IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v33y2006i2p165-183.html
   My bibliography  Save this article

A Review of Rural Land-Use Planning Models

Author

Listed:
  • Inés Santé Riveira
  • Rafael Crecente Maseda

Abstract

In this paper, different land-use planning models have been reviewed; within this review, techniques and methodologies with different objectives, applications, and land uses have been identified. The existing literature in this field is dispersed throughout different subjects, such as planning, geographical information systems (GIS), decisionmaking, or computer systems. The compilation, analysis, and comparison of the different models have allowed us to draw a series of conclusions for the development and implementation of strategic plans for rural land use. Because GIS have become an essential tool in rural land-use planning, special attention has been paid to the models and methods integrated into GIS.

Suggested Citation

  • Inés Santé Riveira & Rafael Crecente Maseda, 2006. "A Review of Rural Land-Use Planning Models," Environment and Planning B, , vol. 33(2), pages 165-183, April.
    • Handle: RePEc:sae:envirb:v:33:y:2006:i:2:p:165-183
    DOI: 10.1068/b31073
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/b31073
    Download Restriction: no
    File URL: https://libkey.io/10.1068/b31073?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Guy Engelen & Stan Geertman & Petra Smits & Coen Wessels, 1999. "Dynamic GIS and Strategic Physical Planning Support: A Practical Application," Advances in Spatial Science, in: John Stillwell & Stan Geertman & Stan Openshaw (ed.), Geographical Information and Planning, chapter 5, pages 87-111, Springer.
    2. Lu, C. H. & van Ittersum, M. K. & Rabbinge, R., 2004. "A scenario exploration of strategic land use options for the Loess Plateau in northern China," Agricultural Systems, Elsevier, vol. 79(2), pages 145-170, February.
    3. Sharifi, M. A. & Van Keulen, H., 1994. "A decision support system for land use planning at farm enterprise level," Agricultural Systems, Elsevier, vol. 45(3), pages 239-257.
    4. Ningchuan Xiao & David A Bennett & Marc P Armstrong, 2002. "Using Evolutionary Algorithms to Generate Alternatives for Multiobjective Site-Search Problems," Environment and Planning A, , vol. 34(4), pages 639-656, April.
    5. de Wit, C. T. & van Keulen, H. & Seligman, N. G. & Spharim, I., 1988. "Application of interactive multiple goal programming techniques for analysis and planning of regional agricultural development," Agricultural Systems, Elsevier, vol. 26(3), pages 211-230.
    6. F Wang, 1994. "The Use of Artificial Neural Networks in a Geographical Information System for Agricultural Land-Suitability Assessment," Environment and Planning A, , vol. 26(2), pages 265-284, February.
    7. J Malczewski & W Ogryczak, 1995. "The Multiple Criteria Location Problem: 1. A Generalized Network Model and the Set of Efficient Solutions," Environment and Planning A, , vol. 27(12), pages 1931-1960, December.
    Full references (including those not matched with items on IDEAS)

