IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v9y2020i10p347-d418360.html
   My bibliography  Save this article

Global and Local Modeling of Land Use Change in the Border Cities of Laredo, Texas, USA and Nuevo Laredo, Tamaulipas, Mexico: A Comparative Analysis

Author

Listed:
  • Chunhong Zhao

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China
    Key Laboratory of Geographical Processes and Ecological Security of Changbai Mountains, Ministry of Education, Northeast Normal University, Changchun 130024, China
    Department of Geography, Texas State University, San Marcos, TX 78666, USA)

  • Jennifer L.R. Jensen

    (Department of Geography, Texas State University, San Marcos, TX 78666, USA)

  • Russell Weaver

    (Department of Geography, Texas State University, San Marcos, TX 78666, USA
    ILR Buffalo Co-Lab, Cornell University, Ithaca, NY 14850, USA)

Abstract

This paper estimates global logistic regression and logistic geographically weighted regression (GWR) models of urban growth in the adjacent border cities of Laredo, Texas in the United States and Nuevo Laredo, Tamaulipas in Mexico, for two time periods from 1985 to 2014. Historical land use and land cover patterns were monitored through Landsat imagery from the United States Geological Survey to identify instances of urban growth through land type change. Data on socioeconomic variables related to urban growth were collected from various sources and used as independent variables. In both time periods, the logistic GWR was proven to be a complementary model for the global logistic regression to explore the urban growth effect. In addition, GWR outperformed the global logistic regression model with respect to goodness of fit. These results suggest that local models are complementary to global models to empirically analyze the determinants of urban growth in study areas that contain political borders, presumably because the relationships between socioeconomic factors and urban growth are characterized by spatial heterogeneity in such areas. The spatial variable of the relationship between urban growth and the neighborhood interactions and proximity effect present the idea of complexity and interconnections between the land use change and associated factors.

