SPATIAL MULTI CRITERIA ANALYSIS FOR SITING INDUSTRIES (original) (raw)
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International Journal of Scientific & Engineering Research, 2015
Site selection is one of the primary decisions in the start-up process and town planning, development or relocation of industries of all kinds. Building of a new industrial system is related with long term investment, and in this sense planning the site are a significant point on the road to progress or failure of the industrial system and that effect on all other services in the city. One of the main objectives in industrial site selection is finding the most suitable site with required conditions. A large number of researchers depend on GIS because the availability and its wide uses in site selection. GIS is a combination with other systems and methods such as the method for multi-criteria decision making (MCDM). Multi-criteria decision analysis (MCDA) techniques can be used below such conditions to classify and rank options for subsequent complete evaluation, or to specify acceptable from unacceptable potentiality for many sites. Analytical Hierarchy Process (AHP) can beneficially be used for assigning weights to various criteria in MCDA. The aim of the present study is to develop a methodology to use GIS and MCDA for a new industrial site in Al-Nasiriyah city. In this paper, we will try to find optimum solution for industrial estates site selection and applying solution in GIS
2012
Suitable site analysis is a key factor in urban planning and a wide range of decision making and management situation. One of the issues that has recently been taken into consideration is site selection for installing industries to prevent from probable environmental crises and also to appropriately utilize all resources. In recent years, the integration of multi criteria decision analysis (MCDA) techniques with geographic information system (GIS) has considerably advanced the map overlay approaches to site suitability analysis. The main objective of this paper is to incorporate the concept of fuzzy set theory into the GIS-based MCDA. MCDA is utilized for assigning weights of the criteria for site selection and fuzzy is used to determine the most suitable alternative using these criteria weights. In this paper, first effective criteria were recognized for site selection of industrial areas such as slop, landuse, agriculture, fault, soil type and etc, then they were prepared in the f...
—In order to obtain national and international high-speed transport system, optimization of choosing the airport place is very important in country development. Analytical Hierarchy Process (AHP) have possible in using the linguistic variables along quantitative variables and essentially is based on expert opinions. In recent years in order to increase the capability of AHP, this method combined with the fuzzy method and in the Fuzzy-AHP algorithm is presented. In this paper, analytic hierarchy process (AHP), one of multi-criteria decision making (MCDM) techniques in the fuzzy environment is applied to select the optimal alternative for airport site selection in a case study. Results show that using AHP in the fuzzy environment improves decision making through considering more important factors in decision making. So the goal of this research is to investigate the environmental factors incorporating with airport site selection and optimal design for airport site selection using the GIS-based methodology in an illustrative study area.
INDUSTRIAL SITE SELECTION: AN INTELLIGENT GIS- BAESD DECISION ANALYSIS APPROACH
Building a new capital improvement facility is a major, long-term investment. Site selection is a critical decision made by private and public owners that affects a wide range of activities ranging from land use planning to sitting of industrial facilities. Determining facilities locations is critical to the success and failure of such investments. The selection of an industrial site involves a complex array of critical factors involving economic, social, technical, and environmental issues. Site selection is the process of finding locations that meet desired conditions set by the selection criteria. In such a process, manipulation of spatial data and satisfaction of multiple criteria are essential to the success of decision-making. Because of the complexity of the problems a number of tools must be deployed to arrive at the proper solution. A proposed approach is presented in which Expert Systems, Geographic information systems and Multi-criteria decision making techniques are integrated systematically in solving industrial site selection problems. In addition, the paper presents a comprehensive discussion of the site selection process, characteristics and tools.
Environmental Earth Sciences, 2018
Industrial sites are key factors in urban and regional land use planning. Therefore, determining the location of industrial areas is a critical and complex process for development and success. Industrial site selection aims in identifying the most suitable sites for industry creation, considering a set of influential criteria. Therefore, site selection generally and industrial site selection specifically can be categorised as a multi-criteria decision making (MCDM) problem that requires detailed evaluation of various dimensions. This study developed a set of clusters containing 10 selection criteria for industrial site selection in Isfahan metropolitan area, Iran. The relationships between the criteria and clusters were modelled and analysed using Analytical Hierarchy Process (AHP) and Analytical Network Process (ANP). AHP and ANP agree in finding distance to water bodies and distance to other industries as the most and least important selection criteria. Four patches have been identified as suitable alternatives for industrial construction. While AHP found Borkhar Patch 1 as the most appropriate alternative, ANP demonstrated the superiority of Ardestan Patch over others. Conducting a sensitivity analysis for the models confirmed both models robustness in industrial site selection decisions.
the application of GIS has grown in popularity among decision-makers and Policy-makers in the technology sector.GIS helps us understand the Earth and how its physical processes and features influence human activity and vice versa. When we organize data by location, we can see geographic patterns that help us understand how systems work and interact with one another. The first and most major factor that contributes to any kind of construction is a suitable site. Any process cannot be carried out properly without a suitable environment. As an outcome, site selection is a necessary step that must be accompanied by all construction activities. This Report aims at Identifying a suitable location For a new Hightech Park (IT Park) within KCC (Khulna city corporation Area. As a Mass of people, Will be facilitated by this Hightech park some major considerations are taken to make a sustainable Environment For Hightech Park. For Selecting a suitable Location multi-criteria analysis is used in this report. Besides strongly Focused on fire hazard-prone areas to prevent Fire hazards. Using Arc GIS pro and model builder outcome build for this report.
Multi-Criteria Spatial Decision Support System: Locating Industrial Zones with GIS
Accessing the infrastructure networks, the urban concentrations, the commercial and other activities or key locations, is considered by the spatial planners as a significant and sensitive variable for the territorial analysis. The spatial policies are determined today by the principals of equal and balanced distribution of human resources and activities, as well as by the systematic study of territorial disparities in the deepest territorial analysis detail level possible. The traditional calculative methods of accessibility indicators, do not take into account the entire space of the study area. In the contrary, are mainly based on calculating the travel cost on linear networks using the "arc-node" topologies. According to these methodologies, the variables (time, distance, or other types of cost) are calculated only for the network elements (nodes, lines). During the recent years, some published studies have appointed the above issue. Accessibility is faced as continuous data thus it is valued and attributed in the entire study area and not just on the network's body.