Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Rico Krueger"'
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 27, Iss , Pp 101183- (2024)
Understanding mobility dynamics and their influence on epidemic spread is crucial for effective management strategies, a concept that, despite its importance, has received limited integration in traditional epidemiological models. This study introduc
Externí odkaz:
https://doaj.org/article/e4447bcd79e14a41b120b2b623746d48
Publikováno v:
Transportation Research Part A-Policy and Practice, 160, 45-60. Elsevier Limited
Bansal, P, Kessels, R, Krueger, R & Graham, D J 2022, ' Preferences for using the London Underground during the COVID-19 pandemic ', Transportation Research Part A: Policy and Practice, vol. 160, pp. 45-60 . https://doi.org/10.1016/j.tra.2022.03.033
Bansal, P, Kessels, R, Krueger, R & Graham, D J 2022, ' Preferences for using the London Underground during the COVID-19 pandemic ', Transportation Research Part A: Policy and Practice, vol. 160, pp. 45-60 . https://doi.org/10.1016/j.tra.2022.03.033
The COVID-19 pandemic has drastically impacted people's travel behaviour and introduced uncertainty in the demand for public transport. To investigate user preferences for travel by London Underground during the pandemic, we conducted a stated choice
Publikováno v:
Statistics and Computing. 33
Outliers in discrete choice response data may result from misclassification and misreporting of the response variable and from choice behaviour that is inconsistent with modelling assumptions (e.g. random utility maximisation). In the presence of out
Publikováno v:
Transportation.
This paper presents a novel activity-based demand model that combines an optimisation framework for continuous temporal scheduling decisions (i.e. activity timings and durations) with traditional discrete choice models for non-temporal choice dimensi
Autor:
Rico Krueger, Ricardo A. Daziano
Publikováno v:
Krueger, R & Daziano, R A 2022, ' Stated choice analysis of preferences for COVID-19 vaccines using the Choquet integral ', Journal of Choice Modelling, vol. 45, 100385 . https://doi.org/10.1016/j.jocm.2022.100385
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
India has the world’s third highest carbon dioxide (CO2) emissions, after China and the United States. The transportation sector is the third largest contributor to carbon dioxide emissions in India, accounting for roughly 11% of all carbon dioxide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9853938e9a805ac4f3596cc9c35c40d4
https://doi.org/10.30573/ks--2021-dp13
https://doi.org/10.30573/ks--2021-dp13
Publikováno v:
Transportation Research Part F: Traffic Psychology and Behaviour. 65:334-343
This paper presents an empirical analysis of a survey among public transit users in the Chicago metropolitan area. The survey collected information about travelers’ general preferences for travel-based multi-tasking during public transit use, revea
Publikováno v:
Transportation. 47:2203-2231
Recent research has contrasted the travel patterns of young adults of Generation Y (or, synonymously, the Millennial Generation) with the travel patterns of earlier generations of young adults such as those belonging to Generation X. Young adults of
The identification of accident hot spots is a central task of road safety management. Bayesian count data models have emerged as the workhorse method for producing probabilistic rankings of hazardous sites in road networks. Typically, these methods a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53bf312d1264ce6ba980d033ffa2f6c6
http://arxiv.org/abs/2005.11738
http://arxiv.org/abs/2005.11738
Publikováno v:
Journal of Choice Modelling. 41:100323
Mixed logit models with unobserved inter- and intra-individual heterogeneity hierarchically extend standard mixed logit models by allowing tastes to vary randomly both across individuals and across choice situations encountered by the same individual