Multicriteria Analysis for Land-Use Management

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Based on outdoors investigations in some typical regions, Landsat TM images acquired in May were interpreted by. Urban land-use management is a multi-component and multi-disciplinary process, which requires more than a single method for reasonable results. A GIS-based spatial analyzing information system for urban land-use decision-making was developed in this paper. This spatial analyzing information system consists of three parts: analysis of land-use change, land suitability assessment and corresponding land allocation.

The detailed framework of land suitability assessment of urban area is shown in Fig. The multi-criteria evaluation mechanism used in current researches enabled us to assess the suitability of the study area to each of the five types of land-uses. Land suitability analysis is a process of evaluating the land capacity of a given tract of land for a defined use.

Suitability assessment techniques integrate the opinion of experts and the optimal values of the most desirable factors [17,18]. Such techniques help officials and land managers to make decisions and set up policies regarding the use of particular areas of land [17]. Since urban complex ecosystem is composed of natural and man-made environment, many data sources must be considered to evaluate land suitability, such as spatial satellite images, land-use maps, water resources information, vegetation distribution and socio-economic statistical information [].

Based on the literature reviews and discussions with researchers and local experts, the factors of land-use suitability assessment in Changsha City were selected from a long list, including natural and ecological attributes, socio-economic conditions and residential factors []. The most commonly used factors to sup-.

Biological and water resources are important factors regarded as the representatives of natural environment quality. Besides, social and economic factors were also selected to reflect the disturbance intensity of human activity and ecosystem service value in these areas [10]. Based on the above analysis, a three-level evaluation system of land suitability was established, including three assessment subsystems: biology and water resources subsystem B1 , soil resources subsystem B2 and, society and economy subsystem B3 Table 1.

Eight factors were selected for the assessment system.

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Rivers and lakes were extracted from the Landsat satellite-based land-use map and used as the surface water parameter C1. The NDVI was the normalized ratio between the reflected radiance in the red channel and the reflected radiance in the infrared channel details on the use of NDVI to represent vegetation cover can be found in Ref. Soil penetrability C3 information were derived from soil type distribution map.

The data of soil fertility C4 could be extracted from the soil map, soil organic matter map, geologic map, etc.

Slope C5 data was derived from elevation contours, using a GIS slope generation function [20]. The data of foundation capacity C6 were extracted from the geological map after calculation. Resident land-use information C7 was extracted from the Landsat image. The landscape information C8 could be extracted from natural, tourism and geological map. The most used method for land evaluation in the previous researches is the land suitability classification model, according to FAO Food and Agriculture Organization of the United Nations land evaluation system [22].

According to the FAO guidelines, the land evaluation process for urban area can be divided into several steps, including the selection of evaluation factors, single-factor evaluation, determining weight value of different factors and obtaining the evaluation value. The AHP method was used to determine the weights of different factors in this study [23]. Based on the hierarchy structure in Table 1, the relative importance of the B1, B2 and B3 was analyzed according to the advice given by 20 experts with related backgrounds. Then the relations between each pos-. By the means of AHP, the single rank of each factor was determined, and so was the total rank.

The evaluation value of all related factors can be obtained by using. However, the above method is complicated with a variety of uncertainties and nonlinearities. For example, the difference in the same classification but at different levels is hard to be distinguished, and the difference among all the classifications in the boundary is overextended. To tackle the uncertainties for land suitability evaluation, the model was modified by using the GRA method. GRA is a method by which the complex multiple response optimization can be simplified into the optimization of a single response grey relational coefficient [14].

It is performed to obtain the relationship between the main factor and other reference factors in a given system. By using GRA, the model was modified as follows:. Normalize the sequences to ensure that all of them are in the same order, and the normalized sequences can be denoted as.

ISBN 10: 9048150779

Supported by the Spatial Analysis Module of ArcGIS, the integrated evaluation value Si could be determined through multiplying the obtained grey relational coefficient by the weighting vector for the indicator level by using Eq. The relational coefficient of factors was calculated by selecting the optimum value of each evaluating factor as the referring value. Using K-Means analysis method of SPSS software, according to land suitability classifications of FAO [22] Table 2 , the integrated evaluation value of each evaluation unit was sorted into five classes to obtain the land suitability classifications map Fig.

The land in the study area is allocated at both spatial and temporal scales. According to the integrated evaluation value of each unit and group discussions between experts and officials, the land suitability classification map for urban land in Changsha City was obtained Fig. The results indicate that reasonable land-use management policy and land planning measures must be adopted to maintain the sustainable development of Changsha City.

These sites cover an area of Industrial development and urban expansion are suitable in these. The land along the lower Laodao River and south of the lower Weishui River can be used for residential district development, while areas in northern Yuelu Mountain in Changsha City are suitable for tourism or commercial development. These areas are located in Chang-sha County, the Liuyang River basin, the medium-upper valley of the Laodao River and Changsha urban area, with an area of With better ecosystem stability, these areas are suitable for urban expansion, financial services and tourism based on the ecological consideration of water systems.

