{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T11:58:03Z","timestamp":1770033483257,"version":"3.49.0"},"reference-count":72,"publisher":"SAGE Publications","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2021,12,16]]},"abstract":"<jats:p>In today\u2019s economy, information technology (IT) is vitally important, and the increasing use of the Internet, telecommunications services, and internal IT networks in organizations have led to rapid growth in the demands on big data processing. In general, site selection is a fundamental part of the design of a big data center (BDC), and a poor site decision can affect the sustainability of the facility. To construct a comprehensive assessment framework for a BDC, the following three categories of indicators are determined based on the \u201cSpecification for Design of Data Center\u201d in GB50174-2017 of China: economic factors, natural climate environment factors, and energy resources factors. After explaining the rationality of choosing these indicators in detail, an integrated method that combines the multi-criteria decision-making (MCDM) method and the multi-choice goal programming (MCGP) model is proposed. The proposed approach uses two phases to conduct the decision procedure. First, the preference ranking organization method for enrichment evaluation (PROMETHEE) method is applied to evaluate the economic factors. Then, the evaluation results are added to the MCGP model as one of the goals of multi-objective programming. Second, the remaining five sub-indicators and the evaluation results generated from the first phase are formulated as a complete MCGP model. Finally, an empirical study on the site selection for the BDC is implemented based on the proposed method. The result shows that Guiyang is the most suitable place for locating a BDC in China.<\/jats:p>","DOI":"10.3233\/jifs-210319","type":"journal-article","created":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T16:34:27Z","timestamp":1634142867000},"page":"6495-6515","source":"Crossref","is-referenced-by-count":2,"title":["An integrated approach to site selection for a big data center using PROMETHEE-MCGP methodology"],"prefix":"10.1177","volume":"41","author":[{"given":"Chenliang","family":"Li","sequence":"first","affiliation":[{"name":"School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, China"}]},{"given":"Xiaobing","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, China"},{"name":"Ministry of Education & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing, China"}]},{"given":"Wen-Xuan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Graduate Institute of Business Management, Chang Gung University, Tao-Yuan 333, Taiwan, ROC"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-210319_ref1","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.jclepro.2016.12.143","article-title":"Consideration of marginal electricity in real-time minimization of distributed data centre emissions","volume":"143","author":"Dandres","year":"2017","journal-title":"Journal of Cleaner Production"},{"key":"10.3233\/JIFS-210319_ref2","doi-asserted-by":"crossref","first-page":"448","DOI":"10.1016\/j.jclepro.2017.12.239","article-title":"Assessing ICT global emissions footprint: Trends to 2040 & recommendations","volume":"177","author":"Belkhir","year":"2018","journal-title":"Journal of Cleaner Production"},{"key":"10.3233\/JIFS-210319_ref3","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/j.cose.2017.12.008","article-title":"A new methodology toward effectively assessing data center sustainability","volume":"76","author":"Lykou","year":"2018","journal-title":"Computers & Security"},{"key":"10.3233\/JIFS-210319_ref5","unstructured":"Code for Design of Data Centers, in: M.o.I.a.I.T.o.t.P.s.R.o. 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