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
Parents
460
1–5 of 460
1.2K
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428

Southeast University
Nanjing, China
18 h-index
64 publications
2.5K citations
The University of Texas at Austin
Austin, United States
12 h-index
24 publications
1K citations

Delft University of Technology
Delft, The Netherlands
11 h-index
23 publications
1.8K citations

University of Leeds
Leeds, United Kingdom
10 h-index
18 publications
1.7K citations
Beijing Jiaotong University
Beijing, China
9 h-index
24 publications
802 citations
Tongji University
Shanghai, China
9 h-index
33 publications
825 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
9 h-index
18 publications
1.2K citations

Peking University
Beijing, China
9 h-index
13 publications
2.1K citations
1–8 of 428
TRR · 56 publications · 2.5K citations
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31 publications · 2.3K citations
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25 publications · 3.7K citations
23
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33 publications · 2.4K citations
22
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23 publications · 1.9K citations
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