These areas cover Such areas have good anti-interference ability and average ecosystem service value. For the purpose of urban expansion, some ecological compensation measures, such as controlling strictly urban construction land, avoiding excessive exploitation and protecting water resources should be adopted in those areas. Currently not suitable areas are located along the Liuyang River, the Laodao River, the Jijiang River and mountainous areas along the upper Weishui River.

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With strong ecosystem sensitivity, weak anti-interference ability and important ecosystem service value, these areas are not suitable for urban development. Moderated land development measures, such as controlling building construction and popu-. Land suitability classifications of urban land.

S1 is highly suitable land, S2 is moderately suitable land and S3 is marginally suitable land. N1 is currently not suitable land and N2 is permanently not suitable land. Permanently not suitable areas are located in the Dawei Mountain forest park, Tianjiling National Forest Park, Shi-yan Lake ecological park and Yuelu Mountain tourism district, which have the highest ecological sensitivity and the weakest ecosystem stability.

This type of areas should be protected as key ecological protection areas for their fragile ecosystem and important ecosystem service value. Proper measures should be strengthened for restoration and rehabilitation of the damaged ecosystem. Industrial development is also forbidden in these areas. Two researches on urban land expansion and environmental management of Changsha using distinct methodologies were selected after the compilation and subsequent analysis of the available works [20,24].

The spatial analyzing system for land-use management proposed in this paper constituted a holistic index for land-use information system that made an assessment of the suitability for land development in a given area. In particular, we investigated the GRA method to handle the information about the uncertainty and risk involved in the choice of a solution. This method was applied with readily available spatial data, at a relatively low cost, and provided the possibility of exploring various scenarios. During the process of land-use assess-. The multi-criteria approach for land management avoids complexity in setting priorities and helps to focus on the most important objective and increase ecological integrity.

Interpretation of the environmental planning results can be used as a policy-support document for governmental authorities and industries, which have direct or indirect connections to land development and water quality management. The multi-criteria land suitability assessment model formulates the decision process as a set of objectives and constraints to coordinate different and even competing needs for land. The applications of the method have proved effective and the results can make an improvement in detailed design for environment-related activities.

The application of integrated AHP and GRA method helps to resolve the uncertainty, complexity and hierarchy characteristics of suitability evaluation. It allows for more effective reflection of the actual characteristics of the problem as compared to the single level-based evaluation. The different levels of importance of the criteria can be reflected through the weights to avoid subjectivity and randomness. In addition, the quantified evaluating scale, namely grey relational coefficient, makes the land-use management more comparable and comprehensive.

Through an actual case study, the effectiveness of the proposed method was verified. The study will be a reference to policy makers and urban planners in the rapidly changing environment especially in developing countries. As a problem in future research, it is worthwhile to develop integrated approaches which can take into account the independent principles of selecting criteria and the uncertainties of different system components during human decision-making process related to environmental management and planning. Land evaluation for peri-urban agriculture using analytical hierarchical process and geographic information system techniques: a case study of Hanoi.

Land Use Policy ;25 2 Modeling and measurement of two-layer-canopy interception loss in a subtropical mixed forest of central-south China. Hydrol Earth Syst Sci ;10 1 A GIS-based multi-criteria decision making approach to forest conservation planning at a landscape scale: a case study in the Kinabalu Area, Sabah, Malaysia. Landscape Urban Plan ;71 Integrating geographical information systems and multiple criteria decision making methods. Int J Geogr Inform Syst ;9 3 — Ordered weighted averaging with fuzzy quantifiers: GIS-based multicriteria evaluation for land-use suitability analysis.

An integrated GIS-based analysis system for land-use management of lake areas in urban fringe. Landscape Urban Plan ;82 4 A framework for the integration of geographical information systems and model base management.

Weighted Overlay in GIS

Int J Geogr Inform Sci ;11 4 Urban land-use allocation in a Mediterranean ecotone: habitat heterogeneity model incorporated in a GIS using a multi-criteria mechanism. Landscape Urban Plan ;72 4 Further development to integrate the ecosystem services concept into an adaptive landscape planning context, helps making the complexity of social-ecological systems more comprehensible for involved stakeholders. This enables the application of ConSite across sectoral interests e.

ConSite can thus help decision makers to secure socially acceptable, environmentally friendly and cost-effective siting and optimal design of renewable construction projects. This development will be based on an evaluation of user needs, a detailed requirement specification and system prototyping.

Multicriteria Analysis for Land Use Management

Skip to main content. Authors: Hanssen, F. Publication Date: January 22, Pages: Technology Type:. Wind Energy general , Land-Based Wind. Document Access. Website: External Link.

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