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A spatial multinomial logit model for analysing urban expansion

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  • Tamás Krisztin
  • Philipp Piribauer
  • Michael Wögerer

Abstract

The paper proposes a Bayesian multinomial logit model to analyse spatial patterns of urban expansion. The specification assumes that the log-odds of each class follow a spatial autoregressive process. Using recent advances in Bayesian computing, our model allows for a computationally efficient treatment of the spatial multinomial logit model. This allows us to assess spillovers between regions and across land-use classes. In a series of Monte Carlo studies, we benchmark our model against other competing specifications. The paper also showcases the performance of the proposed specification using European regional data. Our results indicate that spatial dependence plays a key role in the land-sealing process of cropland and grassland. Moreover, we uncover land-sealing spillovers across multiple classes of arable land.

Suggested Citation

  • Tamás Krisztin & Philipp Piribauer & Michael Wögerer, 2022. "A spatial multinomial logit model for analysing urban expansion," Spatial Economic Analysis, Taylor & Francis Journals, vol. 17(2), pages 223-244, April.
    • Handle: RePEc:taf:specan:v:17:y:2022:i:2:p:223-244
    DOI: 10.1080/17421772.2021.1933579
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