Design and evaluation of road pricing: state-of-the-art and methodological advances

Tsekeris, Theodore; Voβ, Stefan

doi:10.1007/s11066-008-9024-z

Cited by 140 publications

(73 citation statements)

References 375 publications

(396 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…ITS can be deployed to enable electronic payment for access to certain routes, zones or facilities, principle whilst associated technologies of access control (such as rising bollards), can provide the intelligent infrastructure required for charging schemes to go ahead [31]. Enforcement measures can also support the shift to less carbon intensive behaviourAutomatic Number Plate Recognition (ANPR) can provide the capacity for monitoring and surveillance to incur penalties and therefore mitigate excessive and aggressive driving such as speeding [29].…”

Section: Overview Of Its Systems In the Low Carbon Contextmentioning

confidence: 99%

Intelligent Transport Systems: The propensity for environmental and economic benefits

Grant-Muller

Usher

2014

Technological Forecasting and Social Change

View full text Add to dashboard Cite

Whilst the economic and efficiency benefits of Intelligent Transport Systems (ITS) are well established, the goal of this research is to demonstrate the simultaneous propensity for low carbon benefits through the deployment of ITS. The foundation of this paper is therefore that the deployment of these technology measures contributes to the positive-sum game of both economic and environmental sustainability. Two research questions are addressed: firstly whether the evidence supports the notion that ITS systems can be implemented and operated in such a way to generate environmental benefits; and secondly whether policy priorities amongst national and international stakeholders reflect a propensity for ITS deployment in order to yield those benefits.The first question is addressed using a rationale based upon both underlying drivers and a synthesis of the empirical evidence. The second is addressed by the development of new propensity models IT"to deliver climate and environmental goals. The research shows that Vehicle Density and HighTechnology exports were found to be significant variables in determining the propensity for ITS to feature as a high priority policy tool in future transport strategies. The research holds further value in positioning ITS as a policy tool able to deliver both economic and sustainability gains. It holds relevance for both policy analysts and transport strategists at international, national and regional tiers.

show abstract

Section: Overview Of Its Systems In the Low Carbon Contextmentioning

confidence: 99%

Intelligent Transport Systems: The propensity for environmental and economic benefits

Grant-Muller

Usher

2014

Technological Forecasting and Social Change

View full text Add to dashboard Cite

show abstract

“…Several factors Z i may co-exist and influence the opinions of agent i towards the one or the other direction. On the one hand, an agent i can positively assess congestion pricing because of the expected travel time savings when moving or searching street parking in the city, favorable environmental attitude, anticipated gains due to changes in land values, positive own-experience from the pilot application in the trial period, and positive information or observation from other congestion pricing implementations worldwide [21]. On the other hand, the same agent can negatively assess congestion pricing because of the opposite position of the political party that he/she supports, equity issues, fear of markets, memory lapses, error of perception, stress of information gathering and pressure from social norms [20,22,23].…”

Section: The Multi-equilibria Regulation Modelmentioning

confidence: 99%

Multi-Equilibria Regulation Agent-Based Model of Opinion Dynamics in Social Networks

Koulouris¹,

Katerelos²,

Tsekeris³

2013

: Interdiscip. Descr. Complex Syst.

Self Cite

View full text Add to dashboard Cite

This article investigates the Multiple Equilibria Regulation (MER) model, i.e., an agent-based simulation model, to represent opinion dynamics in social networks. It relies on a small set of microprerequisites (intra-individual balance and confidence bound), leading to emergence of (non)stationary macro-outcomes. These outcomes may refer to consensus, polarization or fragmentation of opinions about taxation (e.g., congestion pricing) or other policy measures, according to the way communication is structured. In contrast with other models of opinion dynamics, it allows for the impact of both the regulation of intra-personal discrepancy and the interpersonal variability of opinions on social learning and network dynamics. Several simulation experiments are presented to demonstrate, through the MER model, the role of different network structures (complete, star, cellular automata, small-world and random graphs) on opinion formation dynamics and the overall evolution of the system. The findings can help to identify specific topological characteristics, such as density, number of neighbourhoods and critical nodes-agents, that affect the stability and system dynamics. This knowledge can be used to better organize the information diffusion and learning in the community, enhance the predictability of outcomes and manage possible conflicts. It is shown that a small-world organization, which depicts more realistic aspects of real-life and virtual social systems, provides increased predictability and stability towards a less fragmented and more manageable grouping of opinions, compared to random networks. Such macro-level organizations may be enhanced with use of web-based technologies to increase the density of communication and public acceptability of policy measures. KEY WORDS INTRODUCTIONIn recent years, social sciences have embraced simulation techniques as a new powerful tool to explore the dynamics of social systems. Agent-based models (ABMs) constitute a fruitful approach to simulate and analyze complex phenomena observed in social networks. They typically rely on a set of simple rules pertaining to the behavior of agents, in order to determine the minimal conditions under which these phenomena emerge. A basic problem encountered by researchers is that of understanding emergence and, especially, the relationship between micro and macro properties of complex systems [1,2]. Such systems can be described either in terms of the properties and behavior of their individual agents or the system as a whole. The explanation of the emergence of macroscopic societal regularities, such as norms or price equilibria, from the micro level behavior of agents requires some generative ('bottom-up') mechanism [3], through which decentralized local interactions of heterogeneous autonomous agents generate the given regularity.In this context, ABMs of social networks can simulate the emergence of community-wide economic and political outcomes, based on the individual behavior and interaction dynamics of network agents. The agen...

