Regression-based Trip Generation
Regression-Based Trip Generation is a statistical modeling approach within trip generation analysis that uses regression techniques to predict the number of trips generated by a household or land use based on explanatory variables such as socioeconomic characteristics or land use attributes.
28
Publications
1.2K
Citations
60
Authors
21
Institutions
Publications per year
2017–2026
3
Parents
28
1–5 of 28
60
2
h-index
2
h-index
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University of California, Santa Barbara, United States
2 publications · 28 citations
2
h-index
2
h-index
1–5 of 60
21

California State University, Sacramento
Sacramento, United States
2 h-index
2 publications
49 citations

University of Wisconsin–Milwaukee
Milwaukee, United States
2 h-index
2 publications
49 citations
University of California, Davis
Davis, United States
2 h-index
2 publications
49 citations

Southeast University
Nanjing, China
2 h-index
6 publications
84 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
2 publications
66 citations
Seoul National University
Seoul, South Korea
1 h-index
4 publications
208 citations
University of California, Irvine
Irvine, United States
1 h-index
1 publications
537 citations
University of Delaware
Newark, United States
1 h-index
3 publications
48 citations
1–8 of 21
TRR · 5 publications · 86 citations
5
h-index
3 publications · 76 citations
3
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JTLU · 2 publications · 49 citations
2
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Repository · 1 publications · 14 citations
1
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1 publications · 24 citations
1
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1–5