Alternative methods for quantifying commuting-related benefits of new transport infrastructure
A variety of methods have been developed which allow the estimation of benefits likely to arise from new transport infrastructure. In this paper, we concentrate on measuring commuting-related benefits. We compare and contrast two different approaches. The first relies on using data on commuting flows and the gravity model. The second approach uses the relationship between labour market accessibility and house prices. We use both methods to quantify these benefits, and discuss some of the potential reasons why they may give different estimates. We take as our case study a large infrastructure project in south-west Norway.
|Date of creation:||Sep 2011|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.ersa.org
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.:
- Ivar Ekeland & James J. Heckman & Lars Nesheim, 2002.
"Identifying Hedonic Models,"
American Economic Review,
American Economic Association, vol. 92(2), pages 304-309, May.
- Bourassa, Steven C. & Hoesli, Martin & Peng, Vincent S., 2003.
"Do housing submarkets really matter?,"
Journal of Housing Economics,
Elsevier, vol. 12(1), pages 12-28, March.
- Nicolas Gravel & Alessandra Michelangeli & Alain Trannoy, 2006. "Measuring the social value of local public goods: an empirical analysis within Paris metropolitan area," Applied Economics, Taylor & Francis Journals, vol. 38(16), pages 1945-1961.
- Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2010. "Which hedonic models can we trust to recover the marginal willingness to pay for environmental amenities?," Journal of Environmental Economics and Management, Elsevier, vol. 60(3), pages 145-160, November.
- John Maindonald, . "Generalized Additive Models: An Introduction with R," Journal of Statistical Software, American Statistical Association, vol. 16(b03).
When requesting a correction, please mention this item's handle: RePEc:wiw:wiwrsa:ersa11p1223. 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: (Gunther Maier)
If references are entirely missing, you can add them using this form.