Understanding short-term travel behavior under personal mobility credit allowance scheme using experimental economics

Aziz, H. M. Abdul; Ukkusuri, Satish V.; Romero, Julián

doi:10.1016/j.trd.2015.02.015

Cited by 38 publications

(16 citation statements)

References 38 publications

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“…First, with regard to measuring behavioural change, the present set of studies on individual TC responses represents a very diverse body when it comes to the unit of analysis: annual carbon consumption/distance/number of trips (Capstick & Lewis, 2010;Parag et al, 2011;Raux et al, 2015a;Zanni et al, 2013), set of activities/trips (Aziz et al, 2015;Harwatt et al, 2011;Kockelman & Kalmanje, 2005) or a single trip (Raux et al, 2015b). Unfortunately, studies that measure individual TC effects using a fictitious base situation (e.g.…”

Section: Resultsmentioning

confidence: 99%

“…Essentially, a TC scheme brings multiple and subsequent trip decisions under one budget, requiring people to constantly balance their credit availability, current and future travel needs, current and future credit price, and the uncertainties that accompany them. Understanding these behaviours requires more dynamic and interactive research settings, more similar to the approach taken by Aziz et al (2015). Moreover, understanding these behaviours also requires the incorporation of behavioural concepts that can explain effects that are additional to those resulting from the TC's price signal alone.…”

Section: Resultsmentioning

confidence: 99%

“…Interestingly, the investigation of decision-making in iterative, feedback-based decisions has led to observations that divert from the prospect theoretic accounts of loss aversion and endowment effect, that have typically been formulated on the basis of one-shot, description-based decision tasks (Erev & Barron, 2005). In the empirical TC context, only Aziz et al (2015) led participants actually trade credits in several rounds in an experiment. They concluded that participants reflected learning behaviour as allocation of credits improved over time.…”

Section: Learning Effectmentioning

confidence: 99%

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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: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Learning Effectmentioning

confidence: 99%

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

2016

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“…To better understand the departure time choice principle of commuters and examine the theoretical assumptions, one can use method of laboratory experiment, which is a powerful tool for studying people's choice behavior and has been widely used to examine equilibrium (Helbing et al, 2002;Gabuthy et al, 2006;Daniel et al, 2009;Rapoport et al, 2014), study traffic paradoxes (Ramadurai and Ukkusuri, 2007;Morgan et al, 2009;Rapoport et al, 2009Rapoport et al, , 2014 and assess transportation demand management measures (Hartman, 2012;Aziz et al, 2015;Rey et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Experimental Study of Departure Time Choice Behavior in Commute Problem With Stochastic Bottleneck Capacity

Jiang

Han

et al. 2019

2019 5th International Conference on Transportation Information and Safety (ICTIS)

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Abstract：Uncertainty is inevitable in transportation system due to the stochastic change of demand and supply. It is one of the most important factors affecting travelers' choice behavior. Based on the framework of Vickrey's bottleneck model, we designed and conducted laboratory experiment to investigate the effects of stochastic bottleneck capacity on commuter departure time choice behavior. Two different scenarios with different information feedback are investigated. The experimental results show that the relationship between the mean cost ( ( )) and the standard deviation of cost ( ) can all be fitted approximately linearly with a positive slope = ( )/ * − ( * > 0). This suggests that under the uncertain environment, travelers are likely to minimize their travel cost budget, defined as ( ) − * , and * > 0 indicates that the travelers behave risk preferring. The experiments also found that providing the cost information of all departure times to the commuters lowered the commuters' risk preference coefficient (i.e., * decreases). We propose a reinforcement learning model, which is shown to reproduce the main experimental findings well.

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“…Yang and Wang (2011) proposed tradable travel credits for mobility management and carbon abatement and investigated the resulting state of transportation system. Aziz et al (2015) came up with the notion of personal mobility credit allowance scheme for personal travel and investigated its effectiveness using an experimental game.…”

Section: Introductionmentioning

confidence: 99%

Can personal gasoline permit trading be effective? An investigation into permit demand

Fan

et al. 2017

Journal of Cleaner Production

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This study proposes a personal fuel permit trading scheme to limit the total consumption of motor fuels (including diesel and gasoline), thus reducing its environmental impact. We studied the effectiveness of this scheme by analyzing the permit demand of a benchmark gasoline-driven vehicle in transportation sector. A general utility optimization model is formulated and a Cobb-Douglas utility function is further assumed to analyze the response of permit demand to its price changes with the Slutsky decomposition of price effects. The results, when defined in economic terms, indicate that the permit demand of consumers in higher income groups are negatively related to permit price; permit demand are also negatively related to permit price for consumers in medium income groups, but with positive income effect; and the direct relationship between permit demand of lower income groups and the price is defined as a Giffen-good effect. That is, for those low income groups, when the permit price rises their demand for permits would also increase. Then a US household expenditure data is used to show illustrative results if a pilot of personal fuel permit trading scheme. Further, some regulations on critical parameters, such as permit allocation and permit prices in the policy design are proposed to make the scheme feasible in different income groups. Based on these results, implications, limitation and suggestions for future study are discussed.

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Understanding short-term travel behavior under personal mobility credit allowance scheme using experimental economics

Cited by 38 publications

References 38 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

Experimental Study of Departure Time Choice Behavior in Commute Problem With Stochastic Bottleneck Capacity

Can personal gasoline permit trading be effective? An investigation into permit demand

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