Area Based Models of New Highway Route Growth
Empirical data and statistical models are used to answer the question of where new highway routes are most likely to be located. High-quality land-use, population distribution and highway network GIS data for the Twin CitiesMetropolitan Area from 1958 to 1990 are developed for this study. The highway system is classified into three levels, Interstate highways, divided highways, andsecondary highways. Binary logit models estimate the new route growth probability of divided highways and secondary highways. Interstates, however,are not modeled here and are used as a predictor in modeling the growth of divided highways and secondary highways. The results show that the area's land-use attributes and population density level do have significant relationship with the area's likelihood of adding new highway routes.
|Date of creation:||2007|
|Date of revision:|
|Publication status:||Forthcoming in ASCE Journal of Urban Planning and Development|
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Web page: http://nexus.umn.edu
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- David Levinson & Ramachandra Karamalaputi, 2003.
"Induced Supply: A Model of Highway Network Expansion at the Microscopic Level,"
200304, University of Minnesota: Nexus Research Group.
- David Levinson & Ramachandra Karamalaputi, 2003. "Induced Supply: A Model of Highway Network Expansion at the Microscopic Level," Journal of Transport Economics and Policy, London School of Economics and University of Bath, vol. 37(3), pages 297-318, September.
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