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

Dogterom, Nico; Ettema, Dick; Dijst, Martin

doi:10.1080/01441647.2016.1245219

Cited by 65 publications

(38 citation statements)

References 105 publications

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“…This finding might be explained by a cost hierarchy present in change options, implying that generally people first select alternatives that are less costly in terms of money and effort, and that additional change is more costly and therefore more difficult to achieve (Loukopoulos et al, 2006). It might also indicate a 'shock effect' in scenario 1, that is, the introduction of the measure has an effect apart from the total credits available (Dogterom et al, 2017). Of course, fatigue could also have played a role, as people might have been less motivated to take scenario 2 seriously because of the complexity and time required for the experiment.…”

Section: Data Collection Processmentioning

confidence: 98%

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Behavioural effects of a tradable driving credit scheme: Results of an online stated adaptation experiment in the Netherlands

Dogterom

Ettema

Dijst

2018

Transportation Research Part A: Policy and Practice

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A B S T R A C TThere is increasing interest in the application of tradable credit schemes in the context of personal travel. To anticipate the short-term effects of a distance-based tradable driving credit (TDC) scheme, an innovative stated adaptation experiment has been conducted. Using an activity-based approach, Dutch participants who frequently commute by car could reschedule their car-based activities and alter the travel pattern they reported in an online travel diary for a full week. This paper presents the results of model estimations that describe the likelihood of changing car use and the number of kilometres driven in response to two TDC scenarios. Reductions were larger for those who experienced a loss under the measure compared to those who could expect a gain. Participants who worked more hours and who lived in non-urban areas showed lower car use reduction levels, whereas participants with middle incomes and who were 18-25 years old showed higher reduction levels. A car dependency measure was added to the models to assess how these effects are related to the availability of car use alternatives.

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Section: Data Collection Processmentioning

confidence: 98%

“…For a detailed discussion of this literature, we refer to Dogterom et al (2017); here, we summarise the most important findings and methodological aspects. Empirical research started by exploring public opinion and general intentions.…”

Section: Literaturementioning

confidence: 99%

Behavioural effects of a tradable driving credit scheme: Results of an online stated adaptation experiment in the Netherlands

Dogterom

Ettema

Dijst

2018

Transportation Research Part A: Policy and Practice

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“…These policies have generally a n egative impact on citizens, while, as reported in EPOMM [5] and Dogteron et al [6], rewards are well accepted. In Tillema et al [7] rewarding and penality systems are compared; moreover these authors show that a theoretical pricing solution should make each user pay the cost that the society has to bear because of his mobility habits.…”

Section: Mobility Rewarding Strategies and Softwares: The State Of Artmentioning

confidence: 99%

Improving Sustainable Mobility through Modal Rewarding: The GOOD_GO Smart Platform

Pratelli

Petri

Farina

et al. 2020

Wseas Transactions on Environment and Development

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Private car mobility registers today a high accident rate and around 70% of the overall CO2 emissions from transport were generated by road mode split (European Commission, 2016). Moreover, in urban areas they occur 38% of the overall fatalities from road transport, and 23% of the overall CO2 emissions (European Commission, 2013). As a result, a modal shift of at least a part of passenger transport in urban areas, from private car to sustainable transport systems is desirable. This research aims to promote sustainable mobility through two mutually reinforcing "main actions": firstly, there is a rewarding Open-Source platform, named as GOOD_GO; secondly, there is the SW/HW system connecting to the wide world of private and/or shared bicycles. Through the GOOD_GO platform Web portal and App, a user enters a so called 'social rewarding game' thought to incentive sustainable mobility habits, and gets access to the second item consisting of a system to disincentive bike-theft and based on the passive RFID technology. The low-cost deterrent bike-theft and bike monitoring/tracking system is functional to bring a big number of citizens inside the rewarding game. In 2018, a pilot test has implemented in the city of Livorno (Tuscany, It), and it involved around 1,000 citizens. Results were quite encouraging and today, the cities of Livorno, Pisa and Bolzano will enlarge the incentive system both to home-to-school and home-to-work mobility. The Good_Go platform is an actual M-a-a-S (Mobility-as-a-Service) application, and it becoming a Mobility Management decision system support, jointly with the opportunity of organizing more incentive tenders and rewarding systems types.

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“…Besides the recently surge of interest with theoretical approaches of TCS, its empirical studies provides insights to implement the TCS in the future, as concluded in Dogterom, Ettema and Dijst (2017), which has emphasized the importance of understanding the impact of TCS on personal car travel.…”

Section:  Implementation Of the Tcsmentioning

confidence: 99%

“…However, the tradable credits scheme appears to be a promising policy tool for mobility management and has received increasing attention in recent years, as demonstrated in some recent review papers, i.e. Fan and Jiang (2013), Grant-Muller and Xu (2014) and Dogterom, Ettema and Dijst (2017), where Fan and Jiang (2013) provided a comparative summary of different TCSs, Grant-Muller and Xu (2014) investigated to what extent in existing literature suggest TCS could be feasibly implemented with the target of road traffic congestion management, and Dogterom, Ettema and Dijst (2016) presented a review on the empirical studies on TCS and behavioural concepts and theories from the fields of behavioural economics and cognitive psychology that they considered these are relevant to account for decision-making with TCS and impact of TCS on personal car travel.…”

Section: Introductionmentioning

confidence: 99%

Effects of a tradable credits scheme on mobility management: A household utility based approach incorporating travel money and travel time budgets

Mussone

Grant-Muller

2018

Case Studies on Transport Policy

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ReuseThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs (CC BY-NC-ND) licence. This licence only allows you to download this work and share it with others as long as you credit the authors, but you can't change the article in any way or use it commercially. More information and the full terms of the licence here: https://creativecommons.org/licenses/ Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request. Accepted ManuscriptTitle: Effects of a tradable credits scheme on mobility management: a household utility based approach incorporating travel money and travel time budgets This is a PDF Þle of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its Þnal form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.Effects of a tradable credits scheme on mobility management: a household utility based approach incorporating travel money and travel time budgets Effects of a tradable credits scheme on mobility management: a household utility based approach incorporating travel money and travel time budgets Abstract:We investigate the influence of a new mobility management measure, the tradable credits scheme (TCS), on the daily travel mode choices of individuals. Generally, we assume the individuals" travel consists of different modes, e.g. private car mode and mass transit mode. In order to control the rapid increase in use of the private car mode in an area, policy makers may wish to implement a TCS basing on the vehicle kilometre travelled (VKT). The effects of the TCS are investigated in this paper based on a utility-theory travel demand model proposed by Golob et al. (1981), a household utility based model incorporating proposed travel money and travel time budgets. The empirical investigation is based on comparison studies of the short-term response and long-term effects with and without TCS. It finds that the implementation of TCS has not a clear impact to the value of time of household in the short-term, and the presence of TCS does not affect the linear relationship between travel time budget and travel money budget over long term. Numerical results demonstrate that the TCS will affect the travel distance of the available transport modes differentially, according to different levels of annual household income.

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

Cited by 65 publications

References 105 publications

Behavioural effects of a tradable driving credit scheme: Results of an online stated adaptation experiment in the Netherlands

Behavioural effects of a tradable driving credit scheme: Results of an online stated adaptation experiment in the Netherlands

Improving Sustainable Mobility through Modal Rewarding: The GOOD_GO Smart Platform

Effects of a tradable credits scheme on mobility management: A household utility based approach incorporating travel money and travel time budgets

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