Area Based Models of New Highway Route Growth

David Levinson and Wei Chen

No 200708, Working Papers from University of Minnesota: Nexus Research Group

Abstract: 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, and secondary 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.

Keywords: network growth; hierarchy of roads; land-use; population; GIS. (search for similar items in EconPapers)
JEL-codes: O33 R41 R42 R48 (search for similar items in EconPapers)
Date: 2007
New Economics Papers: this item is included in nep-for, nep-net and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Published in ASCE Journal of Urban Planning and Development 133(4) 250-254.

Downloads: (external link)
http://hdl.handle.net/11299/179953 First version, 2007 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nex:wpaper:areabasednetworkgrowth

Access Statistics for this paper

More papers in Working Papers from University of Minnesota: Nexus Research Group Contact information at EDIRC.
Bibliographic data for series maintained by David Levinson ( this e-mail address is bad, please contact ).