Charging versus rewarding: A comparison of road-pricing and rewarding peak avoidance in the Netherlands

Tillema, Taede; Ben-Elia, Eran; Ettema, Dick; Delden, Janet van

doi:10.1016/j.tranpol.2012.01.003

Cited by 34 publications

(10 citation statements)

References 46 publications

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“…Zanni et al (2013) found evidence for diminishing sensitivity as the importance of total gain/loss in determining the probability of employing carbon consumption actions decreased with an increase in total price. This finding resonates with the study by Tillema et al (2013), which also demonstrated a decrease in the magnitude of behavioural adjustments relative to the increase in costs/ gains. They concluded that this observation may indicate a "shock effect", that is, a behavioural effect that can be merely attributed to the introduction of the policy.…”

Section: Gains Versus Lossessupporting

confidence: 88%

Tradable credits for managing car travel: a review of empirical research and relevant behavioural approaches

2016

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Recently, there has been a surge of interest in Tradable Credits (TC) as an alternative measure to manage the growth of personal car use. This paper summarises the results and methodologies of studies that have sought to anticipate the behavioural responses to several proposed TC schemes that target personal travel. In a critical reflection on this work and in an attempt to inspire future research, we argue that future empirical studies on TC behaviours can greatly benefit from insights from the fields of behavioural economics and cognitive psychology. Therefore, in the second part of the paper, we bring together behavioural concepts from these fields that are relevant in a TC decision-making context. Based on observations from current TC studies and the behavioural mechanisms identified in the second part of the paper, we propose promising directions for future research on understanding the impact of TC on personal car travel. ARTICLE HISTORY

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Section: Gains Versus Lossessupporting

confidence: 88%

Tradable credits for managing car travel: a review of empirical research and relevant behavioural approaches

2016

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“…The results showed that flexible working hours affected commuters' departure times, and commuters with flexible working hours were more likely to leave after peak hours. Ben-Elia et al [14,62,63] compared the impact of two congestion management schemes-road pricing and off-peak travel incentives-on car commuting behavior, and the incentive scheme was more effective in enabling commuters to avoid rush hours. Zhang et al [64] constructed a probit model to test the impact of incentive measures and personal characteristics on the commuting departure time behavior of subway passengers.…”

Section: Departure Time Choice Behaviormentioning

confidence: 99%

“…On the other hand, it can guide travel behavior to adjust the peak of traffic demand. For example, countries such as Singapore, Hong Kong and the Netherlands have adjusted peak demand well through road toll [14]. In addition, public holidays are usually faced with extremely high travel demand, so reducing the toll of existing toll roads to balance different demand is also a widely used transport demand measure.…”

Section: Introductionmentioning

confidence: 99%

Can Road Toll Convince Car Travelers to Adjust Their Departure Times? Accounting for the Effect of Choice Behavior under Long and Short Holidays

et al. 2020

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The adjustment of road toll is an important measure that can alleviate road traffic congestion by convincing car travelers to travel during off-peak times. In order to reduce congestion on the expressway on the first day of a holiday, factors that affect the departure times of holiday travelers must be comprehensively understood to determine the best strategy to persuade car travelers to avoid peak travel times. This paper takes holiday car travelers as the research object and explores the characteristics and rules of departure time choice behavior for different holiday lengths. Based on Utility Maximization Theory, a multinomial logit (MNL) model of departure time choice for a three-day short holiday and a seven-day long holiday was established. Model calibration and elastic analysis were carried out using Revealed Preference/Stated Preference (RP/SP) survey data. Additionally, the influence of the highway toll policy on departure times for long and short holidays was analyzed. The results show that the rate of first-day departures is much higher than that of other departure times for both short and long vacations under the current policy of free holiday passage on highways. Factors such as trip duration, size of the tourist group, the number of visits, travel range, travel time, monthly income, occupation, age and road toll have a significant influence on the departure time decisions of holiday car travelers, and the effect and degree of influence are markedly different for different holiday lengths. The effects of tolls for each departure time and different pricing scenarios on the choice behavior of travelers are different between long and short holidays. Furthermore, the effectiveness of the road toll policy also varies for travelers with different travel distances. This study can provide useful information for the guidance of holiday travelers, the management of holiday tolls on expressways and the formulation of holiday leave time.

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“…Here, we set out the system architecture that would be required for a genuinely dynamic RUC system in which vehicles that cause more road damage and higher marginal social costs from negative externalities such as congestion and pollution, pay more. Moreover, dynamic RUC systems offer more promise of 'rewarding' travellers who find alternative modes, choose to travel at cheaper times of day, or who use less congested routes (Tillema et al, 2013). In the next section we describe the architecture of a GNSS-based system capable of including the variables that would enable individual drivers to see the cost impact of their decisions and to calculate how to make cheaper journeys (i.e.…”

Section: Gnss-based Rucmentioning

confidence: 99%

“…To tackle this, pricing could be set to create parity with other modes of transport, which could support modal shift, and the dynamic nature of the charge and the feedback that becomes possible with in-car telematics (ROSPA, 2013) could be used to apply behavioural nudges away from the most costly behaviours or even reward desirable behaviours (Tillema et al 2013). The programmability and comprehensive set of measured variables of the proposed GNSS-based RUC system would enable policy design to account for social equity.…”

Section: Equity and Public Acceptabilitymentioning

confidence: 99%

Achieving genuinely dynamic road user charging: issues with a GNSS-based approach

Velaga

Pangbourne

2014

Journal of Transport Geography

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Charging versus rewarding: A comparison of road-pricing and rewarding peak avoidance in the Netherlands

Cited by 34 publications

References 46 publications

Tradable credits for managing car travel: a review of empirical research and relevant behavioural approaches

Tradable credits for managing car travel: a review of empirical research and relevant behavioural approaches

Can Road Toll Convince Car Travelers to Adjust Their Departure Times? Accounting for the Effect of Choice Behavior under Long and Short Holidays

Achieving genuinely dynamic road user charging: issues with a GNSS-based approach

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