Rail Demand Forecasting
Rail Demand Forecasting is a predictive modeling method within transportation planning that estimates future passenger or freight rail travel demand by analyzing historical data, service attributes, socioeconomic factors, and behavioral patterns specific to rail networks.
88
Publications
2.9K
Citations
201
Authors
93
Institutions
Publications per year
2017–2026
30
Parents
88
Xiushan Jiang, Lei Zhang, Xiqun Chen · Transportation Research Part C Emerging Technologies · 2014 · 162 citations
Jinlei Zhang, Hongshu Che, Wei Ma et al. · Transportation Research Part C Emerging Technologies · 2021 · 162 citations · Full text
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93
Beijing Jiaotong University
Beijing, China
9 h-index
19 publications
772 citations
University of Southampton
Southampton, United Kingdom
5 h-index
5 publications
135 citations

University of Leeds
Leeds, United Kingdom
5 h-index
10 publications
395 citations

Central South University
Changsha, China
4 h-index
8 publications
118 citations

University of Naples Federico II
Naples, Italy
3 h-index
3 publications
87 citations

Southwest Jiaotong University
Chengdu, China
3 h-index
6 publications
141 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
6 publications
334 citations
Aalborg University
Aalborg, Denmark
2 h-index
4 publications
172 citations
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TRR · 10 publications · 287 citations
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3 publications · 81 citations
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3 publications · 638 citations
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2 publications · 67 citations
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2 publications · 94 citations
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