Modeling urban growth in Atlanta using logistic regression
By Zhiyong Hu, Chor-Pang Lo. Computers, Environment and Urban Systems, 2007
541 citations recorded by the source corpus.
Subfields: Building and Construction, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/8bb17f81c8da2c4be9c15b3c498a76d07bafa758
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In Building and Construction
In Environmental Engineering
In Global and Planetary Change
Citations in the corpus
- Spatiotemporal heterogeneity of urban planning implementation effectiveness: Evidence from five urban master plans of Beijing (2012, background): “…forces of urban expansion in Wuhan City; Fang, Gertner, un, and Anderson (2005) use the logistic regression to weigh the cores of the driving factors for an urban sprawl model; Hu and Lo 2007) model the urban growth for Alaska using the parameters f driving forces calibrated by logistic regression.”
- Long-term impacts of transport infrastructure networks on land-use change: an international review of empirical studies (2016, background): “In Atlanta, Hu and Lo (2007) report that the odds of urban development in close proximity to major roads nearly doubled in comparison to distances of more than one kilometre from the road network. Conway (2005) finds the same significant relation between accessibility to highways, measured as the ne”
- Modelling of land-use change in Thailand using binary logistic regression and multinomial logistic regression (2020, methodology): “Logistic regression has predominantly been employed in the estimation of the binomial probability of two responses of a categorical dependent variable concerning land-use change studies (Hu and Lo 2007; Eyoh et al. 2012; Alsharif and Pradhan 2014; Pradhan 2017).”