Suggested Citation

  • Chunhong Zhao & Jennifer L.R. Jensen & Russell Weaver, 2020. "Global and Local Modeling of Land Use Change in the Border Cities of Laredo, Texas, USA and Nuevo Laredo, Tamaulipas, Mexico: A Comparative Analysis," Land, MDPI, vol. 9(10), pages 1-18, September.
    • Handle: RePEc:gam:jlands:v:9:y:2020:i:10:p:347-:d:418360
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/9/10/347/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/9/10/347/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Elena G. Irwin, 2010. "New Directions For Urban Economic Models Of Land Use Change: Incorporating Spatial Dynamics And Heterogeneity," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 65-91, February.
    2. Xindong He & Xianmin Mai & Guoqiang Shen, 2019. "Delineation of Urban Growth Boundaries with SD and CLUE-s Models under Multi-Scenarios in Chengdu Metropolitan Area," Sustainability, MDPI, vol. 11(21), pages 1-13, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yunfei Peng & Fangling Yang & Lingwei Zhu & Ruru Li & Chao Wu & Deng Chen, 2021. "Comparative Analysis of the Factors Influencing Land Use Change for Emerging Industry and Traditional Industry: A Case Study of Shenzhen City, China," Land, MDPI, vol. 10(6), pages 1-17, May.
    2. Dong-jin Lee & Seong Woo Jeon, 2020. "Estimating Changes in Habitat Quality through Land-Use Predictions: Case Study of Roe Deer ( Capreolus pygargus tianschanicus ) in Jeju Island," Sustainability, MDPI, vol. 12(23), pages 1-18, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dominique Prunetti & Alexandre Muzy & Eric Innocenti & Xavier Pieri, 2014. "Utility-based Multi-agent System with Spatial Interactions: The Case of Virtual Estate Development," Computational Economics, Springer;Society for Computational Economics, vol. 43(3), pages 271-299, March.
    2. Qingxu Huang & Dawn C Parker & Tatiana Filatova & Shipeng Sun, 2014. "A Review of Urban Residential Choice Models Using Agent-Based Modeling," Environment and Planning B, , vol. 41(4), pages 661-689, August.
    3. Xiaoying Bai & Wenheng Wu & Limeng Liu & Wanying Shang & Haixia Dong, 2024. "Spatio-Temporal Evolution and Implications of Urban Residential Space Based on the New Commercial Housing in Xi’an, China, 2006–2022," Sustainability, MDPI, vol. 16(19), pages 1-21, September.
    4. Thomas de Graaff & Frank G. van Oort & Raymond J.G.M. Florax, 2012. "Regional Population–Employment Dynamics Across Different Sectors Of The Economy," Journal of Regional Science, Wiley Blackwell, vol. 52(1), pages 60-84, February.
    5. Fraser J Morgan & Adam J Daigneault, 2015. "Estimating Impacts of Climate Change Policy on Land Use: An Agent-Based Modelling Approach," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-20, May.
    6. Benedykt Pepliński, 2020. "Location of Cows and Pigs in Suburban Areas of Polish Metropolitan Centers," Sustainability, MDPI, vol. 12(7), pages 1-20, March.
    7. Kane, Kevin & York, Abigail M., 2017. "Prices, policies, and place: What drives greenfield development?," Land Use Policy, Elsevier, vol. 68(C), pages 415-428.
    8. Magliocca, Nicholas & McConnell, Virginia & Walls, Margaret & Safirova, Elena, 2012. "Zoning on the urban fringe: Results from a new approach to modeling land and housing markets," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 198-210.
    9. Elena G. Irwin & Andrew M. Isserman & Maureen Kilkenny & Mark D. Partridge, 2010. "A Century of Research on Rural Development and Regional Issues," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(2), pages 522-553.
    10. 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.
    11. Carmen Carrión-Flores & Elena G. Irwin, 2017. "A fixed effects logit model of rural land conversion and zoning," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(1), pages 181-208, January.
    12. Xindong He & Linhong Wu & Guoqiang Shen & Xingfan Peng & Lei Huang, 2023. "A Spatiotemporal Analysis of Ecological–Economic Coupling Coordination in the Chengdu–Chongqing Urban Agglomeration," Land, MDPI, vol. 12(7), pages 1-20, July.
    13. Arnab Bhattacharjee & Taps Maiti & Dennis Petrie, 2014. "Spatial structures of health outcomes and health behaviours in Scotland: Evidence from the Scottish Health Survey," SEEC Discussion Papers 1401, Spatial Economics and Econometrics Centre, Heriot Watt University.
    14. Braathen, Christian & Thorsen, Inge & Ubøe, Jan, 2022. "Adjusting for Cell Suppression in Commuting Trip Data," Discussion Papers 2022/13, Norwegian School of Economics, Department of Business and Management Science.
    15. Landi, Chiara & Bartolini, Fabio & Rovai, Massimo, 2014. "A spatial analysis of the farm structural change: the case study of Tuscany region," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182938, European Association of Agricultural Economists.
    16. Pia Nilsson & Sara Johansson, 2013. "Location determinants of agricultural land prices," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 33(1), pages 1-21, February.
    17. Koen de Koning & Tatiana Filatova & Okmyung Bin, 2019. "Capitalization of Flood Insurance and Risk Perceptions in Housing Prices: An Empirical Agent‐Based Model Approach," Southern Economic Journal, John Wiley & Sons, vol. 85(4), pages 1159-1179, April.
    18. Tajibaeva, Liaila & Haight, Robert & Stephen, Polasky, 2014. "Welfare and Biodiversity Tradeoffs in Urban Open Space Protection," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170602, Agricultural and Applied Economics Association.
    19. Azam Azad Gholami & Inge Thorsen & Jan Ubøe, 2024. "An Agent-based Approach to Study Spatial Structure Effects on Estimated Distance Deterrence in Commuting," Networks and Spatial Economics, Springer, vol. 24(3), pages 621-653, September.
    20. Emma Bruno & Rosalia Castellano & Gennaro Punzo & Luca Salvati, 2023. "Towards diverging land prices in agricultural districts? Evidence from Italy before and after the great crisis," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(3), pages 119-127.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:9:y:2020:i:10:p:347-:d:418360. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.