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History, neighborhood, and proximity as factors of land-use change: A dynamic spatial regression model

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  • Emre Tepe

Abstract

Spatio-temporal land-use change (LUC) modeling provides vital information about land development dynamics. However, accounting for such dynamics faces methodological challenges. This research introduces a Dynamic Spatial Panel Data (DSPD) modeling framework for LUC, incorporating spatial and temporal dependencies. A continuous response variable is introduced to take advantage of traditional spatial regression models. The DSPD model is applied to balanced spatial panel data at the block-group level covering Florida between 2010 and 2019 and incorporating both new and previously used proxy variables. The urban growth impacts of site-specific, proximity, neighborhood, socio-economic, and transportation factors are investigated. This study contributes to the literature by providing extensive insights into spatial autocorrelation, spillover, heterogeneity, and temporal lag effects in urban growth. Also, the study reveals the importance of mobility and mortgage financing in land development. The proposed modeling framework achieves high accuracy. The dynamic structure of this model provides an opportunity to predict future urban growth without the need for a land development scenario. Such predictions provide insights about future land development to practitioners and policymakers.

Suggested Citation

  • Emre Tepe, 2024. "History, neighborhood, and proximity as factors of land-use change: A dynamic spatial regression model," Environment and Planning B, , vol. 51(1), pages 7-22, January.
    • Handle: RePEc:sae:envirb:v:51:y:2024:i:1:p:7-22
    DOI: 10.1177/23998083231164397
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    References listed on IDEAS

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    1. Schirmer, Patrick & van Eggermond, Michael & Axhausen, Kay, 2014. "The role of location in residential location choice models: a review of literature," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 3-21.
    2. Millo, Giovanni & Piras, Gianfranco, 2012. "splm: Spatial Panel Data Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(i01).
    3. Baltagi, Badi H. & Song, Seuck Heun & Koh, Won, 2003. "Testing panel data regression models with spatial error correlation," Journal of Econometrics, Elsevier, vol. 117(1), pages 123-150, November.
    4. Paul Waddell, 2011. "Integrated Land Use and Transportation Planning and Modelling: Addressing Challenges in Research and Practice," Transport Reviews, Taylor & Francis Journals, vol. 31(2), pages 209-229.
    5. Carmen Carrión-Flores & Elena G. Irwin, 2004. "Determinants of Residential Land-Use Conversion and Sprawl at the Rural-Urban Fringe," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 889-904.
    6. Irwin, Elena G. & Bell, Kathleen P. & Geoghegan, Jacqueline, 2003. "Modeling and Managing Urban Growth at the Rural-Urban Fringe: A Parcel-Level Model of Residential Land Use Change," Agricultural and Resource Economics Review, Cambridge University Press, vol. 32(1), pages 83-102, April.
    7. Nazneen Ferdous & Chandra Bhat, 2013. "A spatial panel ordered-response model with application to the analysis of urban land-use development intensity patterns," Journal of Geographical Systems, Springer, vol. 15(1), pages 1-29, January.
    8. Bell, Kathleen P. & Irwin, Elena G., 2002. "Spatially explicit micro-level modelling of land use change at the rural-urban interface," Agricultural Economics, Blackwell, vol. 27(3), pages 217-232, November.
    9. Chandra R. Bhat & Subodh K. Dubey & Mohammad Jobair Bin Alam & Waleed H. Khushefati, 2015. "A New Spatial Multiple Discrete-Continuous Modeling Approach To Land Use Change Analysis," Journal of Regional Science, Wiley Blackwell, vol. 55(5), pages 801-841, November.
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    Cited by:

    1. Emre Tepe, 2024. "A random forests-based hedonic price model accounting for spatial autocorrelation," Journal of Geographical Systems, Springer, vol. 26(4), pages 511-540, October.

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