Trip Chain Analysis

Trip Chain Analysis is a methodological framework in mobility pattern analysis that systematically examines the sequence and structure of interconnected trips made by individuals or groups to infer underlying travel behaviors, distinguishing it from simpler trip-based analyses by accounting for the temporal and spatial dependencies among consecutively visited locations.

460

Publications

26K

Citations

1.2K

Authors

428

Institutions

Publications per year

2017–2026

175

Authors

1.2K

  1. RK
    Ryuichi Kitamura

    Kyoto University, Japan

    14 publications · 653 citations

    13

    h-index

  2. CR
    Chandra R. Bhat

    The University of Texas at Austin, United States

    10 publications · 399 citations

    10

    h-index

  3. HT
    Harry Timmermans

    Eindhoven University of Technology, Netherlands

    7 publications · 299 citations

    7

    h-index

  4. KW
    Kay W. Axhausen

    ETH Zurich, Switzerland

    6 publications · 237 citations

    6

    h-index

  5. YO
    Yusak O. Susilo

    KTH Royal Institute of Technology, Sweden

    6 publications · 332 citations

    6

    h-index

1–5 of 1.2K

Venues

  1. 31

    h-index

  2. Journal of Transport Geography

    31 publications · 2.3K citations

    24

    h-index

  3. Transportation Research Part B Methodological

    25 publications · 3.7K citations

    23

    h-index

  4. Transportation

    33 publications · 2.4K citations

    22

    h-index

  5. 22

    h-index

1–5