2010
DOI: 10.1016/j.tra.2009.11.003
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New highways and land use change: Results from a quasi-experimental research design

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Cited by 41 publications
(21 citation statements)
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“…According to a study by Giuliano et al (2012), highway network accessibility was significantly related to the growth of employment centres and urban spatial structure in the 1990s in the Los Angeles region. Examining the relation of specific highway improvement projects and employment change in three Californian counties from 1980 to 2000, Funderburg et al (2010) report that employment growth can be highly variable -both positive and negative. They conclude that the type of highway improvement (e.g.…”
Section: The Impact Of Road Infrastructure On Lu Changementioning
confidence: 99%
“…According to a study by Giuliano et al (2012), highway network accessibility was significantly related to the growth of employment centres and urban spatial structure in the 1990s in the Los Angeles region. Examining the relation of specific highway improvement projects and employment change in three Californian counties from 1980 to 2000, Funderburg et al (2010) report that employment growth can be highly variable -both positive and negative. They conclude that the type of highway improvement (e.g.…”
Section: The Impact Of Road Infrastructure On Lu Changementioning
confidence: 99%
“…Studying the effect of highways on suburbanization between 1950 and 1990 for all 2000 metropolitan statistical areas in the United States that had populations over 100,000 in 1990 and central city populations over 50,000 in 1950, Baum-Snow (2007 concluded that central city population in 1990 would have been 8% greater had the interstate highway system not been built. Additional research also supports that highways affect growth patterns (Duranton & Turner, 2007;Funderburg, Nixon, Boarnet, & Ferguson, 2008), and in a comprehensive review, Handy (2002) …”
Section: Research On the Effects Of Infrastructure Spending On Urban mentioning
confidence: 82%
“…More work has been done with micro geocoded housing data using GIS than with geo-coded firm-level data, though Greenstone et al (2010) demonstrate the possibilities. Very little research brings both geo-coded firm and household data together, though the planning literature is one exception (e.g., Funderberg et al, 2010).…”
Section: Conclusion and Future Researchmentioning
confidence: 99%
“…10 The identifying assumption is that the main factor affecting trend differences between the two groups is the road construction, a strong assumption. Funderberg et al (2010) control for other factors that could account for different growth rates between the groups to strengthen their identification. A possible research design weakness is that the control tracts were very close to the treatment tracts.…”
mentioning
confidence: 99%