Stübinger J, Schneider L (2020)
Publication Type: Journal article
Publication year: 2020
Book Volume: 12
Pages Range: 1-23
Article Number: 8460
Journal Issue: 20
DOI: 10.3390/su12208460
This paper systematically reviews the top 200 Google Scholar publications in the area of smart city with the aid of data-driven methods from the fields natural language processing and time series forecasting. Specifically, our algorithm crawls the textual information of the considered articles and uses the created ad-hoc database to identify the most relevant streams “smart infrastructure”, “smart economy & policy”, “smart technology”, “smart sustainability”, and “smart health”. Next, we automatically assign each manuscript into these subject areas by dint of several interdisciplinary scientific methods. Each stream is evaluated in a deep-dive analysis by (i) creating a word cloud to find the most important keywords, (ii) examining the main contributions, and (iii) applying time series methodologies to determine the past and future relevance. Due to our large-scaled literature, an in-depth evaluation of each stream is possible, which ultimately reveals strengths and weaknesses. We hereby acknowledge that smart sustainability will come to the fore in the next years—this fact confirms the current trend, as minimizing the required input of energy, water, food, waste, heat output and air pollution is becoming increasingly important.
APA:
Stübinger, J., & Schneider, L. (2020). Understanding smart city—a data-driven literature review. Sustainability, 12(20), 1-23. https://doi.org/10.3390/su12208460
MLA:
Stübinger, Johannes, and Luisa Schneider. "Understanding smart city—a data-driven literature review." Sustainability 12.20 (2020): 1-23.
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