Behavior Analysis of Refugees' Electricity Consumption in Developing Countries: Case of Turkey

Ebru Acuner*, M. Ozgur Kayalica

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

In Turkey, refugees from Syria have been continuously increasing with rapid urbanization. Concurrently, energy consumption has been growing promptly. Supply and demand equality may be a crucial problem in the electricity market causing further instability and shortages leading to reliable predictions a necessity. For this reason, an informative questionnaire is prepared to take the expert opinions on the main drivers that shape the energy consumption behavior of Syrian refugees. In total, 17 experts are interviewed. The answers are explored by using NETICA software for Bayesian Belief Networks. Factors affecting energy consumption behavior and also strategies, institutions, tools, and financing methods that change the behavior toward efficient consumption are investigated. Based on obtained results, it can be claimed that to be successful, electricity prices and tariffs in the market should be arranged in the favor of energy efficiency. Besides, support mechanisms by not only the government but also by the municipalities should be considered while setting related policies. Also, electric appliance producers should develop and implement strategies and actions to encourage the usage of more efficient appliances. Last but not the least, nongovernmental organizations should raise refugees' awareness of the efficient electricity consumption to minimize the impacts of refugee inflows on the electricity market.

Original languageEnglish
Pages (from-to)1206-1215
Number of pages10
JournalIEEE Transactions on Engineering Management
Volume69
Issue number4
DOIs
Publication statusPublished - 1 Aug 2022

Bibliographical note

Publisher Copyright:
© 1988-2012 IEEE.

Keywords

  • Bayesian belief
  • behavior analysis
  • energy consumption
  • energy efficiency
  • refugees

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