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Sascha Hoogendoorn-Lanser

Researcher at Delft University of Technology

Publications -  49
Citations -  1287

Sascha Hoogendoorn-Lanser is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Mode choice & Choice set. The author has an hindex of 16, co-authored 46 publications receiving 891 citations. Previous affiliations of Sascha Hoogendoorn-Lanser include Rijkswaterstaat.

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Investigating the Shape of the Macroscopic Fundamental Diagram Using Simulation Data

TL;DR: Results indicate that a relationship indeed exists between production and accumulation for the whole network as well as for parts of the network focused on freeway or urban links and that rapidly changing traffic demands drastically affect MFD shape.
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Cycling or walking? Determinants of mode choice in the Netherlands

TL;DR: A mode choice model focusing on active modes, while including a more comprehensive set of modes (i.e. walking, cycling, public transport and car) is estimated, showing that active mode use is most sensitive to changes in the trip characteristics and the built environment.
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Drivers and barriers in adopting Mobility as a Service (MaaS) – A latent class cluster analysis of attitudes

TL;DR: Five clusters in relation to individuals’ inclinations to adopt MaaS in the context of urban mobility are found and high (mobility) ownership need and low technology adoption (present in three of the five clusters) are identified as the main barriers that can hinderMaaS adoption.
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Modelling route choice behaviour in multi-modal transport networks

TL;DR: A more advanced so-called Multi-Nested GEV model according to the Principles of Differentiation has been estimated which significantly improves the explanatory power and stresses the importance of the home-end of the multi-modal trip.
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The Netherlands Mobility Panel: an innovative design approach for web-based longitudinal travel data collection

TL;DR: The initial assessment results based on the first data collected autumn 2013 are presented, providing insights into the benefits of the travel diary design and how differences in data quality relate to differences in diary design, diary layout, and diary content.