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This study aims to improve the offshore wind farm (OWF) site selection evaluation index system and establishes a decision-making model for OWF site selection. It is expected to provide helpful references for the progress of offshore wind power.

Firstly, this paper establishes an evaluation criteria system for OWF site selection, considering six criteria (wind resource, environment, economic, technical, social and risk) and related subcriteria. Then, the Criteria Importance Though Intercrieria Correlation (CRITIC) method is introduced to figure out the weights of evaluation indexes. In addition, the cumulative prospect theory and technique for order preference by similarity to an ideal solution (CPT-TOPSIS) method are employed to construct the OWF site selection decision-making model. Finally, taking the OWF site selection in China as an example, the effectiveness and robustness of the framework are verified by sensitivity analysis and comparative analysis.

This study establishes the OWF site selection evaluation system and constructs a decision-making model under the spherical fuzzy environment. A case of China is employed to verify the effectiveness and feasibility of the model.

In this paper, a new decision-making model is proposed for the first time, considering the ambiguity and uncertainty of information and the risk attitudes of decision-makers (DMs) in the decision-making process.

The purpose of this paper is to perform a systematic review on the application of different multi-criteria decision-making (MCDM) methods in solving the site selection problem across multiple problem domains. The domains are energy generation, logistics, public services and retail facilities. This study aims to answer the following research questions: Which evaluating criteria were used for each site selection problem domain? Which MCDM methods were frequently applied in a particular site selection problem domain?

The goals of the systematic review were to identify the evaluating criteria as well as the MCDM method used for each problem domain. A total of 81 recent papers (2014–2018) including 32 papers published in conference proceedings and 49 journal articles from various databases including IEEE Xplore, PubMed, Springer, Taylor and Francis as well as ScienceDirect were evaluated.

This study has shown that site selection for energy generation facilities is the most active site selection problem domain, and that the analytic hierarchy process (AHP) method is the most commonly used MCDM method for site selection. For energy generation, the criteria which were most used were geographical elements, land use, cost and environmental impact. For logistics, frequently used criteria were geographical elements and distance, while for public services population density, supply and demand, geographical layout and cost were the criteria most used. Criteria useful for retail facilities were the size (space) of the store, demographics of the site, the site characteristics and rental of the site (cost).

This study is limited to reviewing papers which were published in the years 2014–2018 only, and only covers the domains of energy generation, logistics, public services and retail facilities.

MCDM is a viable tool to be used for solving the site selection problem across the domains of energy generation, logistics, public services and retail facilities. The usage of MCDM continues to be relevant as a complement to machine learning, even as data originating from embedded IoT devices in built environments becomes increasingly Big Data like.

Previous systematic review studies for MDCM and built environments have either focused on studying the MCDM techniques itself, or have focused on the application of MCDM for site selection in a single problem domain. In this study, a critical review of MCDM techniques used for site selection as well as the critical criteria used during the MCDM process of site selection was performed on four different built environment domains.

There are multitudes of sites and buildings offering various services to their occupiers. Studies highlight that companies choose sites and buildings that enable business’ growth and competition. The purpose of this paper is to explore occupiers’ perspectives on headquarters (HQs) site selection preferences with reference to the public listed firms in South Africa’s eight metropolitan municipalities.

A literature review was conducted to understand site selection preferences in other countries to inform the current study. Empirical data were collected using a sequential mixed-method approach using interviews and a survey. Semi-structured interviews were conducted first with the executives/management and also personnel who are involved in site selection decisions. Purposive sampling technique was used to select one company per industry to be interviewed. The information gathered from interviews informed the survey that was distributed online using Qualtrics software to all public listed firms located within the eight metropolitan municipalities in South Africa. Thematic analysis was used for analysing the interviews, whereas self-explicated conjoint model was used for the survey.

The results reveal that HQs as occupants of space prefer facilities that have good security and security systems, backup generators, air conditioning, parking facilities, energy management, access to the internet, efficient water supply, quality meeting places, cleaning services, the condition of the premises and disabled-friendly facilities. In addition to these preferences, HQs also prefer sites that are accessible. From this study, aspects that are unique to South Africa’s case are around security and security systems. The higher the crime levels, the higher is the demand on HQs to provide security and security systems for not only for their premises but also their employees. The current water and energy outages are also affecting HQs resulting in companies preferring facilities with an efficient water supply and having backup generators.

