Winning or losing from dynamic bottleneck congestion pricing?: The distributional effects of road pricing with heterogeneity in values of time and schedule delay

By Vincent A. C. van den Berg, Erik T. Verhoef. 2011

152 citations recorded by the source corpus.

Subfields: Automotive Engineering, Control and Systems Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/0366ec755c8cbe3e576d96a8a3f77533c5690ef6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Kenneth Small
2. Vincent A. C. van den Berg
3. Erik T. Verhoef
4. A. de Palma
5. Mogens Fosgerau
6. Richard Arnott
7. J. V. van Ommeren

In Control and Systems Engineering

1. Kenneth Small
2. Erik T. Verhoef
3. Vincent A. C. van den Berg
4. A. de Palma
5. Mogens Fosgerau

In Transportation

1. Kenneth Small
2. Erik T. Verhoef
3. Vincent A. C. van den Berg
4. Mogens Fosgerau
5. A. de Palma
6. David A. Hensher
7. John M. Rose
8. Richard Arnott

Citations in the corpus

• Robot Cars and Dynamic Bottleneck Congestion: The Effects on Capacity, Value of Time and Preference Heterogeneity (2016, methodology): “Following Van den Berg and Verhoef (2011ab), the travel costs for normal and robot cars respectively can be shown to be: n ff NC TT s , (10) 1a ffNC f f TTs .”
• The bottleneck model: An assessment and interpretation (2015, methodology): “Van den Berg and Verhoef (2011) consider continuously parameterized heterogeneity and focus on the distribution of benefits from such second-best pricing.”
• The dynamics of urban traffic congestion and the price of parking (2013, background): “It would also be natural to seek to allow for heterogenous drivers, as has been done for the bottleneck model by Lindsey (2004) and recently van den Berg and Verhoef (2011).11 11With the dynamic bottleneck model, METROPOLIS, implemented for large networks, such complications could be envisaged.”