Download PDFOpen PDF in browserEvolution of Patterns in Inclusion, Diversity, Equity, and Accountability (IDEA) and Race, Ethnicity, and Language (REAL) in Construction Job Market using Web Scraping and Text Mining Techniques8 pages•Published: May 15, 2022AbstractThe primary objective of this research is to characterize job market trends and identify patterns in Inclusion, Diversity, Equity, and Accountability (IDEA) and Race, Ethnicity, and Language (REAL) in the construction industry. Workforce IDEA and REAL are major concerns in the construction industry. The construction industry has challenges of embracing the workforce IDEA and REAL such as age, language, sexual orientation, and disability. IDEA and REAL have impacts on hiring as well. However, there is a lack of data and research related to IDEA and REAL for the construction industry. In this respect, this research collects construction job market data using web scraping. Text mining techniques are then applied to detect words related to IDEA, REAL, job types, and wage changes during the web scraping period. We devise a new data-driven text mining model including the web scraping technique to provide market trends and identify patterns related to IDEA and REAL in the construction industry. This research will contribute to the body of knowledge of capturing the data regarding IDEA and REAL by harvesting large-scale data across disciplines in a searchable and organized structure.Keyphrases: construction workforce, diversity, inclusion, job market, text mining, web scraping In: Tom Leathem, Wes Collins and Anthony Perrenoud (editors). ASC2022. 58th Annual Associated Schools of Construction International Conference, vol 3, pages 166-173.
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