1994
DOI: 10.1068/b210399
|View full text |Cite
|
Sign up to set email alerts
|

The California Urban Futures Model: a new generation of metropolitan simulation models

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
70
0

Year Published

1995
1995
2021
2021

Publication Types

Select...
4
2
2

Relationship

0
8

Authors

Journals

citations
Cited by 173 publications
(74 citation statements)
references
References 3 publications
1
70
0
Order By: Relevance
“…Our approach, therefore, serves as a bridge between models that predict changes in land use, e.g. development (Alig, 1986;Landis, 1994;Clarke et al, 1997;Geoghegan et al, 1997), and assessments of the impacts on land covers that provide environmental services, e.g. forests.…”
Section: Value and Limitations Of The Approachmentioning
confidence: 99%
See 1 more Smart Citation
“…Our approach, therefore, serves as a bridge between models that predict changes in land use, e.g. development (Alig, 1986;Landis, 1994;Clarke et al, 1997;Geoghegan et al, 1997), and assessments of the impacts on land covers that provide environmental services, e.g. forests.…”
Section: Value and Limitations Of The Approachmentioning
confidence: 99%
“…The former type establishes functional relationships between a set of spatial predictor variables that are used to predict the locations of change on the landscape. These include logistic regression models (Landis, 1994), hedonic price models (Alig, 1986;Geoghegan et al, 1997), and artificial neural networks (Pijanowski et al, 2000). The latter type of model is exemplified by a spatial-temporal extension of the Markov transition models referred to as cellular automata (Deadman et al, 1993;Clarke et al, 1997).…”
Section: Land-use and Land-cover Change Modelingmentioning
confidence: 99%
“…CUFM, the California Urban Futures Model, is a raster-based, GIS-based model developed by John D. Landis (Landis 1994 The results are as good as the input land cover data, and there is always some error associated with land cover and other input data. Using two land cover definitions as input data can compound the error and cause inaccuracy in output data.…”
Section: Population Growth Methodsmentioning
confidence: 99%
“…In the United States, some examples of integrated land use-transportation models include BOYCE (Boyce, 1986;Boyce, Tatineni and Zhang, 1992), CATLAS/NYSIM (Anas, 1983(Anas, , 1992, ITLUP (Putman, 1983(Putman, , 1991, KIM , POLIS (Prastacos, 1986), PSCOG (Watterson, 1993), and CUFM (Landis, 1994). Also, there are some applied models in European countries such as AMERSFOORT (Floor and de Jong, 1981), DORTMUND (Wegener, 1982(Wegener, , 1996, LILT (Mackett, 1983(Mackett, , 1991, MEPLAN (Echenique et al, 1990;Hunt and Simmonds, 1993), and TRANSLOC (Boyce and Lundqvist, 1987;Lundqvist, 1989).…”
Section: Integrated Land Use-transportation Modelingmentioning
confidence: 99%