author), van Cranenburgh, S. (author), Snelder, M. (author), van Arem, B. (author)

Many experts believe the transport system is about to change dramatically. This change is due to so-called fully-automated vehicles (AVs). However, at present, there are numerous important knowledge gaps that need to be solved for the successful integration of AVs in our transport systems, in particular regarding the impacts of AVs on travel...

journal article 2019

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Using Artificial Neural Networks for Recovering the Value-of-Travel-Time Distribution

van Cranenburgh, S. (author), Kouwenhoven, M.L.A. (author)

The Value-of-Travel-Time (VTT) expresses travel time gains into monetary benefits. In the field of transport, this measure plays a decisive role in the Cost-Benefit Analyses of transport policies and infrastructure projects as well as in travel demand modelling. Traditionally, theory-driven discrete choice models are used to infer the VTT...

conference paper 2019

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Driver Behaviour during Control Transitions between Adaptive Cruise Control and Manual Driving: Empirics and Models

Varotto, S.F. (author)

Adaptive Cruise Control (ACC) and automated vehicles can contribute to reduce traffic congestion and accidents. Field operational Tests have shown that drivers may prefer to deactivate ACC systems that are inactive at low speeds in dense traffic conditions and before changing lanes. These transitions between automated and manual driving are...

doctoral thesis 2018

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Secure or usable computers? Revealing employees’ perceptions and trade-offs by means of a discrete choice experiment

Molin, E.J.E. (author), Meeuwisse, Kirsten (author), Pieters, W. (author), Chorus, C.G. (author)

It is often suggested in the literature that employees regard technical security measures (TSMs) as user-unfriendly, indicating a trade-off between security and usability. However, there is little empirical evidence of such a trade-off, nor about the strength of the associated negative correlation and the importance employees attach to both...

journal article 2018