    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. Ponsioen, Thomas C. & Hengsdijk, Huib & Wolf, Joost & van Ittersum, Martin K. & Rotter, Reimund P. & Son, Tran Thuc & Laborte, Alice G., 2006. "TechnoGIN, a tool for exploring and evaluating resource use efficiency of cropping systems in East and Southeast Asia," Agricultural Systems, Elsevier, vol. 87(1), pages 80-100, January.
    2. Sante, Ines & Crecente, Rafael, 2007. "LUSE, a decision support system for exploration of rural land use allocation: Application to the Terra Cha district of Galicia (N.W. Spain)," Agricultural Systems, Elsevier, vol. 94(2), pages 341-356, May.
    3. Trung, N. H. & Tri, L. Q. & van Mensvoort, M. E. F. & Bregt, A. K., 2006. "Comparing land-use planning approaches in the coastal Mekong Delta of Vietnam," IWMI Books, Reports H039115, International Water Management Institute.
    4. Lu, C. H. & van Ittersum, M. K. & Rabbinge, R., 2004. "A scenario exploration of strategic land use options for the Loess Plateau in northern China," Agricultural Systems, Elsevier, vol. 79(2), pages 145-170, February.
    5. Roberta Mele & Giuliano Poli, 2017. "The Effectiveness of Geographical Data in Multi-Criteria Evaluation of Landscape Services †," Data, MDPI, vol. 2(1), pages 1-11, February.
    6. Carina Barros & Gabriela Mendonça & Augusto Gameiro, 2017. "Farm-Boarding School Management: Linear Programming Contributions in the Search of Self-Sufficiency and Optimization," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 9(3), pages 1-59, February.
    7. Cittadini, E.D. & Lubbers, M.T.M.H. & de Ridder, N. & van Keulen, H. & Claassen, G.D.H., 2008. "Exploring options for farm-level strategic and tactical decision-making in fruit production systems of South Patagonia, Argentina," Agricultural Systems, Elsevier, vol. 98(3), pages 189-198, October.
    8. Xiaoli Hu & Xin Li & Ling Lu, 2018. "Modeling the Land Use Change in an Arid Oasis Constrained by Water Resources and Environmental Policy Change Using Cellular Automata Models," Sustainability, MDPI, vol. 10(8), pages 1-14, August.
    9. Saeid Hamzeh & Marzieh Mokarram & Azadeh Haratian & Harm Bartholomeus & Arend Ligtenberg & Arnold K. Bregt, 2016. "Feature Selection as a Time and Cost-Saving Approach for Land Suitability Classification (Case Study of Shavur Plain, Iran)," Agriculture, MDPI, vol. 6(4), pages 1-13, October.
    10. Xia Li & Anthony Gar-On Yeh, 2001. "Calibration of Cellular Automata by Using Neural Networks for the Simulation of Complex Urban Systems," Environment and Planning A, , vol. 33(8), pages 1445-1462, August.
    11. Dogliotti, S. & Rossing, W. A. H. & van Ittersum, M. K., 2004. "Systematic design and evaluation of crop rotations enhancing soil conservation, soil fertility and farm income: a case study for vegetable farms in South Uruguay," Agricultural Systems, Elsevier, vol. 80(3), pages 277-302, June.
    12. Yi Lu & Shawn Laffan & Chris Pettit & Min Cao, 2020. "Land use change simulation and analysis using a vector cellular automata (CA) model: A case study of Ipswich City, Queensland, Australia," Environment and Planning B, , vol. 47(9), pages 1605-1621, November.
    13. Nibbering, Jan Willem & van Rheenen, Teunis, 1998. "The development of a quantitative method for setting research priorities: A critical assessment," Agricultural Systems, Elsevier, vol. 56(2), pages 145-165, February.
    14. Dogliotti, S. & van Ittersum, M.K. & Rossing, W.A.H., 2005. "A method for exploring sustainable development options at farm scale: a case study for vegetable farms in South Uruguay," Agricultural Systems, Elsevier, vol. 86(1), pages 29-51, October.
    15. Lijing Tang & Yuanyuan Yang & Dongyan Wang & Qing Wei, 2022. "Optimizing County-Level Land-Use Structure Method: Case Study of W County, China," IJERPH, MDPI, vol. 19(9), pages 1-26, April.
    16. Kruseman, G. & Ruben, R. & Kuyvenhoven, A. & Hengsdijk, H. & van Keulen, H., 1996. "Analytical framework for disentangling the concept of sustainable land use," Agricultural Systems, Elsevier, vol. 50(2), pages 191-207.
    17. Groot, Jeroen C.J. & Rossing, Walter a.H. & Tichit, Muriel & Turpin, Nadine & Jellema, André & Baudry, Jacques & Verburg, Peter & Doyen, Luc & van de Ven, Gerrie, 2009. "On the contribution of modelling to multifunctional agriculture: learning from comparisons," MPRA Paper 65467, University Library of Munich, Germany.
    18. van Ittersum, M. K. & Rabbinge, R. & van Latesteijn, H. C., 1998. "Exploratory land use studies and their role in strategic policy making," Agricultural Systems, Elsevier, vol. 58(3), pages 309-330, November.
    19. Ming Zhao & Qiuwen Chen, 2015. "Risk-based optimization of emergency rescue facilities locations for large-scale environmental accidents to improve urban public safety," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 163-189, January.
    20. Makowski, David & Hendrix, Eligius M. T. & van Ittersum, Martin K. & Rossing, Walter A. H., 2001. "Generation and presentation of nearly optimal solutions for mixed-integer linear programming, applied to a case in farming system design," European Journal of Operational Research, Elsevier, vol. 132(2), pages 425-438, July.

    More about this item

    Statistics

    Access and download statistics

    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:sae:envirb:v:33:y:2006:i:2:p:165-183. 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: SAGE Publications (email available below). General contact details of provider: .

    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.