Road accidents and tourism: the case of the Balearic Islands (Spain)
The increase of tourist activity for many destinations and their increased mobility within host countries has implied a rise in tourism associated externalities with vehicle crashes being the most common cause of injury for tourists. Within the transport literature, the number and variations in the amount of accidents has been related to a large set of determining variables, including weather conditions, socio-economic characteristics, exposure, physical characteristics of the road and a variety of dummies which try to capture effects such as safety laws and seasonal variations. However, the presence of tourism has been neglected. Using the case study of the Balearic Islands, the present study estimates the role of tourism in determining the number of accidents on a daily context, using the set of variables suggested by the literature and incorporating a daily measure for the stock of tourists at a host destination. Results show how tourism can be associated to a significant amount of the accidents that take place in the Balearics.
|Date of creation:||2009|
|Publication status:||Published in 'Documents de Treball CRE', 2009, pages 1-18|
|Contact details of provider:|| Web page: http://www.cre.sanostra.es|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Dionne, G. & Desjardins, D. & Laberge-Nadeau, C. & Maag, U., 1993. "Medical Conditions, Risk Exposure and Truck Drivers's Accidents: An Analysis with Count Data Regression Models," Cahiers de recherche 9321, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053.
- Garcia-Ferrer, A. & de Juan, A. & Poncela, P., 2006. "Forecasting traffic accidents using disaggregated data," International Journal of Forecasting, Elsevier, vol. 22(2), pages 203-222.
- Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984.
"Pseudo Maximum Likelihood Methods: Applications to Poisson Models,"
Econometric Society, vol. 52(3), pages 701-720, May.
- Gourieroux Christian & Monfort Alain & Trognon A, 1982. "Pseudo maximum lilelihood methods : applications to poisson models," CEPREMAP Working Papers (Couverture Orange) 8203, CEPREMAP.
- Gunnar Lindberg, 2001. "Traffic Insurance and Accident Externality Charges," Journal of Transport Economics and Policy, University of Bath, vol. 35(3), pages 399-416, September.
- Cameron, A. Colin & Trivedi, Pravin K., 1990. "Regression-based tests for overdispersion in the Poisson model," Journal of Econometrics, Elsevier, vol. 46(3), pages 347-364, December. Full references (including those not matched with items on IDEAS)
When requesting a correction, please mention this item's handle: RePEc:pdm:wpaper:2009/4. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Centre de Recerca Econòmica (UIB ·"Sa Nostra"))
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.