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A data-driven multi-objective optimization framework for determining the suitability of hydrogen fuel cell vehicles in freight transport

Authors: Shiqi Wang; Zhenhan Peng; Pinxi Wang; Anthony Chen; Chengxiang Zhuge;
handle: 10397/99313
Abstract
202307 bcww ; Not applicable ; Others ; National Natural Science Foundation of China (52002345); Research Institute for Sustainable Urban Development (1-BBWF and 1-BBWR); Smart Cities Research Institute (CDAR and CDA9); the funding for Project of Strategic Importance provided by The Hong Kong Polytechnic University (1-ZE0A) ; Published ; 24 months ; Green (AAM)
Countries
China (People's Republic of), China (People's Republic of), Hong Kong
Related Organizations
- Hong Kong Polytechnic University China (People's Republic of)
- Hong Kong Polytechnic University (香港理工大學) China (People's Republic of)
- Hong Kong Polytechnic University (香港理工大學) China (People's Republic of)
- Hong Kong Polytechnic University (香港理工大學) Hong Kong
- Tsinghua University China (People's Republic of)
Keywords
Battery electric vehicle, Freight transport system, 330, Hydrogen fuel cell vehicle, Data-driven simulation, Life cycle analysis
Battery electric vehicle, Freight transport system, 330, Hydrogen fuel cell vehicle, Data-driven simulation, Life cycle analysis
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).7 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
7
Average
Average
Top 10%
Fields of Science (3) View all
Related to Research communities
Energy Research