show abstract

“…Chu 1995;Doan et al 2011;Tsekeris, Voß 2009;Yang, Huang 1997Zhang, Ge 2004) and utilising financial derivatives to facilitate the implementation of congestion charging (Nie 2012;Teodorović et al 2008;Tian et al 2013;Yang, Wang 2011;Yao et al 2010;Xiao et al 2013). Differing from the work on designing or optimising traffic congestion pricing schemes, one contribution of the current work is that we aim to analyse and overcome derived problems of the existing congestion pricing schemes operating across the world by means of analytical techniques, specifically, focusing on the undesired boundary effect problem arising from the implementation and operations of congestion charging.…”

Section: Introductionmentioning

confidence: 99%

Investigating boundary effects of congestion charging in a single bottleneck scenario

Stewart

Liu

et al. 2015

Transport

View full text Add to dashboard Cite

Abstract. Many congestion charging projects charge traffic only within part of a day with predetermined congestion tolls. Demand peaks have been witnessed just around the time when the charge jumps up or down. Such peaks may not be desirable, in particular (a) when the resulting peaks are much higher than available capacities; (b) traffic speeding up to get into the charging zone causes more incidents just before the toll rises up to a higher level; or (c) traffic slowing down or parking on the roadside decreases road traffic throughput just before the toll falls sharply. We term these types of demand peaks 'boundary effects' of congestion charging. This paper investigates these effects in a bottleneck scenario and aims to design charging schemes that reduce undesired demand peaks. For this purpose, we observe and analyse the boundary effects utilising a bottleneck model under three types of toll profiles that are indicative of real charging schemes. The first type maintains a constant toll across the charging period, the second type allows the toll to increase from zero to a given maximum level and then decrease back to zero and the third type allows the toll to rise from zero to a given maximum level, remain at this level for a fixed period and then fall down to zero. This investigation shows that all three types of toll profiles can produce greater boundary peak demands than the bottleneck capacity. A significant contribution of this work is that instead of designing an optimal traffic congestion pricing scheme we analyse how existing sub-optimal congestion pricing schemes could be improved and suggest how observed problems may be overcome. Hence, we propose a set of extra requirements to supplement existing principles or requirements for design and implementation of congestion charging, which aim to reduce the adverse consequences of boundary effects. Concluding remarks are made on implications of this investigation for the improvement of existing congestion charging projects and for future research. Keywords: bottleneck models; congestion charging; boundary issues. Notes: Current paper is an entirely updated version of our earlier paper: Ge, Y.-E.; Stewart, K. 2010. Investigating boundary issues arising from congestion charging in a bottleneck scenario, in C. M. J. Tampère, F. Viti, L. H. Immers (Eds.). New Developments in Transport Planning: Advances in Dynamic Traffic Assignment, 303-327. http://dx.doi.org/10.4337/9781781000809.00025 In this new version, we have rewritten the introductory section. Secondly, we are proposing a set of extra requirements for road traffic congestion pricing design and implementation in a newly-added section. Thirdly, three new tables have been generated and the data in them are used to support our analysis while four new figures are added to show the advantages of the adopted bottleneck model over the existing ones. Besides, we significantly improved the presentation and analysis of numerical results as well as corrected the errors and typos in the earlier version througho...

show abstract

Design and evaluation of road pricing: state-of-the-art and methodological advances

Abstract: Transport networks, Congestion pricing, Road pricing, Network pricing, Network design, Private toll road competition, Capacity investments, Evaluation of pricing schemes,

Cited by 140 publications

References 375 publications

Intelligent Transport Systems: The propensity for environmental and economic benefits

Intelligent Transport Systems: The propensity for environmental and economic benefits

Multi-Equilibria Regulation Agent-Based Model of Opinion Dynamics in Social Networks

Investigating boundary effects of congestion charging in a single bottleneck scenario

Contact Info

Product

Resources

About