Purpose: This study seeks to identify major issues in heat wave vulnerability studies. As the average temperature on earth is continuously increasing, and the rate of increase is accelerating due to global warming caused by climate change, various studies have been conducted to diagnose heat wave-related vulnerabilities in cities; this is one of the phenomena that is most directly exacerbated by global warming. Among various research frameworks used to analyze heat waves, this study adopts the vulnerability evaluation framework proposed in the IPCC comprehensive report on climate change. Method: This study looks at an overall research trend in the field of climate change, which is vulnerability to heat waves. Using the SciVal tool, we collected and analyzed information on keywords, citation counts, and country of publication of published studies to confirm the overall trend of research in the field of climate change. Finally, this study analyzes relevant studies that investigated heat waves, vulnerability, and major issues in heat wave vulnerability. Google Academic aided in choosing studies published between 2010 and 2019. The following key words were used individually and in combination as inclusion criteria: heat wave, vulnerability, risk, climate change, heat index, multiple regression, machine learning, ANN, and deep learning. Result: A total of 23 papers were selected for the analysis. First, the methodological trends were categorized into four groups by purpose.
The four purposes were vulnerable (hot) spot extraction, phenomenon review, analysis of heat-related indicators, and predictive model development. The studies mainly focus on developed countries rather than developing countries. Second, the material trends were categorized using the sectors of the IPCC vulnerability analysis framework, i.e. exposure, sensitivity, and adaptive capacity. The results showed that, in previous studies, many indicators were use