• español
    • English
  • English 
    • español
    • English
  • Login
View Item 
  •   DSpace Home
  • Producción Científica
  • Artículos, capítulos, libros...UCO
  • View Item
  •   DSpace Home
  • Producción Científica
  • Artículos, capítulos, libros...UCO
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Multi-Objective Spatial Optimization: Sustainable Land Use Allocation at Sub-Regional Scale

Thumbnail
View/Open
sustainability-09-00927.pdf (3.107Mb)
Author
Azuara García, Guadalupe
Palacios Rosas, Efrén
García-Ferrer Porras, Alfonso
Montesinos Barrios, Pilar
Publisher
MDPI
Date
2017
Subject
Evolutionary algorithm
Food deficit
MAUSS model
Negative pressure on the environment
Sustainable land uses
METS:
Mostrar el registro METS
PREMIS:
Mostrar el registro PREMIS
Metadata
Show full item record
Abstract
The rational use of territorial resources is a key factor in achieving sustainability. Spatial planning is an important tool that helps decision makers to achieve sustainability in the long term. This work proposes a multi-objective model for sustainable land use allocation known as MAUSS (Spanish acronym for “Modelo de Asignación de Uso Sostenible de Suelo”) The model was applied to the Plains of San Juan, Puebla, Mexico, which is currently undergoing a rapid industrialization process. The main objective of the model is to generate land use allocations that lead to a territorial balance within regions in three main ways by maximizing income, minimizing negative environmental pressure on water and air through specific evaluations of water use and CO2 emissions, and minimizing food deficit. The non-sorting genetic algorithm II (NSGA-II) is the evolutionary optimization algorithm of MAUSS. NSGA-II has been widely modified through a novel and efficient random initializing operator that enables spatial rationale from the initial solutions, a crossover operator designed to streamline the best genetic information transmission as well as diversity, and two geometric operators, geographic dispersion (GDO) and the proportion (PO), which strengthen spatial rationality. MAUSS provided a more sustainable land use allocation compared to the current land use distribution in terms of higher income, 9% lower global negative pressure on the environment and 5.2% lower food deficit simultaneously
URI
http://hdl.handle.net/10396/14893
Fuente
Sustainability 9(6), 927 (2017)
Versión del Editor
https://doi.org/10.3390/su9060927
Collections
  • DIGISIC-Artículos, capítulos, libros...
  • DAgr-Artículos, capítulos, libros...
  • Artículos, capítulos, libros...UCO

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
© Biblioteca Universidad de Córdoba
Biblioteca  UCODigital
 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Statistics

View Usage Statistics

De Interés

Archivo Delegado/AutoarchivoAyudaPolíticas de Helvia

Compartir


DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
© Biblioteca Universidad de Córdoba
Biblioteca  UCODigital