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Social Indicators Research

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03-11-2016

A GIS-Based Interval Fuzzy Linear Programming for Optimal Land Resource Allocation at a City Scale

Authors: Changgang Ma, Min Zhou

Published in: Social Indicators Research | Issue 1/2018

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Abstract

A geography information system based interval fuzzy linear programming model for city land resource allocation is developed in this study for dealing with land-use planning. The developed model improves upon the existing land resource allocation model with advantages in uncertainty reflection, model coupling, data availability and spatial analysis. The model can deal with uncertainties expressed as not only discrete interval values but also fuzzy sets. Therefore, it can effectively reflect dynamic, interactive complex, and uncertain characteristics of land-use system without unrealistic simplification. Moreover, the model can be used for supporting spatial allocation of land resources under a variety of ecological, environmental and socio-economic conditions. The developed model is applied to a real case of land resources allocation in Hangzhou City, China. Results demonstrate that the desired system benefit will be between $ [427.66, 549.83] × 10⁹; The model could help decision makers to generate stable and spatial land resources allocation patterns and strategic land use policies, gain in-depth insights into effects of the uncertainties and analyze trade-offs among economic objective, eco-environmental protection and social demands.

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Title: A GIS-Based Interval Fuzzy Linear Programming for Optimal Land Resource Allocation at a City Scale
Authors: Changgang Ma
Min Zhou
Publication date: 03-11-2016
Publisher: Springer Netherlands
Published in: Social Indicators Research / Issue 1/2018
Print ISSN: 0303-8300
Electronic ISSN: 1573-0921
DOI: https://doi.org/10.1007/s11205-016-1476-1

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