The research only focussed on public listed firms located within the eight metropolitan municipalities. The findings may/may not apply to the HQs of non-listed firms and also to those situated outside the metropolitan municipalities. Owing to this, the results cannot be generalised. Further studies are needed to explore preference by industry with larger sample size.

This study provides insights on HQs site selection preference levels from the context of South Africa as a developing country. The insights would be useful to companies within the South African context to better understand their contextual dynamics and for companies seeking to do business in developing countries. Apart from companies, this study would also be beneficial to policymakers in creating enabling policies for companies, property developers to build facilities that embrace aspects preferred by occupants and investors to understand the preferences of HQs in the selection of sites for their operation.

In a developing country such as South Africa, there are limited studies on HQs site selection preferences; therefore, this study is one of the few studies bridging the knowledge gap. This study adopts a marketing approach to understand corporate real estate phenomenon.

This study aims to explore the critical influencing factors that lead to the site selection failure of waste-to-energy (WtE) projects in China under the influence of the “Not In My Back Yard” (NIMBY) effect, which can provide references to improve the decision-making process of similar projects in the future.

The fuzzy decision-making trial and evaluation laboratory (DEMATEL) method was used to propose an analytical framework for exploring the critical influencing factors affecting the site selection failure of WtE projects. The causal relationship between different influencing factors is finally determined on the basis of the opinions of 12 experts from universities, government departments, consulting units, planning and design units, construction units and WtE enterprises.

Results showed that six crucial factors resulted in the site selection failure of WtE projects from the NIMBY effect perspective: “Insufficient public participation,” “Near the place of residence,” “Nonstandard government decision-making processes,” “Low information disclosure,” “Destroys the surrounding environment,” and “Imperfect compensation scheme.”

Results can determine the priorities and causal relationships among the various influencing factors. The decision-making optimization suggestions can provide reference for decision- makers, thereby possibly promoting the scientific and standardization of site selection decision process.

The purpose of this paper is to document the corporate site selection and acquisition process in a Nigerian global system for mobile (GSM) communication company, using a case study approach.

The study integrates a literature review and a case study. The researcher made use of semi‐structured interviews to obtain information about the process of site selection and acquisition from the personnel of the property management department (property managers/SAQ managers) of the studied organisation. Beside the interviews, there was a series of follow‐ups for further clarification through telephone conversation and e‐mail. On average, the interview took about 45 minutes with each respondent, aside from prior occasional discussions undertaken to obtain some data.

Data obtained indicated that the process of site acquisition follows the global trend of outsourcing of non‐core services by organizations to consultants who have the technical ability to handle such assignments. The case study also revealed an arrangement of successful collaboration between multinational companies and local/indigenous firms.

The approach is subject to data distortion as there is no yardstick for comparison in the industry.

The study has major implications for real estate practice in Nigeria. Real estate practitioners need to acquire the technical ability to meet real estate/site acquisition service requirements of multinational companies. The profession also needs qualified and competent members who can compete favourably with their foreign counterparts, who have hitherto been providing site acquisition services for the foreign companies in their overseas branches.

The method of outsourcing breeds competitiveness for site acquisition service provision and enhances efficient service delivery. It helps indigenous contractors to favourably compete for jobs of international standard.

The study explores the case study approach to provide a guide for foreign investors towards meeting their real estate needs.

