What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Machine learning
TA Theo Arentze spends much of his time researching Operations research, Travel behavior, Mode choice, Artificial intelligence and Bayesian probability.
His work deals with themes such as Marketing, Data collection and Discrete choice, which intersect with Operations research.
TA Theo Arentze combines subjects such as Social relation, Social dynamics, Computer simulation, Dynamics and Structural equation modeling with his study of Travel behavior.
His work carried out in the field of Mode choice brings together such families of science as Logit, Adaptation and Presentation.
His research in Artificial intelligence intersects with topics in Routing, Machine learning and Pattern recognition.
His Bayesian probability research includes elements of Bayesian network and Compliance.
His most cited work include:
- A learning-based transportation oriented simulation system (433 citations)
- ALBATROSS : a learning based transportation oriented simulation system (256 citations)
- A Random Regret-Minimization model of travel choice (219 citations)
What are the main themes of his work throughout his whole career to date?
Operations research, Travel behavior, Econometrics, Artificial intelligence and Marketing are his primary areas of study.
He has included themes like TRIPS architecture, Function, Process and Set in his Operations research study.
His study in Travel behavior is interdisciplinary in nature, drawing from both Social psychology, Data collection, Mode choice, Simulation and Adaptation.
He studies Social relation which is a part of Social psychology.
His Econometrics research incorporates elements of Estimation, Duration and Rule-based system.
TA Theo Arentze works in the field of Artificial intelligence, focusing on Decision tree in particular.
He most often published in these fields:
- Operations research (20.47%)
- Travel behavior (17.06%)
- Econometrics (13.29%)
What were the highlights of his more recent work (between 2014-2021)?
- Marketing (9.34%)
- Travel behavior (17.06%)
- Econometrics (13.29%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Marketing, Travel behavior, Econometrics, Corporate Real Estate and Process.
His Laddering study in the realm of Marketing connects with subjects such as Respondent.
His Travel behavior research is multidisciplinary, relying on both Choice set and Social network.
His biological study spans a wide range of topics, including Price analysis, Knowledge sharing, Multinomial logistic regression and Urban planning.
The Process study combines topics in areas such as Knowledge management, Space and Artificial intelligence.
In his papers, TA Theo Arentze integrates diverse fields, such as Structure and Operations research.
Between 2014 and 2021, his most popular works were:
- Effects of land-use transport scenarios on travel patterns: a multi-state supernetwork application (31 citations)
- Analysing user preferences for co-working space characteristics (26 citations)
- Bicycle commuting in the Netherlands: An analysis of modal shift and its dependence on life cycle and mobility events (26 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Machine learning
His main research concerns Knowledge management, Social psychology, Mode choice, Transport engineering and Travel behavior.
His Social psychology research integrates issues from Path analysis and Data collection.
He interconnects Maximum likelihood, Stated choice and Preference in the investigation of issues within Mode choice.
In general Transport engineering, his work in Transportation planning is often linked to Modal linking many areas of study.
The study incorporates disciplines such as Emerging markets, Multimodal transport and Traffic congestion in addition to Travel behavior.
His Software agent study deals with Flow network intersecting with Operations research.
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