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| Seuring, Stefan |
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| Nor Azizi, S. |
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| Pato, Margarida Vaz |
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| Kölker, Katrin |
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| Huber, Oliver |
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| Király, Tamás |
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| Spengler, Thomas Stefan |
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| Al-Ammar, Essam A. |
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| Dargahi, Fatemeh |
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| Mota, Rui |
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| Mazalan, Nurul Aliah Amirah |
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| Macharis, Cathy | Brussels |
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| Arunasari, Yova Tri |
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| Nunez, Alfredo | Delft |
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| Bouhorma, Mohammed |
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| Bonato, Matteo |
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| Fitriani, Ira |
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| Autor Correspondente Coelho, Sílvia. |
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| Pond, Stephen |
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| Okwara, Ukoha Kalu |
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| Toufigh, Vahid |
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| Campisi, Tiziana | Enna |
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| Ermolieva, Tatiana |
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| Sánchez-Cambronero, Santos |
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| Agzamov, Akhror |
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Borgers, Awj Aloys
in Cooperation with on an Cooperation-Score of 37%
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Publications (16/16 displayed)
- 2015Modeling pedestrians' shopping behavior in downtown areas
- 2014Temporal adaptation to reward schemes:Results of the SpitsScoren projectcitations
- 2012Car drivers' compliance with route advice and willingness to choose socially desirable routescitations
- 2011Influence of travel advice, pricing and environmental awareness on route choice behavior of car users: results of a stated choice experiment
- 2010Measuring preferences for parking facilities in old residential areas
- 2009Consumer response to introduction of paid parking at a regional shopping center
- 2009Individuals' activity-travel rescheduling behaviour: experiment and model-based analysiscitations
- 2008Preferences for car-restrained residential areas
- 2008The effect of the introduction of paid parking on consumers' expenditures for weekly and non-weekly purchases
- 2006Simulation of micro pedestrian behaviour in shopping streets
- 2005Modelling pedestrian behaviour in downtown shopping areas
- 2004Simulating pedestrian route choice behavior in urban retail environments
- 2003Inducing heuristic principles of tourist choice of travel mode: a rule-based approach
- 2002Utility-maximizing model of household time use for independent, shared, and allocated activities incorporating group decision mechanismscitations
- 2001Classifying Pedestrian Shopping Behaviour According To Implied Heuristic Choice Rulescitations
- 2001Assessing urban context-induced change in individual activity travel patterns : case study of new railway stationcitations
Places of action
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article
Temporal adaptation to reward schemes:Results of the SpitsScoren project
Abstract
Reducing congestion and improving the financial and environmental sustainability of urban transport represent new challenges for transportation planners. It requires a better understanding of the impact of various pricing policies on travel behavior. Most pricing policies have involved "push" measures. These measures involve extra charges to certain travel options and thus may lead to adaptation of individuals' behavior. Although push measures have been studied worldwide, examples of actual applications are still limited due to lack of social acceptability and political support. Public opposition to the implementation of national-wide road pricing in The Netherlands has triggered Dutch policy makers to design and implement an alternative transportation management policy, so-called "reward" measures. Several real projects have been implemented in The Netherlands, stimulating car drivers to avoid using certain links of the network or certain regions during peak hours. All these projects concluded that the "reward" measures are effective in the short-term. However, the long-term influence of such schemes is still uncertain. Using the data from the Dutch "SpitsScoren" reward project, this paper formulates a panel effects mixed logit model to explore individuals' adaptive behavior under a reward measure over time. The model is designed to account for correlations between choice options available to individuals in different time periods. Results indicate that except the "teleworking" option, the base utilities of other adaptation alternatives decrease over time, implying that effectiveness of the reward scheme decreases in the long-run. Socio-economic and situational variables seem to strongly affect travelers' choices of adaptation strategies. The estimated model also shows evidence of significant heterogeneity and covariances between individuals' choices of specific adaptation options over time.
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