The United Nations Industrial Development Organisation (UNIDO) proposed the development of eco-industrial parks (EIP) related to the 9th, 12th, and 13th of the sustainable development goals (SDGs) for ensuring green industrial practice to deal with climate change. The first approach to EIP is choosing a suitable site, however, it is not a simple task, because it involves spatial factors and is always impaired by uncertainties that require more than one decision module. There is a fewer study in objectively assessing the criteria for the selection of suitable sites for EIP development to contribute to the SDG initiative. This study provides an integrated process for assessing a consistent weight of criteria for EIP site selection. Nine steps were used in the fuzzy-analytical hierarchy process namely criterion identification, hierarchical structure construction, triangular fuzzy number matrix, geometric ratio, fuzzy relative weight, defuzzification, normalisation, sensitivity analysis (SA) and weight ranking. When tested using spatial and non-spatial criteria for EIP site selection, results show transportation infrastructure (13%), raw materials (12%), water bodies (12%), climate (10%), labour (9%), land use (9%), markets (9%), governmental policies (8%), existing industries (7%), urban settlement (6%), and restricted areas (5%). The SA verified that any evaluation error of 2% or 5% on the criteria weight is insignificant, but for 10% error, results can be distorted. The study has developed a consistent, simple approach integrating hierarchical and uncertainty modules for choosing EIP locations, and it is proposed as a guide for selecting suitable greenfield or brownfield EIP sites for sustainable industrial practices.

This paper aims to analyze methodological limitations of methods used for the evaluation of sites as part of location strategies for corporations.

Based on the available methods for site selection, which are pointed out, various challenges for quality- and quantity-related criteria are derived and explained, whereby all common approaches have some methodological deficiencies.

Those defects have an impact on the result of site selection projects. Therefore, knowledge of these limitations in using certain methods is of essence for the right interpretation of the results. The respective methodological deficiencies are explained and conclusions are drawn.

Research in the area of site selection has been limited mostly to rather comprehensive approaches or national views. A holistic approach toward especially property-related matters is not available in current textbooks.

As common practice proves, the outlined deficiencies are mostly unknown or not considered. It is the aim of this paper to seek understanding of the respective methodological limitations and, as a result thereof, achieve substantially improved results of future site selection projects or location strategies.

Site selection is critical for planning a real estate development project. Different mathematical and statistical models have been applied to support real estate developers in selecting suitable sites for development projects. This paper presents a new approach to site location selection that makes use of Geographical Information Systems (GIS) that incorporates the utilization of the Data Envelopment Analysis (DEA) method called a GISbased site selection system. With the implementation of this system, users can determine the most suitable site objectively and visually. The paper also demonstrates an application of the system to a residential building project.

This study aims to provide a novel method for sport places site selection, although instead of using decision-making methods, the focus is on analytic functions in geographic information systems (GIS).

Researchers today have combined site selection science to a large extent with GIS and different decision-making methods to provide methods with higher confidence coefficients, however, it seems that there is a long way left to the best result.

After making a study database including data related to uses and urban elements, sports places, population density in study territory and drawing map of the region, by exporting data to GIS environment this database was prepared to use as separate layers. In the next step, the final map was made by shared overlapping of layer resulted from combining determining factors in sport places site selection and a layer of the sphere of influence of sport places available.

As with other research studies done for site selection, the region determined as high value in the final map was wide, a method of minimizing the difference of maximum and minimum standard deviation of polygons was used to minimize these lands. This method made it possible to plan to construct multiple sport places in succession.

Finding an appropriate place for temporary housing after an earthquake is one of the main challenges of disaster risk management, especially in developing countries. Therefore, it is necessary to create pre-disaster location plans for the homeless population. This study aims to systematically find safe places and select suitable sites according to influential factors.

The research methodology used is a descriptive–analytical method. A field survey with a quantitative–qualitative approach is applied to recognize physical vulnerabilities and select suitable sites for temporary settlements. Due to the occurrence of several earthquakes in recent decades around the city of Isfahan, Iran, this area has been studied. Fuzzy analytic hierarchy process, geographic information system and rapid visual screening have been used for data analysis.

According to the site selection and vulnerability criteria and their prioritization, the findings indicate that 60% of the study area is vulnerable. Moreover, vacant lots, stadiums and public green spaces that can be used as multi-purpose sites are the most appropriate options for the temporary settlement.

The research criteria are generalizable and can be used for decision-making, concerning urban fabric vulnerability and site selection of temporary housing in cities exposed to earthquake risk.

Cultural features, accessibility, land conditions, the slope and type of land, availability and construction materials were addressed in locating temporary settlements. In addition to vacant lots and open spaces, safe buildings were also identified for temporary housing, and religious minorities and similar communities were considered.