A Systematic Review on the Use of ChatGPT in Literature Review on Urban Heat Island Concept

Abstract

This systematic review explores the emerging role of Chat GPT, a large language model developed by Open AI, in supporting literature reviews related to the Urban Heat Island (UHI) phenomenon. As urbanization accelerates and UHI becomes a critical environmental challenge, scholars are increasingly turning to AI tools like Chat GPT to enhance the efficiency, breadth, and depth of academic reviews. Drawing on a synthesis of empirical studies and UHI-specific applications, this paper investigates how Chat GPT has been utilized by students and researchers to gather, synthesize, and interpret scholarly materials. The analysis highlights Chat GPT’s role as a virtual assistant in aiding academic writing, summarizing complex climatological datasets, generating thematic classifications, and identifying research gaps within UHI literature. While Chat GPT contributes significantly to productivity, accessibility, and idea generation, the review also identifies concerns around the model’s potential for hallucination, lack of source attribution, and limited domain specificity. Findings suggest that with proper guidance and ethical integration, Chat GPT can be a transformative tool in environmental literature analysis. The study concludes by recommending structured training for users, enhanced tool validation, and clear academic guidelines for responsible use of AI in UHI-related research contexts.

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