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Using Artificial Neural Networks for Recovering the Value-of-Travel-Time Distribution · Study

WorkUsing Artificial Neural Networks for Recovering the Value-of-Travel-Time Distribution

Sander van Cranenburgh2019

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Workgreen2019

Using Artificial Neural Networks for Recovering the Value-of-Travel-Time Distribution

Sander van Cranenburgh · Marco Kouwenhoven

5 citations·0/0 files stored·Lecture notes in computer science

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Transportation Planning and Optimization Economic and Environmental Valuation Traffic Prediction and Management Techniques

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References

1987Efficient Estimation Methods for "Closed-Ended" Contingent Valuation Surveys 2018Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis 2012Valuation of travel time 2010Meta-analysis of UK values of travel time: An update 2005Investigating the distribution of the value of travel time savings 2016Values of travel time in Europe: Review and meta-analysis 2013Experiences from the Swedish Value of Time study 2007The trade-off between money and travel time: A test of the theory of reference-dependent preferences

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Details

Year2019

Typeother

Published2019-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations5

Files0 public / 0

ShelfTransportation Planning and Optimization

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doi10.1007/978-3-030-20521-8_8

openalex_workW2948392009

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