Markov Chain Model of Land Use Change in the Twin Cities
AbstractThe set of models available to predict land use change in urban regions has become increasingly complex in recent years. Despite their complexity, the predictive power of these models remains relatively weak. This paper presents an example of an alternative modeling framework based on the concept of a Markov chain. The model assumes that land use at any given time, which is viewed as a discrete state, can be considered a function of only its previous state. The probability of transition between each pair of states is recorded as an element of a transition probability matrix. Assuming that this matrix is stationary over time, it can be used to predict future land use distributions from current data. To illustrate this process, a Markov chain model is estimated for the Minneapolis-St. Paul, MN, USA (Twin Cities) metropolitan region. Using a unique set of historical land use data covering several years between 1958 and 2005, the model is tested using historical data to predict recent conditions, and is then used to forecast the future distribution of land use decades into the future. We also use the cell-level data set to estimate the fraction of regional land use devoted to transportation facilities, including major highways, airports, and railways. The paper concludes with some comments on the strengths and weaknesses of Markov chains as a land use modeling framework, and suggests some possible extensions of the model.
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Bibliographic InfoPaper provided by University of Minnesota: Nexus Research Group in its series Working Papers with number 000107.
Date of creation: 2012
Date of revision:
Publication status: Published in working paper
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mode choice; mode shares; mixed logit; stated preference.;
Find related papers by JEL classification:
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
- R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
- R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion
- R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-08-23 (All new papers)
- NEP-DCM-2012-08-23 (Discrete Choice Models)
- NEP-FOR-2012-08-23 (Forecasting)
- NEP-URE-2012-08-23 (Urban & Real Estate Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Bell, Earl J., 1974. "Markov analysis of land use change--an application of stochastic processes to remotely sensed data," Socio-Economic Planning Sciences, Elsevier, vol. 8(6), pages 311-316, December.
- McMillen, Daniel P. & McDonald, John F., 1991. "A Markov Chain model of zoning change," Journal of Urban Economics, Elsevier, vol. 30(2), pages 257-270, September.
- Bell, E. J. & Hinojosa, R. C., 1977. "Markov analysis of land use change: Continuous time and stationary processes," Socio-Economic Planning Sciences, Elsevier, vol. 11(1), pages 13-17.
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