Infrastructure Preference Modeling

Infrastructure Preference Modeling is a computational framework that characterizes cyclists' route choices by quantifying their behavioral tendencies toward specific built-environment features, distinguishing it from general route choice models through its explicit focus on infrastructure-level attributes such as bike lanes, shared paths, and traffic calming measures.

19

Publications

1.1K

Citations

60

Authors

31

Institutions

Publications per year

2017–2026

12

Variants

Bicycle Route Preference Modeling

Authors

60

  1. MH
    Michael Hardinghaus

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    2 publications · 96 citations

    2

    h-index

  2. TR
    Tomás Rossetti

    Pontificia Universidad Católica de Chile, Chile

    1 publications · 56 citations

    1

    h-index

  3. BD
    Bas de Geus

    Vrije Universiteit Brussel, Belgium

    1 publications · 52 citations

    1

    h-index

  4. KW
    Kari Watkins

    Georgia Institute of Technology, United States

    1 publications · 41 citations

    1

    h-index

  5. TS
    Ted Sweeney

    Ford Motor Company (United States), United States

    1 publications · 134 citations

    1

    h-index

1–5 of 60

Venues

  1. 3

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 1 publications · 64 citations

    1

    h-index

  3. 1

    h-index

  4. Journal of Public Health

    1 publications · 36 citations

    1

    h-index

  5. Automation in Construction

    1 publications · 24 citations

    1

    h-index

1–5